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The use of deepfakes to evade security controls and compromise organisations is on the rise among cybercriminals, with researchers seeing a 13% increase in the use of deepfakes compared with last year, said a new report. Deepfakes use deep learning artificial intelligence (AI) to replace the likeness of one person with another in video and other digital media. The findings from US-based cloud computing and virtualisation firm VMware's eighth annual'Global Incident Response Threat Report', which surveyed 125 cybersecurity professionals from around the world, also revealed an uptick in the overall cybersecurity attacks since Russia's invasion of Ukraine, as stated by two-thirds (65%) of those professionals. "Cybercriminals are now incorporating deepfakes into their attack methods to evade security controls," said Rick McElroy, principal cybersecurity strategist at VMware. "Two out of three respondents in our report saw malicious deepfakes used as part of an attack, a 13% increase from last year, with email as the top delivery method. Cybercriminals have evolved beyond using synthetic video and audio simply for influence operations or disinformation campaigns. Their new goal is to use deepfake technology to compromise organisations and gain access to their environment," added McElroy.

Is that really Tom Cruise about to wrestle an alligator? Keanu Reeves dancing like nobody is watching? Deepfake technology is advanced artificial intelligence that replaces actual video and audio with video and audio that was artificially created from other sources. While it may look like harmless fun on TikTok, it's also becoming a huge security risk for businesses of all sizes. According to a just released report from the cloud service firm VMware, deepfake attacks are on the rise.

Is that really Tom Cruise about to wrestle an alligator? Keanu Reeves dancing like nobody is watching? Deepfake technology is advanced artificial intelligence that replaces actual video and audio with video and audio that was artificially created from other sources. While it may look like harmless fun on TikTok, it's also becoming a huge security risk for businesses of all sizes. According to a just released report from the cloud service firm VMware, deepfake attacks are on the rise.

Nvidia has rolled out the latest version of its AI Enterprise suite for GPU-accelerated workloads, adding integration for VMware's vSphere with Tanzu to enable organisations to run workloads in both containers and inside virtual machines. Available now, Nvidia AI Enterprise 1.1 is an updated release of the suite that GPUzilla delivered last year in collaboration with VMware. It is essentially a collection of enterprise-grade AI tools and frameworks certified and supported by Nvidia to help organisations develop and operate a range of AI applications. That's so long as those organisations are running VMware, of course, which a great many enterprises still use in order to manage virtual machines across their environment, but many also do not. However, as noted by Gary Chen, research director for Software Defined Compute at IDC, deploying AI workloads is a complex task requiring orchestration across many layers of infrastructure.

New technologies have enabled banks, insurers and other financial services firms to overhaul their operations and identify different ways of serving their clients. Over recent decades, innovative products have transformed the financial services industry – from payment types including credit and debit cards, to transaction processing such as telephone and online banking, to saving options such as investment funds and structured products, to e-commerce for financial assets, to risk management techniques, and beyond. Financial services firms must embrace the opportunities offered by innovation and further integrate disruptive technologies, such as artificial intelligence (AI), advanced analytics, robotics, the cloud and blockchain, to enable new services and capabilities. While there is still a place for traditional banking and financial services, customer expectations and preferences are evolving. According to VMware, almost half of UK consumers prefer to engage with banks via apps rather than in person, while two-fifths believe their smartphone is more important than their wallet in powering financial transactions.

Every week, Q.ai releases a thematic screen, courtesy of the Forbes AI Investor platform. With real-time insights and our proprietary internal ratings system – not to mention our artificial intelligence unit – we provide the data you need to build your portfolio in the long-term. This week, our thematic focus is on Quality Value. Q.ai runs factor models daily to get the most up-to-date reading on stocks and ETFs. Our deep-learning algorithms use Artificial Intelligence (AI) technology to provide an in-depth, intelligence-based look at a company – so you don't have to do the digging yourself.

Predicting Growth Scope: Global Machine Learning Infrastructure as a Service Market The Global Machine Learning Infrastructure as a Service Market research report is comprised of the thorough study of all the market associated dynamics. The research report is a complete guide to study all the dynamics related to global Machine Learning Infrastructure as a Service market. The comprehensive analysis of potential customer base, market values and future scope is included in the global Machine Learning Infrastructure as a Service market report. Along with that the research report on the global market holds all the vital information regarding the latest technologies and trends being adopted or followed by the vendors across the globe.The research report provides an in-depth examination of all the market risks and opportunities. The analysis covered in the report helps manufacturers in the industry in eliminating the risks offered by the global market.

When we consider earlier technology waves, there is often one company (or possibly two) that emerges as a leader and becomes synonymous with the technology. Mainframes became synonymous with IBM, virtualization spawned VMware, open source gave us Red Hat, web search was reinvigorated by Google, and social networks gave us Facebook and Twitter. We would argue that this has yet to happen with AI and machine learning (ML). AI – and its variants, notably machine learning – is an enabling technology. It enables computers to do things that weren't possible in earlier programming paradigms. With modern cloud computing, networking and storage, those things can be done at a scale unimaginable when the term'artificial intelligence' was first coined in the mid-1950s.

The next generation of wireless networks, dubbed 5G, will have more capacity, faster speeds, and lower latency than its predecessor 4G. As a result, it's expected to bring technologies like augmented reality, self-driving cars, data-crunching Internet of Things devices, and even smart cities closer to the mainstream than ever before. Deeply entwined with cloud computing, 5G is expected to be the backbone of so many future products and services that it has the potential to power economic growth for decades to come, analysts predict. At the moment, 5G networks are still being rolled out by wireless carriers, and the public has yet to fully realize its benefits. But there are plenty of opportunities for startups and major companies alike, including in partnering with wireless carriers, deploying private and enterprise 5G networks, and developing 5G-enabled applications.