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Microsoft disrupts ONNX phishing-as-a-service infrastructure

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Microsoft disrupts ONNX phishing-as-a-service infrastructure

Microsoft and the Justice Department have jointly seized more than 240 domains used by customers of ONNX, a phishing-as-a-service platform that has targeted businesses and individuals across America and globally since at least 2017.

According to records, ONNX, previously referred to as Caffeine, emerged as the top Adversary in the Middle (AitM) phishing service in terms of the volume of phishing messages during the first half of 2024. Each month, Microsoft 365 faces an onslaught of tens of millions of phishing emails targeting its customers, as well as those of various other tech companies.

Microsoft reports that “do-it-yourself” kits account for a substantial portion, estimated in the tens to hundreds of millions, of phishing messages it detects each month, with the fraudulent ONNX operation ranking as one of the top five providers during the first half of 2024.

The fraudulent ONNX operation reportedly distributed sophisticated phishing kits, targeting numerous organizations across various sectors, including tech giants like Google, Dropbox, Rackspace, and Microsoft.

The ONNX platform advertised and acquired phishing kits available on Telegram via various subscription tiers (Basic, Professional, and Enterprise) priced between $150 and $550 per month.

The cyberattacks, enabled by Telegram bots and featuring integrated mechanisms to circumvent two-factor authentication, targeted financial institution employees, credit union representatives, and private investment professionals using QR code-based phishing tactics.

The emails contained PDF attachments featuring malicious QR codes that masqueraded as authentic Microsoft 365 login pages, attempting to deceive recipients into providing their login credentials?

“Threat actors exploit vulnerabilities in victims’ personal mobile devices by tricking them into scanning QR codes on their own phones, which may also be used for business purposes through Bring Your Own Device (BYOD) programs.” The Financial Industry Regulatory Authority (FINRA) also cautioned that. As a result, attacks of this nature are notoriously challenging for standard endpoint detection tools.

ONNX QR code phishing email sample

Cybercriminals leveraging Open Neural Network Exchange (ONNX) have demonstrated remarkable efficacy in completing attacks, as phishing kits enable them to circumvent two-factor authentication (2FA) by intercepting and manipulating 2FA requests.

They employ bulletproof internet hosting companies, which deliberately slow down the takedown process for suspected phishing domains, as well as utilizing encrypted JavaScript code that self-decrypts during page load, incorporating an extra layer of obfuscation to evade detection by anti-phishing scanners.

“These unprecedented attacks pose a novel challenge for cybersecurity providers, rendering them an imperceptible threat to traditional security and scanning tools,” said Steven Masada, Assistant General Counsel at Microsoft’s Digital Crimes Unit.

ONNX operations unexpectedly ceased in June following the disclosure of its owner’s identity, Abanoub Nady, by Darkish Atlas security researchers under his online alias MRxC0DER.

Through a recent court order unsealed in the Eastern District of Virginia, this motion redirects malicious technical infrastructure to Microsoft, effectively severing access for threat actors, including the fraudulent ONNX operation and its cybercrime clients, thereby completely halting their use of these domains in future phishing attacks.

Our goal in every situation is to protect our clients by cutting off malicious actors from the resources they need to operate, thereby significantly increasing the barriers to entry and the cost of conducting illicit activities.

We are pleased to have Co-Plaintiff LF (Linux Foundation) Tasks, LLC, the trademark owner and proprietor of the registered ‘ONNX’ mark and logo.

In October, Microsoft collaborated with the Department of Justice to seize more than 100 domains used in spear-phishing attacks against US interests. Authorities’ staff and Russian non-profit organizations.

In late December, Microsoft’s Digital Crimes Unit detected a massive scheme, code-named Storm-1152, which created over 750 million fake email addresses and generated tens of millions of dollars by selling these compromised credentials to other cybercriminals.

Can Artificial Intelligence Help You Foster More Meaningful Business Connections?

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Building lasting partnerships requires more than just a handshake agreement; AI’s increasing role is now crucial in fostering stronger connections.

In a thought-provoking article published by Forbes last year, contributor Kate Vitasek shed light on various strategies for. We aim to highlight some key benefits of leveraging AI to foster a more effective collaboration. Maintain studying to study extra.

Artificial intelligence can be a valuable tool for fostering strong professional relationships within an organization. Among the primary causes of this issue.

Artificial Intelligence Can Revolutionise Your Partnership Dynamics

In today’s fast-paced digital era, challenges have transformed. Expertise plays a significant role in shaping our interactions, communication, and understanding of relationships with others. By integrating cutting-edge technology into your partnership, you can seamlessly bridge gaps and unlock unparalleled collaboration – the difference between a strong relationship and an exceptional one lies in the strategic application of innovative tools. 

Let’s leverage your expertise to fortify corporate connections and propel them forward. You’ll discover ways to .

1. Clear Channels for Seamless Synergy

At the very core of a strong and resilient partnership lies effective communication. In today’s digital age, the era of solely relying on emails has come and gone. Today’s companies employ a diverse range of tools to ensure seamless and instant communication, guaranteeing that team members remain synchronized at all times.

Companies of all sizes rely heavily on platforms like Slack, Microsoft Teams, and Zoom. These instruments offer a comprehensive suite of features that go beyond simple messaging, including built-in file sharing, video conferencing capabilities, and robust challenge administration tools. Slack enables organizations to establish dedicated channels for each team member, thereby keeping all conversations and shared documents neatly organized and easily accessible throughout the platform.

Effective real-time communication enables seamless collaboration, mitigates misinterpretations, and fosters swift decision-making, thereby ensuring that all stakeholders remain aligned and invested in the partnership’s success.

Artificial intelligence can greatly aid in fostering stronger bonds between colleagues by streamlining collaborative processes and enhancing communication channels. One study found that users of AI companions reportedly develop stronger relationship skills when interacting with real women. Vitasek has discovered that artificial intelligence is capable of learning from written conversations between individuals, enabling it to provide insightful recommendations for improving their dialogue flow.

2. Ensuring Transparency Through Secure Digital Practices?

Trust is the foundation upon which any successful business partnership is built, and transparency plays a vital role in establishing and maintaining that trust. The most effective ways to promote transparency are likely through robust digital verification processes, such as.

KYC (Know Your Customer) software programs assist organisations verify the identities of their business partners, ensuring dealings are conducted with legitimate entities and reducing the risk of fraud or non-compliance. By introducing a robust digital verification process, organizations significantly diminish the likelihood of fraudulent activities and instill a sense of trust within their collaborative networks. In sectors such as finance and healthcare, transparency at this level is not merely the gold standard – it’s a mandatory compliance necessity.

3. Effective Interorganizational Synergies via Digital Knowledge Exchange Hubs

Effective partnerships flourish through seamless communication and collaboration, with cloud-based platforms making it more accessible than ever before. The advent of collaborative tools like Google Workspace and Microsoft 365 has revolutionized document editing, allowing teams from disparate organizations to seamlessly co-edit paperwork in real-time, streamlining workflows as if they were physically located together under one roof.

When a advertising company partners with a software development agency, they can seamlessly collaborate by sharing roadmap documentation and creative assets via secure cloud storage, thereby streamlining communication and reducing the risk of misaligned expectations. These platforms seamlessly integrate with project management tools like Trello or Asana, providing teams with a clear and transparent view of task timelines and assignments.

4. Sustainable Decision-Making through Automated Processes: A Greener Future Ahead

Time truly is money, particularly evident in strategic business collaborations where every moment counts. Redundant handbook processes can indeed slow down decision-making, causing frustrating delays. Enter automation. Companies can leverage tools like Zapier and Integromat to automate mundane tasks, thereby freeing teams to focus on high-impact initiatives that drive value to the organization.

Organizations can leverage automation to deliver timely updates to team members whenever a project milestone is achieved, streamlining communication and ensuring everyone stays informed. This simplification eliminates the need for manual updates, guaranteeing that all users are always informed of every event. 

Automating financial processes, such as invoicing and fee tracking, significantly reduces the risk of delays or errors that can strain relationships.

5. Constructing Belief with Verified Identities

As online fraud becomes increasingly prevalent, businesses must verify the identities of their partners to establish trust. Software programs like KYC enable companies to efficiently conduct comprehensive due diligence, ensuring collaboration with genuine entities by verifying identities and monitoring for suspicious activity.

Utilizing KYC software programs ensures the accurate verification of customers’ identities and their companions, thereby guaranteeing regulatory compliance and robust defence against money laundering threats. 

What happens when AI and machine learning come together to revolutionize human connections?

Artificial intelligence (AI) and machine learning are no longer futuristic concepts; in fact, they’re already reshaping the way businesses interact with clients. Applied sciences enable large-scale data analysis, providing valuable insights that enable corporations to craft tailored offers and options for their partners.

By leveraging AI-powered CRM systems, you can gain insights into associates’ habits and preferences, enabling your organization to personalize communication and offerings. This personalized approach fosters a deep sense of appreciation and comprehension among your companions, ultimately reinforcing the bond between you. 

The AI-powered platform identifies opportunities for collaborative innovation by integrating market insights with the strengths of partner companies, providing a data-driven framework for strategic partnerships.

As a culmination of our discussions, it becomes clear that expertise serves as the foundation for fostering stronger partnerships. By leveraging their specialized knowledge, professionals can establish trust and credibility with clients, ultimately driving more effective collaborations and sustainable growth.

Expertise serves as the vital conduit connecting businesses, fostering robust and reliable collaborations by bridging gaps and facilitating seamless communication. By harnessing the power of digital platforms, secure verification methods, collaborative tools, automation, and artificial intelligence, organizations can build and sustain robust partnerships that not only withstand challenges but also dynamically adapt to changing circumstances.

As businesses evolve into a predominantly digital landscape, adopting these technologies becomes increasingly imperative. It is a strategic imperative for companies seeking to thrive, develop, and forge lasting relationships.

Superior programming with Java generics

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  • Checklist<? tremendous Animal> (decrease sure) can add Animal and its subtypes.
  • Checklist<? extends Animal> (higher sure) can’t add Animal or any subtype (besides null).

Studying bounded lists

When exploring lower- and upper-bound lists, it’s essential to remember that

  • Checklist<? tremendous Animal>Gadgets recovered from a lower-tiered listing remain shrouded in mystery. Object. Casting is essential for this material’s effective utilisation as Animal.
  • Checklist<? extends Animal>Gadgets recovered are conclusively identified as being no fewer than AnimalNo explicit casting is required when dealing with them as Animal.

The list of integers was bound within a certain range.

To enhance your creative expression? Animal Processing animals from an inventory involves two primary methodologies.

  void addAnimal(Checklist<? tremendous Animal> animals, Animal animal) {     animals.add(animal); // That is legitimate. } Animal getAnimal(Checklist<? extends Animal> animals, int index) {     return animals.get(index); // No casting wanted, returns Animal kind. }  

On this setup:

  • addAnimal can settle for a Checklist<Animal>, Checklist<Object>and countless others, ultimately ensuring that each will uphold an Animal.
  • getAnimal can work with Checklist<Animal>, Checklist<Canine>Safely returning from the chaos of the city streets, a weary traveler strolls along the quiet banks of the river, seeking solace in nature’s gentle lullaby. Animal Without risking a catastrophic failure of the entire system ClassCastException.

Java’s generic system allows developers to create reusable code that can work with any type of data. By employing type parameters, you can write methods and classes that are independent of a specific class type, yet still maintain type safety at compile-time. This is achieved through the use of the keyword `type` followed by a parameter name in angle brackets, as seen in the following example: extends and tremendous Security protocols for educational data management?

Conclusion

Mastering the art of applying generics effectively enables developers to craft robust building blocks and well-designed Java application programming interfaces (APIs). What key elements must we focus on to summarize effectively?

Bounded kind parameters

Discovering that bounded kind parameters limit the scope of generics to specific subclasses or interfaces significantly enhances kind security and performance by restricting allowable varieties.

Wildcards

Use wildcards (? extends and ? tremendousTo enable versatile strategies to accommodate parameters of diverse types, encompassing adaptability in handling co-variance and contra-variance. Wildcards in generics enable tactics to operate effectively on assemblies of diverse types. The variability in methodology parameters demands a precise and effective solution; this function is uniquely positioned to address that need.

Kind erasure

This advanced functionality ensures seamless backwards compatibility by dynamically removing type information at runtime, thereby preserving generic details even after compilation.

Generic strategies and sort inference

By employing kind inference, your code becomes more concise, allowing compilers to deduce types from surrounding context since Java 7, thereby simplifying your programming.

The type-safe nature of Java generics allows for the declaration of upper and lower bounds for a given class.

Upper bound: This is used to specify the most general type that can be passed as an argument to a method or constructor. It is defined by using the <? extends T> syntax.

Lower bound: This is used to specify the least specific type that can be accepted by a method or constructor. It is defined by using the <? super T> syntax.

Here’s a simple example of how you can use upper and lower bounds in your generic classes:

“`java
public class BoundedTypesDemo {
public static void main(String[] args) {
// Using Upper Bound
Class<? extends Number> numberClass = Integer.class;
System.out.println(“Upper Bound Example: ” + numberClass);

// Using Lower Bound
Class<? super String> stringClasses = Object.class;
System.out.println(“Lower Bound Example: ” + stringClasses);
}
}
“`

In this code, we are using the upper bound to specify that we only want classes that extend Number and the lower bound to specify that we only want classes that are superclass of String.

Bounds and constraints are used to implement various scenarios in problem-solving. For instance, <T extends Animal & Walker>). Meeting stringent parameters ensures comprehensive and robust security.

Decrease bounds

These assistive write operations enable the addition of, for example, Animal and its subtypes. Retrieves gadgets acknowledged as ObjectThe complexity of casting requirements necessitates careful consideration due to the inherent limitations of decreased bounds.

Higher bounds

These facilitators ensure that learning operations consistently retrieve gadgets that meet a minimum threshold (in this case). AnimalRemoving the requirement for casting. Preserving the delicate balance between inclusivity and constraint, the text carefully articulates the importance of adhering to specified limits while ensuring the integrity of the process or outcome.

Robots can learn from machine goals through a process called inverse reinforcement learning (IRL).

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While the primary challenge for robotics engineers remains generalization – the ability to design machines capable of adapting to diverse environments and scenarios. Because of the advancements in the 1970s, the field has evolved from crafting nuanced algorithms to harnessing the power of deep learning, enabling robots to learn instantly by observing human behavior. Despite progress being made, a critical hurdle remains: ensuring the quality of knowledge. To truly elevate, robots need to confront novel scenarios that challenge the limits of their expertise, operating at the cusp of their proficiency. Historically, this process has relied on human oversight, as operators carefully supervise robots to hone their skills. As robotics technology advances and robots become increasingly sophisticated, a significant challenge emerges: the requirement for top-tier training data grows exponentially, yet human capacity to generate it lags behind.

Researchers at MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) have engineered a groundbreaking approach to robotic training, poised to significantly accelerate the introduction of versatile, intelligent machines into real-world settings? The newly developed “system” leverages cutting-edge advancements in generative artificial intelligence and physics simulation technology to generate a multitude of realistic digital training environments, thereby enabling robots to achieve exceptional proficiency in complex tasks without requiring any prior real-world experience.

By integrating physics simulations with generative AI models, LucidSim tackles a long-standing obstacle in robotics: effectively translating skills learned in virtual environments to real-world applications. Researchers at MIT’s Computer Science and Artificial Intelligence Laboratory have long grappled with the ‘sim-to-real gap’, a fundamental issue in robotics education where simulated training environments starkly contrast with the complex, unpredictable real world. “Prior methods often employed depth sensors, a straightforward solution that neglected crucial real-world intricacies, thereby limiting their effectiveness.”

The multipronged system constitutes a diverse amalgamation of interrelated applied sciences. LucidSim leverages vast linguistic patterns to produce diverse, formatted descriptions of settings. Artistic depictions of these descriptions are subsequently recreated using innovative generative models. To accurately replicate real-world physics in these images, a sophisticated physics simulator is employed to inform the technological process.

The spark that ignited the creation of LucidSim unexpectedly arose during a conversation outside Beantown Taqueria in Cambridge, Massachusetts. “Alan Yu, an undergraduate student in electrical engineering and computer science at MIT and co-lead author of LucidSim, notes that the team initially aimed to demonstrate how robots equipped with vision could utilize human suggestions for improvement.” As we strolled along the road, our conversation continued until we paused outside the taqueria for a leisurely 30 minutes. The restaurant where we had our second date was that very location.

To refine their understanding, the team produced high-quality images by deriving detailed depth maps providing geometric data and semantic masks identifying distinct image elements from the simulated environment. As they soon discovered, however, a keen eye for detail was necessary to ensure the model produced unique images by varying the prompt and composition. To address this need, they developed a system that generates a substantial number of textual content prompts for utilization by ChatGPT.

Despite this, the method yielded a solitary image only. Scientists developed “Goals in Motion,” a novel approach that enables them to create brief, coherent movies by hacking together picture magic. This innovative system computes the actions of every pixel between frames, warping a single generated image into a short, multi-frame video that functions as a unique experience for robots. By analyzing the three-dimensional geometry of the scene and incorporating adjustments from the robotic’s unique vantage point, Goals In Movement achieves its innovative approach.

“According to Yu, our approach outshines area randomization, a technique introduced in 2017 that injects arbitrary colours and patterns into environmental contexts. While this method yields extensive data, its reliance on random elements hampers realistic portrayals.” LucidSim effectively tackles a range of variety and realism concerns. Despite never having seen the actual world during training, robots are now capable of recognizing and overcoming obstacles in real-world settings.

The team is thrilled about the prospect of applying LucidSim beyond its core applications in quadruped locomotion and parkour, their primary focus area. In one instance, cell manipulation involves placing a cell robot that handles objects in an open environment, where shading plays a crucial role. According to Yang, “Currently, these robots are still learning from real-world demonstrations.” While collecting data for robotic teleoperation is relatively simple, the challenge lies in scaling up to thousands of scenarios, as humans must physically set each scene. By digitizing knowledge collection, we aim to create a more streamlined and scalable process.

The workforce pitted LucidSim against a rival, where a seasoned trainer showcased the robot’s capacity to learn from experience? The results were striking: Robots trained by professionals faltered, achieving a paltry 15 percent success rate – and even doubling the amount of professional training data made little difference. When robots autonomously gathered their own coaching expertise through LucidSim, the narrative took a dramatic turn. By simply duplicating the dataset’s dimensions, success rates surged to an impressive 88 percent. As Yang notes, “By continuously updating our robotic systems with new knowledge, their efficiency is naturally enhanced – a scholar can thus evolve into a proficient expert.”

“In the quest to seamlessly integrate simulation and reality in robotics, one major hurdle lies in achieving visually realistic simulations,” notes Dr. Shuran Mook, an assistant professor of electrical engineering at Stanford University, who was not involved in the research. The LucidSim framework provides a sleek solution by harnessing generative models to generate numerous, highly realistic visual representations for any simulation. This innovation could significantly accelerate the transition from digitally trained robots to real-world applications.

From the streets of Cambridge to the cutting-edge fringes of robotics research, LucidSim is forging a path towards a revolutionary era of intelligent, adaptive machines – capable of learning to navigate our complex world without ever leaving the digital realm?

Yu and Yang collaborated on the paper with three other researchers: Ran Choi, a mechanical engineering postdoctoral researcher at MIT; Yajun Ravindranath, an undergraduate student majoring in Electrical Engineering and Computer Science (EECS) at MIT; John Leonard, a professor of mechanical engineering and aeronautics at MIT. A leading Collins Professor of Mechanical and Ocean Engineering at MIT’s Department of Mechanical Engineering, alongside Phillip Isola, a faculty member affiliated with MIT’s Electrical Engineering and Computer Science department. The researchers’ work received funding from a combination of sources, including a Packard Fellowship, a Sloan Analysis Fellowship, the Office of Naval Research, Singapore’s Defence Science and Technology Agency, Amazon, MIT Lincoln Laboratory, and the National Science Foundation’s Institute for Artificial Intelligence and Basic Interactions. Researchers presented their findings on the Convention on Robotic Learning (CoRL) in early November.

City of Aeronautical Regulation and Safety Authority files suit against DJI – a pioneering move to address the lack of standardized drone safety regulations in the industry.

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City Aeronautics claims DJI’s high-end drones infringe on their patent for emergency landing technology.

What’s Happening in the World of Drones

EVTOL manufacturer Joby Aviation, an Israeli company, has filed a lawsuit against Chinese drone giant DJI, alleging that the latter infringed on its intellectual property by copying technology for safe emergency landing procedures in case of a rotor failure in multi-rotor aircraft.

A patent infringement lawsuit has been filed in the United States this month. United States District Court for the Western District of Texas The lawsuit claims that certain high-end DJI drones sold in the United States failed to meet advertised performance standards and concealed potential safety issues. The DJI Mavic series – including the Mavic, Mavic 300, Mavic 350, and FlyCart 3 – allegedly violate City Aeronautics’ patent for Three-Propeller Emergency Touchdown capabilities.

“City Aeronautics advocates for a robust global patent framework that drives innovation and investment. The company recognizes the importance of mental property laws in facilitating the development and licensing of groundbreaking research across various technical fields, ultimately benefiting individuals, industries, and society at large,” CEO Eran Ron stated in an email statement. “We belief the U.S. The judicial system must uphold its vital and fundamental responsibility in handling our case.

City Aeronautics has accused DJI of directly infringing its patent for “management systems featuring redundant architectures designed to provide continuous yet degraded control during critical flight operations, even in the event of a catastrophic failure of the entire system.”

While DJI authorizes its customers to also violate patent rights by permitting them access to “materials components of infringing methodologies,” which are neither staple articles nor capable of substantial non-infringing utilization?

The complaint further asserts that City Aeronautics has been harmed by DJI’s conduct and will likely continue to incur damages, the extent of which has yet to be determined, exceeding a reasonable royalty.

Joseph Zito, attorney for City Aeronautics, revealed on Monday, October 18, that DJI had yet to respond to the pending lawsuit. Patent infringement disputes of this nature typically resolve without proceeding to trial, as the defendant company often agrees to settle by paying a licensing fee to the corporation filing the lawsuit.

If a swimsuit is resolved through this process, it may take anywhere from four to eight months. If the swimsuit design goes to court, the trial process could potentially drag on for up to two or three years.

Regardless of the situation, Zito doesn’t expect City Aeronautics to aggressively pursue DJI’s US sales. The leveraging of TPEL expertise has yielded substantial returns. “It’s crucial that they’re allowed to learn from their experiences,” he said.

For two decades, City Aeronautics has striven to harness cutting-edge technology and develop a portfolio of innovative products that can drive a new era of urban air mobility. Its flagship offering is the CityHawk, a cutting-edge, compact electric vertical takeoff and landing (EVTOL) vehicle boasting a unique, wingless design and proprietary fully enclosed rotor technology. According to City Aeronautics’ website, founder and current board member Rafael Yoeli conceptualized the CityHawk as a “city-scale aircraft that is protected, eco-friendly, and accessible to all” – matching the corporation’s stated mission.

Yoeli crafted the initial CityHawk prototype within his Tel Aviv condominium, necessitating removal via the window due to its inability to fit through the entrance door. To mitigate the risks associated with operating an aircraft with exposed rotors in an urban environment, he developed the CityHawk as a primary manned automobile that leverages ducted-fan technology.

Since 2006, City Aeronautics has been developing and refining its prototype aerial vehicles, having successfully conducted over 300 profitable test flights to date. The corporation has committed to powering its entire product line with 100% hydrogen energy, making it the most eco-friendly and environmentally sustainable air fleet globally.

A DJI representative declined to comment on the matter, instead offering a statement that said: “We respect intellectual property rights and remain committed to driving innovation.”

Learn extra:

 

While automation and robotics are often used interchangeably, there is a distinct difference between the two: automation focuses solely on streamlining processes through machines or computers, whereas robotics combines automation with physical movement.

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While artificial intelligence and robotics are distinct concepts, they are intricately connected. Each aspect plays a vital role in the daily operations of various industries, ultimately contributing to making processes more efficient and optimizing internal procedures.

Paris-based ChapsVision has acquired Sinequa, a leading provider of cognitive search and unified information access solutions, in a deal worth €85 million. The acquisition aims to further bolster ChapsVision’s artificial intelligence (AI) capabilities, enabling customers to unlock the value hidden within their vast amounts of unstructured data.

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A French startup specialising in AI-enhanced knowledge processing solutions has announced the acquisition of a Paris-based startup that leverages AI-powered enterprise search and Retrieval-Augmented Technology.

“,” Olivier Dellenbach, Founding CEO at ChapsVision, notes. 

The company’s transfer received a significant boost from a third round of funding totalling €85 million, led by a consortium of prominent investors including Tikehau Capital, Qualium Investissement, Bpifrance, GENEO Capital, and Jolt Capital. The Twin initiative reinforces Chap’s Vision’s international progress aspirations, thereby amplifying its technological prowess.

As of 2019, ChapVision stands out for its cutting-edge software suite, enabling corporations and government entities to derive valuable insights and inform strategic decisions by harnessing diverse data sets effectively. As its flagship platform, ArgonOS facilitates digital transformation across industries aligned with manufacturing, life sciences, aerospace, and defense. The acquisition of Sinequa further enhances ArgonOS by combining its expertise in cognitive search with Sinequa’s renowned capabilities in AI-driven natural language processing, thereby enriching the platform’s overall functionality.

Alexandre Bilger, Chief Architect Officer at Sinequa, noted that

ChapsVision employs nearly a thousand individuals worldwide, catering to a global clientele of more than one thousand customers. Will the corporation’s strategic efforts result in a revenue of over €200 million by 2024?

You’ve decided to ditch your iPad for a ReMarkable Paper Professional – great choice! Here are some easy methods to help you transition smoothly.

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Key Takeaways

  • Transferring data between your iPad and reMarkable device is achievable via either a wired USB-C link or by utilizing the dedicated reMarkable application.
  • Exporting Apple Notes as PDF files and combining them into a single document is one way to transfer your notes to the ReMarkable device.
  • Regardless of the effort required to transfer data, reMarkable offers a focused, distraction-free note-taking experience.



While the iPad excels as a portable, visually engaging platform for browsing the web and watching videos, its true value lies in its ability to facilitate more than just passive consumption when used in conjunction with a hands-on approach to writing. This is where you can find a device similar to the or .

If you’ve decided to transition from using an iPad to a reMarkable, you’ll be treated to a seamless experience as long as all your books, data, and notes accompany you in this move. While you may struggle to liberate your apps, the reMarkable Paper Professional is well-equipped to handle any PDF, ePub, or file you’re willing to put in the effort to master. How do you make the switch?

ReMarkable’s new E Ink tablet is a pricey indulgence, yet it delivers an undeniably spectacular experience for those seeking a premium distraction-free environment for studying and writing purposes.

Data transmission occurs seamlessly when you connect your device to a compatible computer via USB-C cable.

Information can be transferred to your reMarkable through two primary methods: connecting it via a USB-C cable to a computer or using the device’s mobile and desktop applications, which provide seamless integration with its cellular capabilities. To establish a wired internet connection on your iPad, simply plug in a USB-C cable and navigate to your device’s built-in web browser.


  1. Easily connect your reMarkable Paper Professional to your iPad.
  2. To access your notes on your ReMarkable tablet, navigate to “My Recordsdata” by tapping on it from the home screen. Then, look for the top-left corner of the interface and tap on it to reveal the menu.
  3. Tap on the button located at the back of the sidebar.
  4. Faucet on .
  5. The settings have been toggled to on.
  6. Open the iPad’s Safari browser and navigate to a specific webpage by entering its URL (or address) in the address bar and pressing “Go”.
  7. Check the contents of your Remarkable. Tap the “Select Files” option to access the File app on your iPad.
  8. Select the records you wish to import and then tap Open.

To utilize the reMarkable cellular app on your iPad, it is advisable that you verify you have already synchronized your account with the application beforehand. Then:

  1. Regardless of which file you want to switch to, that’s easily done from within the Files app.
  2. The sun’s rays dance upon the waving grasses as a lone arrow pierces the sky, its trajectory a testament to the forces that shape our world.
  3. Swipe through the apps presented in the share sheet until you come across the desired option.
  4. Tap the faucet icon to activate the file switch.


You’re going to have to consolidate your notes and merge them directly into a unified document.

Unfortunately, Apple does not offer a straightforward method for bulk exporting notes from its Notes app, leaving users with limited options. While the corporation may not officially acknowledge it, it’s undeniable that their actions seem deliberately calculated to achieve a specific outcome. By designating a Notes app as the central repository for your thoughts, Apple aims to create a barrier to entry should you decide to switch ecosystems.

You can export each document separately as a PDF, taking advantage of the reMarkable Paper Professional’s compatibility with PDFs, which provides a seamless workaround for Apple’s restrictions on exporting multiple files at once. Before commencing your task, make sure you’ve identified the notes you intend to modify by tagging them with a hashtag, thereby facilitating easy retrieval.

  1. in your iPad.
  2. you wish to export.
  3. within the high menu bar.
  4. Share the content downwards until you reach the desired point.
  5. Markup completed? Achievement unlocked! Then, save changes with confidence.
  6. Until you’ve repeated all of your notes.


You’ll likely want to combine the exported PDFs into a single document, or “pocket book”, which can then be imported into your reMarkable for seamless reading and organization.

  1. Open the .
  2. Faucet on .
  3. you wish to mix.
  4. Faucet on
  5. Then faucet on .
  6. Convert the PDF to your reMarkable using one of the above methods.

Once uploaded to your reMarkable device, you can effortlessly modify, highlight, and append new pages to your PDFs, ePubs, and transformed notes, tailoring the content to suit your needs. Here are the organized and simplified notes:

Your iPad is an impressive device with many capabilities, but perhaps it excels in being versatile rather than exceptional in any one area?

A hand holding a reMarkable Paper Pro next to an iPad Air in a keyboard case.

It is undeniable that the process of transferring content from an iPad to a ReMarkable Paper Professional requires an inordinate amount of effort. With execution of tasks completed, one can then cultivate a sense of focused and concentrated expertise, unencumbered by distractions.


A color E Ink tablet with a stylus on a white background.

While familiarizing yourself with the reMarkable, make it a point to explore its capabilities beyond note-taking as well.

Shazam’s magic reaches new heights as the app surpasses 100 billion music recognitions. Since its inception in 2002, Shazam has been revolutionizing the way we discover and interact with music by instantly identifying songs playing around us or streaming online. This milestone is a testament to the app’s enduring popularity and ability to stay ahead of the curve in an ever-evolving music landscape. With over $400 million in funding and 450 employees across offices worldwide, Shazam continues to lead the pack as one of the most successful music recognition platforms on the market.

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Since its launch, Shazam has officially exceeded over 100 billion music recognitions. To better contextualize the information being discussed:

  • There are approximately 7.9 billion people on Earth, which would equate to around 95 million songs being equal to one song per person.
  • A person seeking to identify a song with Shazam every second for 3,168 years to achieve a staggering 100 billion matches.
  • According to reports, this song has surpassed a staggering 44.8 million Shazam identifications for “Dance Monkey,” an astonishing 2,200 times more than the average identification count for high-profile hits like Shazam’s.
  • Benson Boone’s Shazam prediction for “Lovely Issues” broke records in 2023, becoming the first track released this year to reach 10 million recognitions, achieving this milestone in just 178 days. It would likely take more than 4,800 years at this tempo for the number to reach 100 billion?

“As Shazam hits this milestone, it’s clear that users’ enthusiasm isn’t just about recognizing old favorites, but also a desire to discover fresh sounds,” said Oliver Schusser, Apple’s Vice President of Apple Music and Beats. “Innovative music discovery is at the heart of everything we do, empowering music enthusiasts globally to instantly identify songs wherever and whenever they’re played.”

In 2002, Shazam debuted as a pioneering SMS-based music recognition service in the UK. To use the platform, users would dial 2580, wait for their phones to scan the song, and receive the track title and artist information via text message. As Shazam’s popularity and influence grew over the years, it wasn’t until the 2008 launch of the App Store and introduction of Shazam’s iOS app that its music recognition technology reached a massive audience of hundreds of thousands of users. As of the summer of 2011, Shazam had successfully identified more than one billion unique songs.

In 2018, Apple’s acquisition of Shazam marked a significant milestone in the evolution of music discovery, unlocking unprecedented access to songs through cutting-edge technology and innovative features.

The latest enhancements enable seamless music recognition on both iOS and macOS platforms, allowing users to quickly identify songs playing around them or within apps, even when using headphones with ease. Apple’s latest watchOS update takes it up a notch by incorporating Shazam as a widget within the Apple Watch’s Today View, cleverly proposing song recognition whenever nearby music is picked up. With the seamless integration of Shazam into the Motion button on latest iPhone and Apple Watch models, customers can now effortlessly recognize music with just a simple press-and-hold, taking music identification to new heights of convenience. With the latest Wear OS update, Shazam now empowers Android users to identify songs directly from their smartwatch, further amplifying their musical expertise. Shazam’s Fast Settings tile now enables users to access their playback history directly.

Shazam’s growing reputation may also be attributed to its ability to stay attuned to the pulse of music and seize world music trends and moments, as exemplified by this summer’s video games in Paris where Kavinsky’s “Nightcall” became the most recognized song within a single minute. Shazam’s commitment to revolutionizing music discovery is evident in its remarkable track record, fostering a community of over 300 million monthly active users who engage enthusiastically with their favorite artists.

Discover the sonic treasures within Shazam’s esteemed Prime 100 Songs of All Time playlist.

Amazon’s Black Friday Week sale takes a whopping 40% off the Galaxy Watch 7, slashing its price to an astonishingly low value.

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Samsung’s latest Apple Watch competitor is now available in multiple versions catering to different dimensions, connectivity options, and color schemes. However, two standout models currently dominate Amazon’s Black Friday Week deals, offering significant discounts at the time of this writing?

The entry-level Bluetooth-only 40mm variant is discounted by 32% ($95) from its regular price of $299.99, with this offer only available for the fresh colorway. Additionally, the larger 4G LTE-enabled 44mm unit receives a 33% discount (125 bucks) from its usual value of $379.99, also featuring the same vibrant color scheme.

Elevated by its Put on OS foundation and infused with Samsung’s One UI flair, this device boasts a remarkable fusion of software and hardware prowess, notwithstanding some room for improvement in battery life. The standout feature remains the resplendent 360-degree AMOLED display, complemented by an impressive suite of health monitoring tools.

Our  Although it initially fell short in accurately tracking the wearer’s energy levels, the device’s comprehensive feature set still impresses with its functional blood oxygen sensor, ECG performance, and advanced Vitality Rating calculations powered by a precise BIA (Bioelectrical Impedance Analysis) sensor capable of monitoring the wearer’s physiological composition from their wrist. A game-changer for price-conscious Samsung enthusiasts currently seeking unbeatable deals.
Take into account that Scheduled to run for over a week, however, these limited-time offers of $95 and $125 reductions seem poised to expire quickly – potentially within just a few days or even hours. If that occurs, you may always consider going Maximize your vacation finances by trading in an eligible machine at Disney’s official US online store.