Articles about AI

Today, hundreds of millions of people use tools like ChatGPT to brainstorm ideas, or Midjourney to create new visuals. Artificial intelligence (AI) tools have become part-and-parcel of our daily lives and are propelling the arrival of a new digital era. We now work more efficiently, can better meet professional or creative challenges, and accelerate new innovation.

But AI now has much more intrinsic value than supporting our daily tasks. It is integral to powering our critical services and keeping society running, whether that’s facilitating loan agreements or providing key access to higher education, mobility platforms or medical care. Identity verification, fundamental to online access, was traditionally seen as a gateway to credit checks and opening a bank account, but thanks to AI it now supports services from healthcare to travel and eCommerce.

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Often perceived as a necessary evil in the past, organizations are taking an increasingly proactive and committed approach to the regulation of technology and cybersecurity. Many are even going a step further by embracing independent standards to fill any gaps legislation may not address or, while waiting for laws to catch up with new developments.

Given today’s searing pace of change, characterized by the rapid rise of technologies like GenAI, this marks a positive way forward for businesses that care about their customers as well as their profits.

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While some Windows 11 users might prefer not to have Copilot included in Microsoft's latest operating system, there are also those using older, unsupported versions of Windows who would like to try the tech giant's AI assistant, if only to see what all the fuss is about.

Although Microsoft doesn’t provide Copilot for the likes of Windows XP, Windows 7, Vista, or Windows 8.1, you can still install and run it yourself.

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Primate Labs, the Canadian developer behind PC benchmarking tool Geekbench 6, has unveiled a new addition to its benchmarking family: Geekbench AI 1.0.

Available across the big five desktop and mobile platforms, Geekbench AI allows you to benchmark your devices using a series of frameworks to determine their AI capabilities. But why the need to test your own devices? The era of Artificial Intelligence is upon us, as tech companies fall over themselves in their attempts to convince us that computers can genuinely think for themselves. While the truth of AI -- more a case of machine learning than true intelligence -- doesn’t live up to the hype, that doesn’t mean the AI label is completely useless.

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No matter how you look at it, AI is currently booming. The AI market is on track to reach $407 billion by 2027 (compared to $86.9 billion in 2024). Last year, ChatGPT became the fastest-growing consumer application in history when it reached 100 million monthly active users just two months post launch. McKinsey declared 2023 as Generative AI’s breakout year, and a follow-up 2024 survey found that the percentage of organizations using Generative AI jumped from approximately 50 percent to 72 percent from 2023 and 2024. Meanwhile, a culture shift within tech and business has accelerated AI adoption seemingly overnight.

Long before Generative AI entered the scene, tech C-suites were concerned about being left behind. AI’s disruptive potential has only exacerbated this. Companies with the bandwidth to do so are developing their own AI systems or converting existing ones over to AI. Such behavior is motivated primarily by reputation management. No major player wants to look like they were left behind as their competitors innovated to newer heights.

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In Generative AI: Navigating the Course to the Artificial General Intelligence Future, celebrated author Martin Musiol -- founder and CEO of generativeAI.net and GenAI Lead for Europe at Infosys -- delivers an incisive and one-of-a-kind discussion of the current capabilities, future potential, and inner workings of generative artificial intelligence.

In the book, you'll explore the short but eventful history of generative artificial intelligence, what it's achieved so far, and how it's likely to evolve in the future. You'll also get a peek at how emerging technologies are converging to create exciting new possibilities in the GenAI space.

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The course starts by setting the foundation with an introduction to machine learning, Python, and essential libraries, ensuring you grasp the basics before diving deeper.

It then progresses through exploratory data analysis, data scrubbing, and pre-model algorithms, equipping you with the skills to understand and prepare your data for modeling.

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Every country in the world has a vested interest in the outcome of the US election in November. The choice of either Donald Trump or Kamala Harris will have huge impact around the globe, and there are some countries that are actively engaged in trying to sway voters and influence 2024 US election.

That the likes of Russia and China are engaged in targeting the result of the poll is unsurprising, but Microsoft has issued a warning that Iran is also planning to influence this year's US presidential election. A report from the Microsoft Threat Analysis Center highlights evidence of Iranian cyber-influence operations which have already been running for months.

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Generative AI is hard to avoid whether you like it or not. Images created by artificial intelligence proliferate online, as do news reports and countless other types of content -- including essays and research articles.

While it is sometimes incredibly easy to tell when Gen AI has been used to create a portion of text, this not always the case. But that could be set to change as OpenAI is working on a way to watermark Gen AI text, just as has been possible with images created by AI.

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After a lengthy period of testing, Microsoft has announced that the oddly named "new Outlook for Windows" has hit general availability. This means that commercial users, as well as those with personal accounts, are now able to take advantage of the latest version of Microsoft's email client.

As was the case with the previous stage of the rollout, full-scale general availability sees the new Outlook for Windows remaining an opt-in experience -- although this will change. There is, of course, a healthy (or unhealthy, depending on your view...) dose of AI sprinkled throughout, but there is much more to this update.

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Skype is one of those apps that has found numerous ways to irritate users over the years. But in something of a surprise move, Microsoft has announced a change that will instead delight.

Considering that this is a company that has faced complaints and criticism for stuffing ads into its Windows and Office products, the announcement feels very out of character. But the killing off of ads is not the only change in Skype.

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AI is exploding, particularly as large language models (LLMs) have infiltrated everyday life. Almost every new mainstream product seems to promote some usage of AI, and industry after industry is being transformed by its capabilities. But despite AI’s potential, some sectors have been slow to adopt it. Risk management is one of them. Fortunately, that is starting to change.

According to a 2023 Deloitte study, only 1.33 percent of insurance companies had invested in AI. Data from this year indicates a shift is underway. In Conning’s 2024 survey, 77 percent of respondents indicated that they are in some stage of adopting AI somewhere within their value chain. This may sound a bit nebulous -- some stage, somewhere -- but it represents a sizable jump from the 61 percent of respondents the prior year. Additionally, 67 percent of insurance companies disclosed they are currently piloting LLMs.

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We live in an age that is witnessing the rise of Artificial Intelligence. Many companies have begun incorporating AI features in their operating systems and apps, whether we like it or not.

AI assistants are not new per se, the likes of Apple's Siri, Google Assistant, Amazon's Alexa have existed for over a decade. But, the emergence of Open AI's ChatGPT changed how people view digital assistants. Chatbots offer a more interactive experience, you can text them like would a friend, access a history of your chats, and get relevant results. This was something that the old-gen couldn't provide, contextual interaction.

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Machine Learning Algorithms and Applications is for current and ambitious machine learning specialists looking to implement solutions to real-world machine learning problems.

It talks entirely about the various applications of machine and deep learning techniques, with each chapter dealing with a novel approach of machine learning architecture for a specific application, and then compares the results with previous algorithms.

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The global MedTech software market is projected to reach $598.90Bn by 2024 growing 5.3 percent annually due to increased R&D investments. As the market shifts towards tech-first patient care, MedTech software must meet quality and regulatory standards to ensure effective care and patient safety, making Quality Assurance (QA) critical throughout the Software Development Life Cycle (SDLC). QA ensures reliability, functionality, and adherence to industry standards with MedTech companies dedicating 31 percent of their software budget to QA and testing.

Artificial Intelligence (AI) tools have enhanced healthcare QA efficiency -- GenAI is notably reducing manual testing, improving software usability, and enhancing code quality. AI adoption is expected to make software testing more autonomous, boosting QA productivity by nearly 20 percent, with GenAI tools projected to write 70 percent of software tests by 2028.

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