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The Obtain: computing’s brilliant younger minds, and cleansing up satellite tv for pc streaks

Artificial Intelligence

The Obtain: computing’s brilliant younger minds, and cleansing up satellite tv for pc streaks

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September 15, 2025

AlphaQubit: Addressing Quantum Computing’s Most Critical Shortcoming

AlphaQubit: Addressing Quantum Computing’s Most Critical Shortcoming

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December 5, 2024

What a revival! Serverless computing has finally come into its own, with AWS Lambda and Azure Functions leading the charge. The early adopters were mostly startups and small businesses looking to offload routine tasks without managing infrastructure. But now, even large enterprises are embracing serverless for its scalability, cost-effectiveness, and agility. In this new era, serverless is no longer just a niche technology for handling simple APIs or image processing. It’s being used in mission-critical applications like e-commerce platforms, financial trading systems, and customer service chatbots. The reason? Serverless lets you scale up or down based on demand, without worrying about provisioning servers. That’s not all – serverless also offers a level of fault tolerance that’s hard to match with traditional architectures. If a function fails, the system can automatically restart it, minimizing downtime. And with the rise of IoT and edge computing, serverless is poised to play an even more significant role in processing data closer to its source. But don’t just take our word for it – the stats are impressive: According to Gartner, by 2025, at least 30% of all new business applications will be built using serverless architectures. That’s up from just 5% last year! So what does this mean for developers and IT pros? It means you’ll need to adapt your skills to take advantage of this new paradigm. But don’t worry – the tools are getting better, and frameworks like React, Angular, and Vue.js are making it easier to build serverless apps. In conclusion, serverless computing is no longer a flash in the pan; it’s here to stay. And as it continues to evolve, we can expect even more innovative use cases and breakthroughs that will transform the way we build software.

Cloud Computing

What a revival! Serverless computing has finally come into its own, with AWS Lambda and Azure Functions leading the charge. The early adopters were mostly startups and small businesses looking to offload routine tasks without managing infrastructure. But now, even large enterprises are embracing serverless for its scalability, cost-effectiveness, and agility. In this new era, serverless is no longer just a niche technology for handling simple APIs or image processing. It’s being used in mission-critical applications like e-commerce platforms, financial trading systems, and customer service chatbots. The reason? Serverless lets you scale up or down based on demand, without worrying about provisioning servers. That’s not all – serverless also offers a level of fault tolerance that’s hard to match with traditional architectures. If a function fails, the system can automatically restart it, minimizing downtime. And with the rise of IoT and edge computing, serverless is poised to play an even more significant role in processing data closer to its source. But don’t just take our word for it – the stats are impressive: According to Gartner, by 2025, at least 30% of all new business applications will be built using serverless architectures. That’s up from just 5% last year! So what does this mean for developers and IT pros? It means you’ll need to adapt your skills to take advantage of this new paradigm. But don’t worry – the tools are getting better, and frameworks like React, Angular, and Vue.js are making it easier to build serverless apps. In conclusion, serverless computing is no longer a flash in the pan; it’s here to stay. And as it continues to evolve, we can expect even more innovative use cases and breakthroughs that will transform the way we build software.

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November 10, 2024

The emergence of AI could potentially outcompete the development and widespread adoption of quantum computing, stifling its potential impact.

Artificial Intelligence

The emergence of AI could potentially outcompete the development and widespread adoption of quantum computing, stifling its potential impact.

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November 9, 2024

Researchers at MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) have made a breakthrough in quantum computing, resolving the long-standing challenge of error correction in this technology. The team’s solution could significantly improve the stability and reliability of quantum computers, potentially enabling them to solve complex problems that are currently unsolvable with classical computers.

Researchers at MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) have made a breakthrough in quantum computing, resolving the long-standing challenge of error correction in this technology. The team’s solution could significantly improve the stability and reliability of quantum computers, potentially enabling them to solve complex problems that are currently unsolvable with classical computers.

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November 8, 2024