If we go by a rumor from earlier this month, Samsung will absolutely reveal its VR headset codenamed Challenge Moohan on October 21. So it is no shock that we’re lastly getting some strong details about what is perhaps referred to as the Galaxy XR. The leak comprises official-looking renders and key specs.
Samsung Galaxy XR
The Galaxy XR shall be outfitted with two 4K micro-LED shows with 4,032 ppi. Each shows mixed will function 29 million pixels, which is greater than the 23 million pixels provided by Apple’s Imaginative and prescient Professional or Meta’s Quest 3 headsets.
The Snapdragon XR2+ Gen 2 is tasked with the heavy lifting, whereas a bunch of sensors and cameras will be capable of observe your palms, eyes and setting. The eyewear options 4 sensors on the entrance and two on the backside, used for hand monitoring, together with a proximity sensor positioned close to the brow. This one is especially for security because it appears to be like for bodily boundaries like partitions, ceilings, furnishings, and so forth.
4 cameras on the within are tasked with eye monitoring, however in addition they have the assistance of an AI to extend accuracy.
There are additionally a bunch of microphones that may distinguish your voice from the encompassing sounds and may also detect different folks’s voices so that you could hear them extra clearly.
Samsung Galaxy XR
Transferring to the design, we see a really comparable look to the one we have seen again in January when Samsung showcased the headset within the flesh. Reportedly, there are many cushions inside that ought to make sporting the headset extra snug, and the band is, after all, adjustable with the dial on the again.
The quantity and energy buttons are situated on the prime and a cable runs alongside the left aspect of the band that connects to an influence supply, whereas the suitable aspect hosts a touchpad. Battery life is claimed to be 2 hours with regular use and a pair of.5 hours with simply video playback.
The entire system reportedly weighs 545 grams, which is a tad lighter than the Apple Imaginative and prescient Professional with its 600-650 grams, but it surely’s 30 grams greater than Meta’s Quest 3.
Samsung Galaxy XR
The headset will include a pair of controllers for extra correct hand monitoring in digital 3D environments throughout gaming, for instance. They’ll function haptic suggestions, after all.
Final however not least, we get just a few screenshots from the One UI XR, if that is certainly going to be the software program’s branding.
Screenshots from the alleged One UI XR
As we already famous, the discharge date is not official but, however the rumors up to now level towards the top of this month, October 21, to be exact. As for pricing, leaks recommend a price ticket of a minimum of $1,800.
The Minnesota Playing Management Board and the Division of Public Security have issued a warning following a spate of burglaries focusing on pull-tab dishing out machines.
The authorities have suggested organizations and retailers to be on alert, noting the elevated illicit exercise throughout the state, with particular directions given.
As a part of the warning, the our bodies have urged companies to not retailer cash within the dishing out machine, aside from what’s collected within the machine’s money field. They’ve additionally been instructed to take away money as incessantly as attainable.
The North Star State regulator issued the crime alert, with all playing operators requested to report any suspicious exercise to the related native enforcement businesses.
Ongoing sample of criminals focusing on pull-tab machines
It follows a major police sting six months in the past, when investigators confirmed eight people had been linked to greater than 30 burglaries in Minnesota, with a whole bunch of hundreds of {dollars} stolen.
The crime ring particularly focused companies within the state that had been promoting charitable pull-tabs.
Regulation enforcement officers detailed that the illicit exercise was rigorously orchestrated, with the group thought to have scoped out and attacked companies that stored money on web site “due to pull tab charitable playing operations,” in response to the official legal grievance seen by ReadWrite.
Round 40 completely different premises had been focused, over lower than a 12 months, with the criminals escaping with virtually $200,000.
“The interval charged as racketeering on this grievance included 44 felony second-degree and tried second-degree burglaries and/or thefts occurring between March 6, 2023, and February 22, 2024, together with 10 in Hennepin County.” – Official court docket doc
Elsewhere in Minnesota, a 37-year-old was sentenced by a US District Court docket to 51 months imprisonment adopted by three years of supervised launch for embezzlement of greater than $2.7 million from her employer.
Future McKayla Combs used the funds largely to fund her playing behavior, abusing her place because the Accounting Supervisor for a surrogacy company and affiliated regulation agency.
“Combs’s scheme was easy: she used private bank cards to fund her playing behavior, then used firm funds to pay her bank card payments,” detailed a press launch from the US Lawyer’s Workplace.
Your laptop’s mouse may not be as harmless because it seems – and one ransomware crew has a disaster of conscience that no one noticed coming.
We discuss how one thing as peculiar as an online web page might flip your mouse right into a surprisingly nosey neighbour, and why ransomware gangs want to consider carefully about their repute.
In the meantime, Graham reveals a baked potato hack which may simply change your life, and we take an surprising detour to South America for a little bit of literary journey involving inflatable pigs.
All this and extra is mentioned in episode 436 of the “Smashing Safety” podcast with cybersecurity veteran Graham Cluley, and his particular visitor Geoff White.
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As firms scramble to deploy AI in manufacturing, a brand new dynamic has emerged: knowledge infrastructure is now the bottleneck. Fashions are solely pretty much as good as the data they’ll entry, and most organizations nonetheless can’t shut the hole on making their knowledge out there, ruled, and quick sufficient to maintain up.
Fragmented programs scattered throughout a variety of clouds and regulatory zones make that connection sluggish and unreliable. For organizations, progress is determined by the flexibility of knowledge platforms to intelligently carry governance into place with out breaking compliance or repeating the identical work.
That set the context for Starburst’s reveal at AI & Datanova 2025. The corporate introduced an AI-ready knowledge platform that extends its lakehouse basis to incorporate multi-agent workloads and vector-native capabilities. That is a part of Starburst’s imaginative and prescient for what it calls the Agentic Workforce—a mannequin the place people and AI brokers work aspect by aspect to motive, determine, and act throughout data-driven workflows.
The method combines a number of tendencies redefining enterprise AI: model-to-data entry, which lets brokers question data the place it resides; federated governance that retains management native; and new visibility instruments monitoring how fashions are used throughout a company. Starburst’s transfer is a part of a broader shift away from specializing in constructing fashions and as an alternative towards strengthening the information layer that determines whether or not AI can run safely and at scale.
Starburst is presenting this new launch as greater than one other function replace. It calls it a reimagining of how knowledge infrastructure permits AI at scale. As a substitute of constructing new instruments other than current programs, the corporate is returning to its roots and specializing in the muse that enables knowledge and intelligence to attach extra simply. The result’s a scale-up of its lakehouse structure that features options permitting enterprise knowledge to be immediately usable by AI programs.
On the heart is model-to-data entry, which permits AI brokers to ask questions of ruled data the place it lives. This helps reduce duplication, cut back latency, and keep management over privateness and compliance in advanced, distributed environments. Multi-agent interoperability comes with early help for the rising Mannequin Context Protocol (MCP), which permits separate AI brokers to share context and carry out duties inside that ruled knowledge layer.
A 3rd addition, open vector entry, hyperlinks Starburst with Iceberg, PGVector, and Elasticsearch for retrieval-augmented technology throughout structured and unstructured sources. This convergence permits AI to attract from each enterprise-level and contextual data, creating extra significant insights with out sacrificing governance or transparency. Mixed, these capabilities place Starburst’s platform as an structure constructed for a brand new period of enterprise-scale, data-aware AI.
Matt Fuller, VP of AI/ML Merchandise at Starburst, instructed BigDataWire that the corporate desires enterprises to “rethink how knowledge structure serves AI by minimizing knowledge motion, and bringing compute to the information, not the opposite means round.” He defined that fixing knowledge fragmentation has been a part of Starburst’s design from the start. “As a substitute of centralizing every thing in a single warehouse, Starburst’s federated question engine lets AI workloads entry ruled knowledge immediately throughout clouds, areas, and on-prem programs with out replication,” he stated.
“For AI use circumstances, which means fashions and brokers can question, enrich, and retrieve the data they want from distributed sources by ruled knowledge merchandise,” Fuller shared. “It reduces latency, improves effectivity, and ensures compliance when working with delicate or regulated knowledge.”
(nuddss/Shutterstock)
When requested how Starburst matches inside the rising area of ‘AI-ready’ platforms, Fuller instructed BigDataWire that Starburst “permits model-to-data orchestration, letting AI, analytics, and brokers question ruled knowledge in place, with out replication or motion.” He added, “We’re the management airplane for clever programs, making certain each mannequin, agent, and consumer operates from the identical ruled supply of fact.”
Starburst can also be turning its consideration to what occurs after the information connection is made. The corporate added new monitoring options so groups can see how AI fashions are getting used, set limits on exercise, and regulate prices as initiatives scale. Each interplay could be tracked by dashboards that make it simpler to identify points early and keep inside coverage.
The agent itself has grown extra visible. It may well reply not solely with textual content however with charts or graphs that assist individuals perceive the story behind the numbers. That small shift pushes the platform nearer to on a regular basis enterprise use, the place readability typically issues greater than complexity.
Starburst has additionally put additional weight on compliance. Its coverage engine makes use of metadata to maintain observe of lineage and meet requirements resembling GDPR and Schrems II whereas maintaining knowledge beneath native management. The system is constructed on Trino and Apache Iceberg as a part of what the corporate calls its Lakeside AI structure. Starburst stated the brand new capabilities are anticipated later this yr, marking one other step within the lengthy effort to carry belief and intelligence into the identical area.
Right this moment, we’re saying Amazon Fast Suite, a brand new agentic teammate that shortly solutions your questions at work and turns these insights into actions for you. As an alternative of switching between a number of functions to assemble knowledge, discover necessary indicators and traits, and full guide duties, Fast Suite brings AI-powered analysis, enterprise intelligence, and automation capabilities right into a single workspace. Now you can analyze knowledge by means of pure language queries, discover crucial info throughout enterprise and exterior sources in minutes, and automate processes from easy duties to advanced multi-department workflows.
Right here’s a glance into Fast Suite.
Enterprise customers usually want to assemble knowledge throughout a number of functions—pulling buyer particulars, checking efficiency metrics, reviewing inner product info, and performing aggressive intelligence. This fragmented course of usually requires session with specialised groups to investigate superior datasets, and in some circumstances, have to be repeated recurrently, decreasing effectivity and resulting in incomplete insights for decision-making.
Fast Suite helps you overcome these challenges by combining agentic teammates for analysis, enterprise intelligence, and automation right into a unified digital workspace to your day-to-day work.
Built-in capabilities that energy productiveness Fast Suite consists of the next built-in capabilities:
Analysis – Fast Analysis accelerates advanced analysis by combining enterprise data, premium third-party knowledge, and knowledge from the web for extra complete insights.
Enterprise intelligence – Fast Sight gives AI-powered enterprise intelligence capabilities that rework knowledge into actionable insights by means of pure language queries and interactive visualizations, serving to everybody make quicker selections and obtain higher enterprise outcomes.
Automation – Fast Flows and Fast Automate assist customers and technical groups to automate any enterprise course of from easy, routine duties to advanced multi-department workflows, enabling quicker execution and decreasing guide work throughout the group.
Let’s dive into a few of these key capabilities.
Fast Index: Your unified data basis Fast Index creates a safe, searchable repository that consolidates paperwork, information, and software knowledge to energy AI-driven insights and responses throughout your group.
As a foundational part of Fast Suite, Fast Index operates within the background to convey collectively all of your knowledge—from databases and knowledge warehouses to paperwork and e-mail. This creates a single, clever data base that makes AI responses extra correct and reduces time spent looking for info.
Fast Index mechanically indexes and prepares any uploaded information or unstructured knowledge you add to your Fast Suite, enabling environment friendly looking, sorting, and knowledge entry. For instance, whenever you seek for a particular mission replace, Fast Index immediately returns outcomes from uploaded paperwork, assembly notes, mission information, and reference supplies—all from one unified search as an alternative of checking totally different repositories and file methods.
Fast Analysis: From advanced enterprise challenges to expert-level insights Fast Analysis is a robust agent that conducts complete analysis throughout your enterprise knowledge and exterior sources to ship contextualized, actionable insights in minutes or hours — work that beforehand may take longer.
Fast Analysis systematically breaks down advanced questions into organized analysis plans. Beginning with a easy immediate, it mechanically creates detailed analysis frameworks that define the strategy and knowledge sources wanted for complete evaluation.
After Fast Analysis creates the plan, you may simply refine it by means of pure language conversations. When you find yourself proud of the plan, it really works within the background to assemble info from a number of sources, utilizing superior reasoning to validate findings and supply thorough evaluation with citations.
Fast Analysis integrates together with your enterprise knowledge linked to Fast Suite, the unified data basis that connects to your dashboards, paperwork, databases, and exterior sources, together with Amazon S3, Snowflake, Google Drive, and Microsoft SharePoint. Fast Analysis grounds key insights to unique sources and divulges clear reasoning paths, serving to you confirm accuracy, perceive the logic behind suggestions, and current findings with confidence. You possibly can hint findings again to their unique sources and validate conclusions by means of supply citations. This makes it very best for advanced matters requiring in-depth evaluation.
Fast Sight: AI-powered enterprise intelligence Fast Sight gives AI-powered enterprise intelligence capabilities that rework knowledge into actionable insights by means of pure language queries and interactive visualizations.
You possibly can create dashboards and government summaries utilizing conversational prompts, decreasing dashboard improvement time whereas making superior analytics accessible with out specialised expertise.
Fast Sight helps you ask questions on your knowledge in pure language and obtain immediate visualizations, government summaries, and insights. This generative AI integration gives you with solutions out of your dashboards and datasets with out requiring technical experience.
Utilizing the eventualities functionality, you may carry out what-if evaluation in pure language with step-by-step steering, exploring advanced enterprise eventualities and discovering solutions quicker than earlier than.
Moreover, you may reply to insights with one-click actions by creating tickets, sending alerts, updating data, or triggering automated workflows instantly out of your dashboards with out switching functions.
Fast Flows: Automation for everybody With Fast Flows, any consumer can automate repetitive duties by describing their workflow utilizing pure language with out requiring any technical data. Fast Flows fetches info from inner and exterior sources, takes motion in enterprise functions, generates content material, and handles process-specific necessities.
Beginning with easy enterprise necessities, it creates a multi-step circulation together with enter steps for gathering info, reasoning teams for AI-powered processing, and output steps for producing and presenting outcomes.
After the circulation is configured, you may share it with a single click on to your coworkers and different groups. To execute the circulation, customers can open it from the library or invoke it from chat, present the mandatory inputs, after which chat with the agent to refine the outputs and additional customise the outcomes.
Fast Automate: Enterprise-scale course of automation Fast Automate helps technical groups construct and deploy refined automation for advanced, multistep processes that span departments, methods, and third-party integrations. Utilizing AI-powered pure language processing, Fast Automate transforms advanced enterprise processes into multi-agent workflows that may be created merely by describing what you need to automate or importing course of documentation.
Whereas Fast Flows handles easy workflows, Fast Automate is designed for complete and sophisticated enterprise processes like buyer onboarding, procurement automations, or compliance procedures that contain a number of approval steps, system integrations, and cross-departmental coordination. Fast Automate presents superior orchestration capabilities with in depth monitoring, debugging, versioning, and deployment options.
Fast Automate then generates a complete automation plan with detailed steps and actions. You will see that a UI agent that understands pure language directions to autonomously navigate web sites, full kind inputs, extract knowledge, and produces structured outputs for downstream automation steps.
Moreover, you may outline a customized agent, full with directions, data, and instruments, to finish process-specific duties utilizing the visible constructing expertise – no code required.
Fast Automate consists of enterprise-grade options resembling consumer function administration and human-in-the-loop capabilities that route particular duties to customers or teams for evaluation and approval earlier than persevering with workflows. The service gives complete observability with real-time monitoring, success charge monitoring, and audit trails for compliance and governance.
Further foundational capabilities Fast Suite consists of different foundational capabilities that ship seamless knowledge group and contextual AI interactions throughout your enterprise.
Areas – Areas present an easy manner for each enterprise consumer so as to add their very own context by importing information or connecting to particular datasets and repositories particular to their work or to a specific perform. For instance, you would possibly create an area for quarterly planning that features price range spreadsheets, market analysis studies, and strategic planning paperwork. Or you could possibly arrange a product launch house that connects to your mission administration system and buyer suggestions databases. Areas can scale from private use to enterprise-wide deployment whereas sustaining entry permissions and seamless integration with Fast Suite capabilities.
Chat brokers – Fast Suite consists of insights brokers that you should use to work together together with your knowledge and workflows by means of pure language. Fast Suite features a built-in agent to reply questions throughout your entire knowledge and customized chat brokers that you may configure with particular experience and enterprise context. Customized chat brokers may be tailor-made for specific departments or use circumstances—resembling a gross sales agent linked to your product catalog knowledge and pricing info saved in an area or a compliance agent configured together with your regulatory necessities and actions to request approvals.
Further issues to know In case you’re an current Amazon QuickSight buyer – Amazon QuickSight prospects might be upgraded to Fast Suite, a unified digital workspace that features all of your current QuickSight enterprise intelligence capabilities (now known as “Fast Sight”) plus new agentic AI capabilities. That is an interface and functionality change—your knowledge connectivity, consumer entry, content material, safety controls, consumer permissions, and privateness settings stay precisely the identical. No knowledge is moved, migrated, or modified.
Fast Suite presents per-user subscription-based pricing with consumption-based expenses for the Fast Index and different non-obligatory options. Yow will discover extra element on the Fast Suite pricing web page.
Now accessible Amazon Fast Suite offers you a set of agentic teammates that helps you get the solutions you want utilizing all of your knowledge and transfer immediately from solutions to motion so you may deal with excessive worth actions that drive higher enterprise and buyer outcomes.
In just some weeks, we’ll collect at Microsoft Ignite 2025 to deal with 4 pillars that outline profitable AI transformation: enhancing worker experiences, reinventing enterprise processes, deepening buyer connections, and bending the curve of business innovation. Throughout each sector, organizations are asking tips on how to notice these outcomes with velocity and confidence, and Microsoft companions are those who could make it attainable.
Be a part of us in San Francisco or on-line November 18–21 to see the newest improvements, join with Microsoft leaders and friends, and learn to ship even larger affect on your prospects. Registration is open, and there’s nonetheless time to reserve your spot right this moment.
What to anticipate at Microsoft Ignite
Discover ways to unlock essentially the most worth out of your Microsoft partnership by means of the Microsoft AI Cloud Associate Program. Discover the newest associate advantages, skilling sources, co-sell alternatives, and answer performs designed to speed up development and innovation. From constructing AI-powered options to driving buyer transformation throughout industries, uncover tips on how to strengthen your differentiation, develop your market attain, and ship extra worth by means of the Microsoft Cloud.
The agenda is designed to provide companions a curated expertise.
Keynotes from Microsoft and business leaders showcasing product improvements and associate affect tales:
Ignite opening keynote The opening keynote will characteristic Judson Althoff, CEO of Microsoft industrial enterprise, with our senior Microsoft engineering leaders as they unveil the newest improvements driving the following wave of AI transformation—empowering each human and each group throughout each business to redefine what it means to change into frontier.
Remodeling Collectively: Partnering within the Rise of Frontier Companies Be a part of Nicole Dezen, Chief Associate Officer and Company Vice President, International Associate Options, Nick Parker, President of Enterprise, Trade and Partnerships, and Ralph Haupter, President and CRO, Small Medium Enterprises and Channel (SME&C) for a dynamic keynote that explores the evolving position of companions in shaping the following era of Frontier Companies. This session will highlight success tales of companions main prospects by means of AI transformation, how we’re delivering success collectively, and the newest investments and bulletins from the Microsoft AI Cloud Associate Program.
Breakout periods on incentives, co-sell alternatives, answer areas, and AI-driven development.
Theater periods that includes real-world examples of AI functions, clever brokers, and knowledge options.
The Hub expo space with alternatives for answer demos, connecting with subject material consultants, and taking part in interactive discussions.
The Microsoft AI Cloud Associate Program sales space within the Hub, the place you will discover out extra about and buy associate advantages packages.
Possibilities to seek out and join with in-person attendees by means of our attendee listing, in addition to occasion audio system by means of our speaker listing.
Night networking occasions that provide a relaxed method to join, together with Neon Night time on Tuesday, November 18, and the Block Celebration on Wednesday, November 19.
Ignite can also be the place we have fun companions who’re main in digital transformation, together with the soon-to-be-announced 2025 Microsoft Associate of the 12 months Award winners.
Microsoft AI Cloud Associate Program: Uncover tips on how to get essentially the most out of this system for skilling, pipeline development, and go-to-market success with immersive AI experiences and strategic alignment.
Modernize with Cloud & AI: Modernize knowledge platforms with Azure AI to drive innovation, unify methods, and scale enterprise workloads.
Lead AI transformation with Copilot: Scale your AI observe and speed up enterprise development with Copilot, clever brokers, and low-code automation.
Drive business income and development: Discover new improvements, be taught from associate success tales, and place your small business as a Frontier Agency chief.
Your subsequent actions
Register now to safe your spot in San Francisco or be a part of us on-line. Make sure you choose the precise associate monitor so you may make the most of periods tailor-made to your development.
Browse the session catalog to seek out periods you’re concerned with and add them to your Favorites record for simple reserving.
Take a look at our record of sponsors to request conferences and begin making connections.
Ignite is the place we form what’s subsequent, collectively. I look ahead to connecting with you in San Francisco or on-line and seeing our associate ecosystem proceed to prepared the ground within the AI period.
GeoCue unveiled the TrueView 641 at INTERGEO 2025, a brand new NDAA-compliant aerial LiDAR sensor designed to fulfill rising demand from surveying and engineering corporations throughout the USA and worldwide. The engineering-grade sensor addresses the growing variety of Federal, State, Native, and Academic contracts requiring NDAA compliance whereas sustaining price accessibility with out compromising efficiency.
The TrueView 641 represents GeoCue’s growth into compliant options as extra professionals require entry to sensors assembly these stringent necessities. The system integrates seamlessly into skilled UAV workflows and consists of GeoCue’s industry-leading LP360 Drone software program for knowledge processing, high quality assurance, and deliverable technology.
“We acknowledge the rising demand for NDAA-compliant options, and the TrueView 641 delivers exactly that—engineering-grade accuracy mixed with accessibility, guaranteeing extra professionals can compete for initiatives requiring these requirements,” stated Frank Darmayan, COO of GeoCue Group.
Strategic Partnership with Triple-IN Laser Technic
GeoCue partnered with Triple-IN Laser Technic, a German chief in LiDAR design and improvement, to carry the sensor to market. Triple-IN makes a speciality of high-accuracy LiDAR sensors with field-proven functions spanning industrial automation, mining, surveying, mapping, civil engineering, and good metropolis infrastructure. The corporate brings over twenty years of innovation and in-house manufacturing expertise, delivering strong and cost-effective LiDAR methods deployed worldwide.
The partnership leverages Triple-IN’s cutting-edge European engineering experience mixed with GeoCue’s established integration, software program, and buyer assist ecosystem to create a complete answer for geospatial professionals.
Engineering-Grade Efficiency Specs
The TrueView 641 delivers precision and reliability anticipated from GeoCue’s TrueView product line whereas increasing entry to NDAA-compliant drone options. The system options engineering-grade capabilities together with a spread as much as 400 meters, lower than 4 mm accuracy, and a 120-degree area of view with assist for as much as 6 returns.
The sensor integrates an NDAA-compliant 26 megapixel world shutter digicam and combines level density, accuracy, vary, and scan pace in a single revolutionary sensor. This configuration makes it supreme for initiatives demanding precision throughout difficult environments together with forestry, infrastructure, transportation, and concrete mapping functions.
“The TrueView 641 fills a small hole in our portfolio, making single beam NDAA-compliant LiDAR extra accessible to the market,” stated Vivien Heriard-Dubreuil, CEO of mdGroup, mother or father firm of GeoCue. “After fastidiously evaluating main LiDAR producers, we chosen an answer we might combine with full confidence. With a 26 MP digicam, our TrueNav system, and LP360 software program, the TrueView 641 delivers crisp level clouds making it an impressive NDAA-compliant choice for geospatial professionals.”
Vincent Legrand, Vice President of International Gross sales at GeoCue, emphasised market responsiveness. “We’ve responded to the wants of our US distributors and clients who requested for a extra reasonably priced NDAA-compliant answer,” Legrand said. “On the similar time, the TrueView 641 is an ideal match for our world clients who want a long-range, engineering-grade LiDAR payload. Paired with our world-class assist and LP360 software program, we’re delivering a singular worth proposition that units GeoCue aside out there.”
The TrueView 641 shall be out there by year-end, with first deliveries anticipated earlier than December and early orders securing precedence achievement. Extra info on the Trueview 641 and different sensors inside GeoCue’s vary is obtainable from their web site.
About GeoCue
GeoCue brings geospatial consultants the easiest in drone, cell and land surveying gear, geospatial level cloud software program, workflow, coaching, and assist for high-accuracy LiDAR and Imagery 3D mapping to assist civil engineering and surveying professionals obtain profitable knowledge assortment, processing, and administration. With TrueView LiDAR/Imaging sensors and LP360 level cloud knowledge processing software program, we’re the chief in LiDAR mapping processing in North America capable of meet clients the place they’re when it comes to know-how, adoption, finances, and sources.
Learn Extra
Ian McNabb is a journalist specializing in drone know-how and way of life content material at Dronelife. He’s primarily based between Boston and NH and, when not writing, enjoys mountain climbing and Boston space sports activities.
3d rendering robotic assisted surgical procedure machine with surgical procedure lights
By Antonio Herrera, Portescap
It’s no exaggeration to say that advances in robotics are reshaping fashionable medication. From high-precision surgical platforms to automated drug supply programs, robotic applied sciences are driving new requirements in affected person care, surgical efficiency, and procedural effectivity. As designs change into extra compact, cellular, and succesful, in addition they place new calls for on the parts that drive them, notably the movement programs at their core.
On this setting, movement precision is significant. Whether or not a robotic is navigating the advantageous construction of the internal ear or threading a catheter via an artery, even the smallest deviation in motor conduct can alter outcomes. That’s why OEMs constructing the subsequent technology of medical units are more and more turning to movement specialists who perceive the real-world circumstances of surgical theaters and therapy environments.
Portescap, a worldwide chief in precision motor options, has lengthy centered on this intersection of superior movement and medical want. With a long time of expertise in motors, gearheads, encoders, and assemblies, the corporate develops programs which might be purpose-built for healthcare purposes.
Movement precision allows higher surgical outcomes
In robotic-assisted surgical procedure, management precision is instantly tied to affected person outcomes. Decreasing invasiveness, enhancing accuracy, and shortening restoration time all rely upon how reliably a movement system can translate surgical enter into mechanical motion. The smoother and extra responsive the motor, the higher the management over the tip effector, and due to this fact the higher the end result for the affected person.
One of many essential technical boundaries is cogging torque, which causes uneven or jerky motor rotation. Portescap addresses this with brushless DC (BLDC) motors that includes a slotless design, which helps eradicate cogging whereas sustaining excessive torque density.
These motors help the type of sub-millimeter precision wanted in microsurgery and superior endoscopy, combining clean movement with excessive pace and torque efficiency. Paired with high-resolution magnetic encoders, they ship the real-time suggestions required for superior robotic management.
Designed for sterility and constructed to final
In lots of medical purposes, machine parts should face up to repeated sterilization. Surgical energy instruments and robotic programs that come into direct contact with sufferers should be cleaned in methods which might be each thorough and unforgiving, with steam sterilization as one of the frequent strategies.
Because of this, Portescap has developed a variety of autoclavable motors, encoders, and gearheads which might be designed to outlive these circumstances. Their slotted BLDC motors are designed to resist greater than 1,000 autoclave cycles, although could be custom-made to exceed 3,000 cycles. Encoders and gearheads are additionally validated for 1000’s of sterilization cycles. These capabilities not solely guarantee security but in addition assist hospitals handle prices and scale back waste by enabling reuse somewhat than counting on disposables.
Miniaturization with out compromise
One of many greatest developments in medical robotics is the transfer towards smaller, lighter, and extra ergonomic units. This improves portability and value, but it surely additionally locations very heavy calls for on movement programs.
Miniaturization introduces challenges comparable to warmth administration, lowered house for bearings and sensors, and tighter tolerances for meeting. On the similar time, the motor should ship sufficient torque and pace to carry out demanding procedures, typically inside battery-powered programs the place effectivity is essential.
Portescap meets these wants with compact motors that stability measurement with efficiency. Their Extremely EC™ brushless motors, for instance, supply excessive torque in small diameters, making them appropriate for transportable infusion pumps, surgical handpieces, and robotic joints. With diameters beginning at 8 mm, these motors can combine into tight areas whereas nonetheless managing warmth and sustaining dynamic response.
For disposable purposes comparable to single-use injectors, Portescap gives brushed DC and stepper motor choices. These designs are cost-effective however nonetheless ship the torque and reliability required for protected dosing.
Customization for advanced calls for
Each software brings its personal constraints. Pace, torque, footprint, sterilization technique, and management interface all must be balanced fastidiously. Off-the-shelf motors typically fall quick when a number of necessities converge.
That’s the reason the vast majority of Portescap’s medical initiatives contain {custom} or semi-custom designs. Working intently with OEM design engineering groups, Portescap tailors movement options to fulfill exact technical and regulatory necessities. This would possibly contain choosing supplies for corrosion resistance, designing distinctive mechanical interfaces, or optimizing a motor’s response profile for a selected surgical want.
Participating with movement specialists early within the design section makes it simpler to realize the best stability between efficiency and integration. It additionally helps keep away from pricey redesigns later within the growth cycle.
Enabling the way forward for medical robotics
Medical robotics continues to advance quickly. From AI-assisted surgical procedure to automated diagnostics, the sector is filled with innovation. However regardless of how superior the software program turns into, {hardware} nonetheless determines what is feasible. The bodily programs on the coronary heart of those instruments should ship constant, exact, and dependable efficiency in demanding environments.
For engineers constructing these programs, movement design lies on the basis of the machine. Corporations like Portescap carry not solely a variety of miniature motor applied sciences but in addition the applying information and customization expertise wanted to show formidable concepts into protected, efficient medical options. As healthcare expertise continues to evolve, the function of trusted movement companions will solely develop extra necessary.
Uncover how Portescap’s precision motor options can carry unmatched accuracy, reliability, and customization to your next-generation medical units: Be taught Extra
AI didn’t kill coding. It killed the boring elements.
Press enter or click on to view picture in full measurement
Illustration by writer.
I’ve been coding since I used to be 12.
Began with Weebly. Then HTML. Then CSS. Then JavaScript. Then Swift. Then no matter else I wanted to construct no matter silly thought popped into my head that what
For years, I assumed being an excellent developer meant memorizing syntax, debugging for hours, and Googling Stack Overflow solutions at 2 AM.
I used to be incorrect.
The most effective engineers I do know at this time barely contact their keyboards.
They assume. They architect. They dream.
And AI does the remainder.
The dying of the code monkey
Final week, I watched a 19-year-old school dropout construct a totally practical SaaS product in 72 hours.
No workforce. No traders. No senior builders trying over his shoulder.
Simply him, his laptop computer, and Claude Sonnet 4.5.
He described what he wished. Claude wrote the code. He examined it. Claude mounted the bugs. He deployed it.
Two weeks later, he had 200 paying clients.
This is able to have taken a workforce of 5 engineers six months to construct simply three years in the past.
Now it takes one individual with a transparent imaginative and prescient and a weekend.
The foundations modified in a single day — and most of the people haven’t seen but.
Right here’s what really issues now
You don’t must memorize each JavaScript methodology anymore.
You don’t must spend 4 years getting a pc science diploma.
You don’t must grind LeetCode issues till your mind doesn’t mind anymore.
What you want is easier — and tougher.
You might want to perceive how methods work.
You might want to know what’s attainable.
You might want to clarify your imaginative and prescient clearly sufficient that an AI can construct it.
The engineers successful proper now aren’t those who can write the cleanest code. They’re those who can assume via issues, perceive structure, and talk what they need.
They’re the conductors — not the orchestra.
Its creativeness science.
The instruments that made this attainable
Claude Code modified how I work greater than any software within the final decade. It’s a command-line interface that lets Claude write, debug, and deploy code instantly out of your terminal. You describe what you need. It builds it. You evaluation it. Ship it.
I’ve been stricken by a terminal awakening.
The second I requested it to wash up a few of my previous code, I knew this can be a new stage of AI. It blew me away. What I couldn’t get proper in 100 prompts, it mounted in a single immediate. What I couldn’t get proper in 100 prompts it mounted in a single immediate. Identical to that.
It’s so out of this world f*cking good. Its so f*cking stunning to see the way it thinks.
Google CLI introduced related magic to Google’s Gemini mannequin to principally do the identical thought — AI that writes production-ready code out of your terminal.
OpenAI Codex powers GitHub Copilot and a dozen different instruments. It’s the engine behind most AI coding assistants you’ve most likely used with out realizing it.
Droid took it additional. It doesn’t simply write code — it understands your whole code doesn’t It suggests architectural enhancements. It refactors legacy legacy. It principally turns into your whole engineering workforce.
These aren’t toys. They’re manufacturing instruments that actual firms use to ship actual merchandise.
The brand new breed of code editors
Writing code in VS Code began feeling outdated six months in the past.
Not as a result of VS Code is unhealthy. As a result of one thing higher emerged.
Cursor turned my every day driver virtually instantly. It’s not only a code editor with AI bolted on to it. It’s designed from the bottom up round AI help. You may spotlight code and ask it questions. You may describe options and watch them seem. You may debug by having a dialog.
It feels much less like writing code and extra like having a technical co-founder.
Zed is my new obsession. It’s free. It’s quick. It’s stunning. And it allows you to carry your personal API keys — which suggests you’re not locked into some subscription mannequin the place you’re paying per keystroke.
I run it with Claude Sonnet 4.5, and it’s the closest factor to magic I’ve skilled in software program growth.
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Anthropic
These editors don’t change considering. They change typing.
And that’s precisely the purpose.
The one-person startup is now a actuality
One thing fascinating is occurring in tech proper now.
Corporations that used to wish 10 engineers now makes use of one engineer.
Merchandise that took months to construct now take days.
MVPs that price $50K to develop now price $0 and a weekend.
I’m watching solo founders construct and ship merchandise that appear like they got here from well-funded startups. Stunning interfaces. Complicated backend logic. Cost processing. Consumer authentication. E-mail notifications. The works.
One individual. One imaginative and prescient. One mind.
The bottleneck isn’t technical capacity anymore. It’s creativeness.
Are you able to image what you wish to construct?
Are you able to describe it clearly?
Are you able to assume via edge circumstances and person flows?
If sure, you’ll be able to construct it.
The hole between thought and execution collapsed.
Why understanding fundamentals nonetheless issues
Right here’s the place individuals get confused.
AI didn’t make coding data out of date. AI It made it extra precious.
The builders who perceive how databases work, how APIs join, how authentication flows, how servers scale — they’re those utilizing AI most successfully.
They know what to ask for. They know when the AI is working. They know tips on how to information it towards higher options.
Those who skip studying fundamentals battle. They’ll’t consider the code AI generates. They’ll’t debug when issues break. They’ll’t architect methods that scale.
You don’t must memorize syntax anymore.
However you completely want to grasp how software program works.
Although I hate the truth that I needed to spend hours and hours and days and sleepless nights debugging code on Stack Overflow. That I nonetheless went via that to grasp precisely how code works.
You don’t must know tips on how to combine concrete to design a constructing. However you higher perceive load-bearing partitions, basis necessities, and structural integrity.
AI is the concrete mixer. You’re nonetheless the architect.
The optimist’s view
I’ve by no means been extra enthusiastic about expertise.
Not as a result of AI is spectacular — although it’s.
As a result of it’s democratizing creation in a manner nothing else has.
The child in rural India with a laptop computer and web can now construct merchandise that compete with Silicon Valley startups.
The designer who at all times had product concepts however couldn’t code can now ship them.
The entrepreneur with area experience in some area of interest trade can construct customized software program with out hiring a dev workforce.
The barrier to entry collapsed.
And meaning the perfect concepts win — no matter who has them or the place they arrive from.
That is stunning.
My present setup
I spend most of my time in Zed today.
Claude Sonnet 4.5 handles the heavy lifting. I describe options in plain English. It writes the code. I evaluation it. Make changes. Ship it.
My workflow seems to be nothing prefer it did two years in the past.
I’m not Stack Overflow-ing syntax errors. I’m not debugging for hours. I’m not combating with bundle managers.
I’m fascinated about person expertise. About enterprise logic. About what issues want fixing and tips on how to resolve them elegantly.
The grunt work disappeared.
What’s left is the inventive work — the half that truly issues.
The long run is already right here
5 years from now, we’ll look again at 2025 because the turning level.
The second when software program growth stopped being about typing and began being about considering.
The second while you didn’t want a pc science diploma to construct world-class merchandise.
The second when the perfect thought gained — not the most important engineering workforce.
We’re dwelling via it proper now.
I really feel so extremely fortunate to be alive throughout this awakening of a brand new period. That is a lot larger than something we’ve ever seen earlier than.
The automotive. Folks can drives from A to B.
The pc. Folks can kind A to B.
The web. Folks can talk information from A to B.
AI means to me, should you can think about it, you’ll be able to create it.
Each morning, I get up and take into consideration what I can construct. Not what I understand how to code.
Whereas standing within the bathe, it seems like concepts roll over me like drops of water. I can not assist considering of the tune A Million Desires by Benj Pasek and Justin Paul carried out by P!nk:
I shut my eyes and I can see A world that’s ready up for me That I name my very own By means of the darkish, via the door By means of the place nobody’s been earlier than However it seems like residence
They’ll say, they will say all of it sounds loopy They’ll say, they will say I’ve misplaced my thoughts I don’t care, I don’t care, so name me loopy We will dwell in a world that we design
As a result of creativeness is the one bottleneck left.
The brand new definition of an awesome engineer
The engineers I like most at this time aren’t those writing probably the most code.
They’re those fixing the toughest issues.
They’re those considering via edge circumstances earlier than writing a line.
They’re those architecting methods that scale.
They’re those asking the correct questions.
Code is simply the implementation element.
AI handles implementation particulars very well.
What AI can’t do — no less than not but — is dream up what ought to exist.
That’s nonetheless on us.
And that’s precisely the way it ought to be.
So what do you do now?
For those who’ve been laying aside studying to code as a result of it appeared too onerous — begin at this time.
Not by memorizing syntax. By understanding methods.
Find out how databases work. Find out how APIs join issues. Find out how authentication retains customers protected. Find out how servers deal with visitors.
Then seize Cursor or Zed. Fireplace up Claude. And begin constructing.
Describe what you need. Let AI write it. Study from what it creates.
One of the best ways to be taught coding in 2025 isn’t via tutorials.
It’s via constructing with AI as your pair programmer.
We’re simply getting began
The instruments I described? They’ll be out of date in six months.
One thing higher is coming. One thing quicker. One thing smarter.
This isn’t the height. That is the start.
And that’s what makes it so thrilling.
We’re watching a elementary shift in how people create software program.
From typing to considering.
From implementation to creativeness.
From code monkeys to architects.
The most effective engineers aren’t writing code anymore.
They’re dreaming larger than ever earlier than — and AI helps them construct these goals.
Few issues on this world are extra depressing than meals poisoning. You exit to eat some scrumptious meals, or cook dinner at house. You’re completely happy, full, after which… every little thing goes south. Typically actually.
However hark! This torturous destiny might quickly be vanquished, because of some scientists on the College of Maryland who would possibly simply have created a vaccine that protects in opposition to Salmonella micro organism, one of the crucial widespread sources of foodborne sickness and doubtlessly life-threatening infections.
To date, the researchers have examined out their vaccine in human volunteers in a Section I scientific trial. Not solely did the vaccine look like protected and well-tolerated, it additionally appeared to create a strong immune response to the goal micro organism.
“These findings present a robust basis for future research,” research co-author Myron Levine, professor emeritus at UM’s College of Drugs, mentioned in a assertion. The outcomes had been printed Wednesday in Nature Drugs.
A pervasive menace
When folks get Salmonella, it’s usually attributable to a particular species of the micro organism, referred to as Salmonella enterica. However there are lots of subtypes, or serovars, of Salmonella inside this species. One infamous subtype (Salmonella Typhi) causes typhoid fever—an excessive type of meals poisoning that causes a excessive fever (therefore the title), a cough, rash, nausea, weak spot, and diarrhea, and which might final so long as a month and require particular antibiotics to deal with. Different, non-typhoidal subtypes trigger extra typical meals poisoning signs, together with vomiting, diarrhea, and abdomen ache.
The most typical sources of Salmonella are undercooked meat, poultry, eggs, or unwashed fruit and greens, in addition to by way of contact with contaminated folks. Typhoid spreads equally, and thru water contaminated with the urine or feces of an contaminated individual.
Greater than 1,000,000 Individuals are sickened by Salmonella yearly, and tens of 1000’s are hospitalized consequently. Most Salmonella infections don’t final lengthy—only a few days or every week—however they’ll generally result in extreme, even deadly sickness. These extreme circumstances are inclined to occur when the micro organism spreads past the digestive tract and invades different elements of the physique. They’re additionally extra more likely to happen in kids underneath 5, the aged, or folks with weakened immune techniques.
The workforce’s vaccine targets three totally different subtypes of Salmonella: the micro organism that trigger typhoid fever and two different subtypes which can be a typical supply of invasive infections in younger kids, particularly in much less developed areas of the world.
The workforce’s vaccine is a conjugate vaccine, which means it combines polysaccharide antigens (sugar molecules, to place it plainly) from the outer coating of those micro organism with a service protein that enhances the immune system’s skill to acknowledge the micro organism. The vaccine is presently code-named the trivalent Salmonella conjugate vaccine, or TSCV.
Early promise
The researchers examined TSCV in a small, managed trial involving 22 wholesome grownup volunteers from the U.S. Two teams obtained various doses of the vaccine, whereas the third was given a placebo.
Section I trials are primarily meant to vet a drug or vaccine’s security, and TSCV handed with flying colours. The vaccine was discovered to be protected, with the commonest opposed occasion being ache on the injection web site. Importantly, the researchers additionally detected a immune response to the three subtypes in all of the vaccinated volunteers, together with the manufacturing of antibodies, suggesting that TSCV works as supposed.
Importantly, the findings are based mostly on a small pattern measurement. There may be nonetheless loads extra work wanted to affirm the vaccine’s broader security and effectiveness. But when it retains hitting its milestones, then TSCV may very well be a boon to the world, and particularly for the folks most susceptible to extreme Salmonella infections.
“These outcomes are extremely encouraging,” lead researcher Wilbur Chen, a professor of medication at UM, mentioned in a press release. “They present that TSCV has the potential to guard kids in areas the place each typhoid and Salmonella are endemic and lethal.”
TSCV’s potential advantages may lengthen even past that. The subtypes it targets don’t simply trigger invasive infections, the researchers observe, they’re additionally a number of the commonest strains of Salmonella that trigger meals poisoning within the U.S.
Nonetheless, it’s at all times necessary to observe good meals security and correct hygiene it doesn’t matter what (wash your palms and don’t undercook your rooster, folks), nevertheless it’d be unimaginable to know that sooner or later, when you find yourself chowing down, Salmonella may very well be one much less factor to fret about.
