Artificial Intelligence

Why Data-Centric Security Is a Critical Foundation for AI-Powered Analytics

Why Data-Centric Security Is a Critical Foundation for AI-Powered Analytics

Brandi Boyd021 views

Data analytics have been used for decades to enhance business insight and drive efficiency, growth and innovation. However, the addition of intelligent algorithms and cloud computing power offers potentially game-changing opportunities to push these benefits even further. The challenge, as ever, is to ensure the underlying data itself is kept as secure as possible. If not, business leaders may lose confidence in its accuracy and expose their organization to significant financial, reputational and compliance risks.…

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Welcome to the Era of BadGPTs

Belle Lin0192 views

A new crop of nefarious chatbots with names like “BadGPT” and “FraudGPT” are springing up on the darkest corners of the web, as cybercriminals look to tap the same artificial intelligence behind OpenAI’s ChatGPT.

Just as some office workers use ChatGPT to write better emails, hackers are using manipulated versions of AI chatbots to turbocharge their phishing emails. They can use chatbots—some also freely-available on the open internet—to create fake websites, write malware and tailor messages to better impersonate executives and other trusted entities.

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The Top 5 tech trends in 2024 – Everyone must be ready for

Bernard Marr0236 views

Once again, we’ve reached the time of year when we look ahead at what technology has in store for us in 2024. Digital transformation doesn’t end – it’s an ongoing process, and the breakthrough trends that have made 2023 one of the most exciting years for innovation will continue to reshape our world in many exciting ways.

Machine intelligence, the blurring of the boundaries between the real and the virtual, and shaping the ongoing evolution of the internet will all radically impact our lives.

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Closing the gap between HPC and AI

Philipp Offenhäuser and Christopher Williams0214 views

Scientists and engineers face a number of technical hurdles to utilizing artificial intelligence (AI) techniques alongside high-performance scientific computing applications. Recently, a multidisciplinary team of researchers at Hewlett Packard Enterprise (HPE), the Institute of Aerodynamics and Gas Dynamics of the University of Stuttgart, and the High-Performance Computing Center Stuttgart (HLRS), created Relexi to overcome these technical challenges and provide the community with a large-scale simulation framework that can be tailored to their use cases.

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Introducing Qualcomm Cloud AI 100 Accelerators for HPE Edgeline Converged Edge Systems

John Schmitz0355 views

HPE and Qualcomm are collaborating to deliver high performance and power efficient solutions for customers deploying ML/DL models at the edge.

AI Inference workloads are often larger in scale than training workloads and frequently need to meet specialized requirements such as low-latency and high-throughput to enable real-time results. That’s why the best model deployment infrastructure often differs from what’s needed for development and training.…

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