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Showing posts from July, 2024

AI-Powered Software Development Will Enhance Developers’ Skills

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AI coding tools are not just for the production of code, they accelerate existing processes, help developers learn and drive innovation.It’s no exaggeration to say the advent of AI coding tools has transformed the future of enterprise software development. Perhaps that’s unsurprising when you consider that 92% of developers already use them both in and outside of work.                   However, as with any genuinely disruptive technology, there is inevitably some tension between early adopters and businesses looking to harness AI-powered software development to gain a competitive edge. This tension is completely normal for any powerful technology being integrated into enterprises. But it’s worth exploring the root cause of tension around the use of AI tools and how it can be alleviated. The majority of enterprises are sufficiently progressive to understand the enormous opportunity AI coding tools can provide. However, some are not yet clear on the degree to which AI will transform th

How AI Agents are changing software development

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We want to hear from you! Take our quick AI survey and share your insights on the current state of AI, how you’re implementing it, and what you expect to see in the future.Software engineering is among the many fields being changed with the fast progress in large language models (LLMs). In a few years, LLMs have evolved from advanced code autocomplete tools to AI agents that can design software, implement and correct entire modules and help software engineers become more productive. Like many other things surrounding LLMs, some of the excitement around AI-powered software engineering agents is unsubstantiated hype. But there is also true value to be captured, and developers who learn to use the new generation of AI tools will be able to do much more in less time.                             AI coding assistants There are three main ways that LLMs are changing the coding experience. First is the direct use of frontier models as assistants. Developers are using ChatGPT, Claude and other

Quantum computer built by Google can instantly execute a task that would normally take 47 years

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In a significant leap for the field of quantum computing, Google has reportedly engineered a quantum computer that can execute calculations in mere moments that would take the world’s most advanced supercomputers nearly half a century to process.The news, reported by the Daily Telegraph, could signify a landmark moment in the evolution of this emerging technology.Quantum computing, a science that takes advantage of the oddities of quantum physics, remains a fast-moving and somewhat contentious field.Quantum computers hold immense promise for potentially revolutionizing sectors like climate science and drug discovery. They offer computation speeds far beyond those of their classical counterparts.          Potential drawbacks of quantum computing However, this advanced technology is not without its potential drawbacks. Quantum computers pose significant challenges for contemporary encryption systems, thus placing them high on the list of national security concerns.The contentious discuss

ChatGPT: the latest news and updates on the AI chatbot that changed everything

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In the ever-evolving landscape of artificial intelligence, ChatGPT stands out as a groundbreaking development that has captured global attention. From its impressive capabilities and recent advancements to the heated debates surrounding its ethical implications, ChatGPT continues to make headlines. Whether you’re a tech enthusiast or just curious about the future of AI, dive into this comprehensive guide to uncover everything you need to know about this revolutionary AI tool. What is ChatGPT? ChatGPT is a natural language AI chatbot. At its most basic level, that means you can ask it a question and it will generate an answer. As opposed to a simple voice assistant like Siri or Google Assistant, ChatGPT is built on what is called an LLM (Large Language Model). These neural networks are trained on huge quantities of information from the internet for deep learning — meaning they generate altogether new responses, rather than just regurgitating specific canned responses. They’re not built