Articles about Artificial Intelligence

Conversations around artificial intelligence and the threat it poses to humanity have been building for years. The launch of ChatGPT (or generative AI) nearly a year ago thrust the issue to the forefront of the global agenda.

Discussions have reached such a fever pitch that in April this year, technologists including Elon Musk signed an open letter begging AI teams to pause development. Despite it being widely condemned, the letter underscored how seriously the world is considering AI risks.

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Artificial intelligence is just about impossible to avoid, and not content with packing Windows with AI-powered features, Microsoft is doing the same with PowerToys.

Details are currently a little thin on the ground, but the popular collection of utilities is due to gain a new module called Advanced Paste. Microsoft has not yet revealed much about the upcoming tool, but the schedule of events for next month's Build conference includes a session called "PowerToys Advanced Paste with Local AI".

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There's a lot of talk at the moment about how the use of AI opens up businesses to additional risk. But is AI itself the issue or is it the way in which it's integrated with other applications?

We talked to Ran Senderovitz, chief operating officer of Wing Security, to discuss how enterprises need to re-prioritize their security to address the real attack surface, the SaaS apps that leverage AI.

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A new survey of almost 1,800 security leaders and practitioners in 14 countries, finds 74 percent of respondents believe AI-augmented cyberthreats are already having a significant impact on their organizations, yet 60 percent believe they are currently unprepared to defend against these attacks.

The study from Darktrace shows 71 percent of respondents are confident that AI-augmented security solutions will be able to detect and block AI-augmented threats. However, only 26 percent fully understand which types of AI are used in their security stack today.

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No technology, especially in its early adoption phase, is without fault. Even with the popularity generative AI has gained in both the eyes of businesses and consumers alike, its imperfections cannot be glossed over. Hallucinations and biases in training data, among other issues, are leading business owners to hesitate when considering adoption.

While some early adopters have found ways to adopt large language models (LLMs) as they exist today, many feel they are left with essentially two options. Wait until improvements come or governmental guidelines are put in place to ensure the safe use of the technology, potentially being left behind, or adopt now and without letting AI touch business-critical systems. Neither of these options is truly viable, so where can businesses go from here? Diving below the surface coverage of gen AI to understand both its pros and cons will help modern businesses to determine where they can safely implement LLMs tomorrow.

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Spotify's new AI Playlist feature adds an AI component to the creation of playlists on the site. All it takes is to feed the AI some text and it does the rest.

Feed it "sing along songs while riding on a pony in Colorado", "songs while waiting for the microwave to go 'ping'", or "songs for boring bus rides in downtown LA", and you should get a list of matching music almost instantly.

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Despite what some might think, no, bots probably won't come looking for your job, but they may well attack your intellectual property. Generative AI (GenAI) has become a transformative technology for businesses in more ways than one.

In 2024, its widespread adoption will undoubtedly have an impact on organizations across all industries, resulting in increased productivity and efficiency. However, GenAI can be a double-edged sword. Organizations need to tread carefully when assessing organization security risk, especially when it comes to data protection.

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The rise of generative AI platforms like ChatGPT has brought us a step closer to a 'conversational web' where it's possible to find information and access services without needing an app.

This could potentially mean the end of app stores from the likes of Apple and Google and disrupt the whole app ecosystem.

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Microsoft is ramming Copilot further down the throats of Windows 11 users in the latest push of its AI-driven assistant.

The company is so eager for people to take notice of Copilot, that the company has elevated the tool so it is more prominent than important notifications. The change is seen in Windows 11 build 26100 as well as Windows 11 version 23H2 where the gesture previously used to access notifications now calls up Copilot instead.

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In the event of a data emergency -- say, a cyber attack or a natural disaster shutting down a data center -- no organization wants to worry about whether they have secure, up-to-date backups, and whether they can be easily recovered.

But without the help of artificial intelligence (AI) or machine learning (ML), fewer organizations are able to protect their backups against attacks, meet the necessary backup workload, or meet the defined service level agreements (SLAs) for the availability of information, applications, and infrastructures (or do so quickly and recover efficiently). 

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Ever wanted to learn Python using ChatGPT/GPT-4? The process is easier than you might think.

This book is intended primarily for people who want to learn both Python 3 and how to use ChatGPT with Python. It covers an introduction to fundamental aspects of Python programming, including various data types, number formatting, Unicode handling, and text manipulation techniques, loops, conditional logic, and reserved words in Python.

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A new report from IT solutions provider Auvik reveals a lack of skilled workers as the top challenge for IT teams.

Based on a study of over 2,000 internal IT and MSP professionals, the report shows an increased focus on adopting automation, including AI and ML tools, to address the needs of overworked and understaffed IT teams.

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Aa a company synonymous with search and a love of AI, it is little surprise that Google is combining the two. But people familiar with the company’s plans suggest that AI-powered search features could have a price tag attached to them.

The move would be a first for Google as the company has never charged for any search product, and it could be a sign that ads are simply not bringing in enough money. It is something that has been described as a big change to its business model, but it is not clear if this is a sign of further search-related charges to come.

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The development community has been quick to embrace generative AI for its productivity potential. But at the same time it raises concerns for enterprises around IP/ownership, security, compliance and more.

We talked to Steve Martinelli, director of developer advocacy and community at Equinix, to discuss the similarities between GenAI and open-source software's acceptance journey, and how we might tackle the unique challenges it presents.

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As the year draws to a close, it is of great value to reflect upon the last 12 months, particularly in assessing what has proven effective in light of newly introduced tools like generative AI-powered solutions. Gen AI has been a prominent theme this year, and organizations across industries are actively exploring its potential. Numerous companies are not only using popular gen AI tools, but also many are creating their own custom gen AI tools. In fact, the latest reports suggest that the gen AI market is poised for remarkable growth, with projections indicating it could reach an astounding $1.3 trillion by 2032.

McKinsey's findings reveal that commercial leaders are allocating more than 20 percent of digital budgets to gen AI, underscoring their pioneering role in pushing for adoption as a tool for company-wide implementation. This push can be good news for marketing teams. Marketers in particular find themselves at the threshold of transformative possibilities with AI tools for content creation. These AI-powered solutions offer the promise of streamlining content creation, making it faster and more precise. Marketers can harness the capabilities of AI to generate compelling visuals, craft persuasive messaging, and tailor content to specific audiences with unprecedented precision. Let’s dive into specific areas where gen AI has benefited the role of marketers and creatives.

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