Articles about Artificial Intelligence

Technologies like AI are set to impact on many industries but perhaps more than most on healthcare. This is also an industry that's uniquely attractive to hackers thanks to the mix of personal and scientific information that it holds.

So how will healthcare benefit -- or suffer -- from technology in 2024? here's what some experts with their fingers on the pulse think.

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The advent of artificial intelligence (AI) and large language models (LLMs) marks a significant turning point for the legal sector. Recent studies suggest a dramatic change is on the horizon, with up to 44 percent of tasks in law firms potentially being automated by AI. This impending transformation necessitates a re-evaluation of legal roles, requiring professionals to adapt and collaborate with AI while also preparing for the emergence of new positions.

AI promises to greatly enhance the efficiency and effectiveness of legal services, from streamlining the creation of legal documents, contracts, and agreements to automating repetitive tasks, to ensure accuracy and uniformity. AI's capability extends beyond mere data extraction; it can rapidly summarize complex documents like depositions and complaints and transform text into actionable insights. This will empower legal professionals to better understand and manage legal obligations, which will significantly enhance client services.

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Whether it's due to high-profile attacks or new defensive technologies, the world of cybersecurity is never far from the news.

Here is what some industry experts think the cybersecurity trends will be in the coming year.

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2023 rapidly became 'The Year of AI Panic' as governments and the press entered into an AI frenzy.

Progress in Generative AI, spearheaded by GPT4’s release in March, offered users incredible tools with a visible utility and practical benefit. Its impact could be felt across their personal and business lives. From that point there has been a buzz around AI with a snowball effect across the media fueled by sudden engagement from the most senior levels of government across the planet. 2023 has seen the AI train fly across our screens, and the pace of developments from a technical, policy and regulatory perspective has been almost impossible to keep up with. So too has the FUD -- fear, uncertainty and doubt that accompanies disruption.

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AI, particularly widely available tools like ChatGPT, has made big waves in 2023. Is this set to continue into next year or will we see a different approach to using the technology?

Here are the views of some industry experts.

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As with many other areas this year, software development has been greatly influenced by the rise in AI. But that's not the only area where things are changing.

Here’s what some industry experts think the development sector has in store for 2024.

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A new report from Abnormal Security highlights real-world examples of how AI is being used to carry out cyberattacks.

Generative AI allows scammers to craft unique email content, making detection that relies on matching known malicious text strings infinitely more difficult.

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In 2023, we witnessed the beginnings of a global AI-driven revolution. With recent studies revealing that one in six UK organizations have already embraced artificial intelligence (AI), these technologies have solidified their position in driving the next wave of digital innovation.

However, until now, organizations have been largely focused on AI experimentation, which has limited the benefits they’ve unlocked. They are now seeking to mature their strategies and embrace AI in a more transformational manner, by embedding these technologies into their core business processes. The launch of solutions like the Open AI GPT Store towards the end of 2023 is set to accelerate this drive for AI maturity, making it easier for organizations to embed ready-built use cases into their operations.

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The use of AI tools for mobile app development and testing is growing, and developers and testers are keen to further expand the use of these tools, according to a new report.

The study from Kobiton finds 60 of respondents say they are currently using generative AI tools in their QA cycles to update scripts or code, 55 percent are using these tools to analyze test results, and 47 percent are using them to generate test scripts.

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Artificial Intelligence, Internet of Things, Cybersecurity, Blockchain: these words have become common terms we hear everyday, dominating the news and business landscapes worldwide under what we have come to know as Deep Tech. According to recent research, in 2021 the deep tech market registered a total revenue of US$431.1 Million, and is expected to grow by 21 percent between 2022 and 2032 for a value of US$ 3,733.8.

Start-ups and companies within the Deep Tech space are all about innovation and advancing technologies, often diving into niche parts of already narrow fields. They run the business side differently, they bring revolutionary approaches to traditional dynamics in the work environment, and even create new roles and job titles not seen in other companies. Staying true to their nature where science and innovation plays an important role, these companies engage in specific activities that best compliment their primary immediate goal of research and development, whether this is about technology, sharing knowledge or growing their community.

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We know that fraud is on the increase and by their very nature scams can be hard to spot because… Well because they're scams.

Step forward Bitdefender with the launch of a new, free scam detection service designed to help users verify fraudulent online schemes delivered by email, embedded links, text, and instant messaging through collaboration with a chatbot powered by artificial intelligence.

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A new report shows that 79 percent of public sector organizations have started to use AI in production (compared to 83 percent in the private sector) but that trust remains a major concern.

The study, from enterprise resilience platform Splunk, shows trust and reliability in AI-enabled systems -- particularly around cybersecurity tools that employ AI -- continue to be the main concerns for decision-makers (48 percent public, 36 percent private).

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From governments, to entrepreneurs, to enterprises, organizations are looking to understand and exploit Artificial Intelligence to support data-driven decision making. At the heart of this is knowing how AI, and particularly generative AI, operates. Like so much other technology, effective AI is a matter of data analysis.

Put simply, the more data an AI is fed, and the higher quality, the better its analysis will be. This means that the age-old problem of Garbage In, Garbage Out (GIGO) will always be an issue. But there is another, equally crucial issue to consider -- timeliness. 

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Freepik, known for its extensive platform of audio-visual resources, has launched Freepik Pikaso, a new real-time sketch-to-image generator. The tool is designed to make AI image creation more accessible and efficient.

Using new groundbreaking LCM AI technology, Freepik Pikaso allows users to create an image by sketching in real-time. Creations can be further enhanced with the addition of icons, additional sketches, written prompts, or even images from a webcam. Since its beta launch, the tool has been used to create over 10 million AI-generated images.

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One-in-three IT leaders say they are struggling with finding qualified AI and ML talent, and while these are the biggest areas of focus, 43 percent rate their teams' AI and ML skill sets as low.

A new study from Skillsoft of more that 5,700 IT professionals finds skill development is a critical piece of the puzzle for building a competitive organization, though more work is needed to optimise training among technology teams.

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