Top 5 stories of the week: DeepMind and OpenAI advancements, Intels plan for GPUs, Microsofts zero-day flaws – VentureBeat

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This week, Googled-owned tech lab, DeepMind, unveiled its first AI that is capable of creating its own algorithms to speed up matrix multiplication. Though its taught in high school math, matrix multiplication is actually fundamental to computational tasks and remains a core operation in neural networks.

In the same vein, OpenAI this week announced the release of Whisper its open-source, deep learning model for speech recognition. The company claims the technology already shows promising results transcribing audio in several languages.

Joining the innovation sprint this week, Intel detailed a plan to make developers lives a bit easier, with a goal to make it possible to build an application once that can run on any operating system. Historically, this was a goal of the Java programming language, but even today the process is not uniform across the computing landscape something Intel hopes to change.

On the security front, enterprise leaders had several new announcements to take note of this week, including the zero-day flaw exploit in Microsofts Exchange Server. The company confirmed that a suspected state-sponsored threat actor was able to successfully exfiltrate data from fewer than 10 organizations using its staple platform.

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While its no secret that attacks like these continue to expand in both volume and intensity the methods for preventing attacks are also evolving. Vulnerability solutions provider Tenable is one that has evolved to change its main focus, too. This week, the company announced its shifting its focus from vulnerability management to attack surface management and released a new tool for enterprises with that focus.

Heres more from our top five tech stories of the week:

AlphaTensor, according to a DeepMind blog post, builds upon AlphaZero, an agent that has shown superhuman performance on board games like chess and Go. This new work takes the AlphaZero journey further, moving from playing games to tackling unsolved mathematical problems.

This research delves into how AI could be used to improve computer science itself.

The ability to build once and run anywhere, however, is not uniform across the computing landscape in 2022. Its a situation that Intel is looking to help change, at least when it comes to accelerated computing and the use of GPUs.

Intel is contributing heavily to the open-source SYCL specification (SYCL is pronounced like sickle) that aims to do for GPU and accelerated computing what Java did decades ago for application development.

Exposure management gives security teams a broader view of the attack surface, offering the ability to conduct attack path analysis to analyze attack paths from externally identified points to internal assets. It also allows organizations to create a centralized inventory of all IT, cloud, Active Directory and web assets.

While information is limited, Microsoft has confirmed in a blog post that these exploits have been used by a suspected state-sponsored threat actor to target fewer than 10 organizations and successfully exfiltrate data.

Developers and researchers who have experimented with Whisper are also impressed with what the model can do. However, what is perhaps equally important is what Whispers release tells us about the shifting culture in artificial intelligence (AI) research and the kind of applications we can expect in the future.

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Top 5 stories of the week: DeepMind and OpenAI advancements, Intels plan for GPUs, Microsofts zero-day flaws - VentureBeat

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