Top 5 stories of the week: DeepMind and OpenAI advances, Intel’s plan for GPUs, Microsoft’s zero-day flaws

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

In a similar vein, OpenAI this week announced the release of Whisper, its open-source deep learning model for speech recognition. The company says the technology is already showing promising results in transcribing audio into multiple languages.

Joining the innovation sprint this week, Intel detailed a plan to make life a little easier for developers, with the goal of making it possible to create an app 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, which Intel hopes to change.

On the security front, business leaders had several new announcements to consider this week, including the zero-day exploit in Microsoft’s Exchange Server. The company confirmed that a suspected state-sponsored threat actor was able to successfully exfiltrate data from less than 10 organizations using its core platform.

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While it’s no secret that attacks like these continue to increase in volume and intensity, methods of attack prevention are also evolving. Vulnerability solution provider Tenable is one that has evolved to change its primary focus as well. This week, the company announced it was shifting its focus from vulnerability management to attack surface management and released a new tool for businesses in this area.

Here are more of our top five tech stories of the week:

  1. DeepMind Unveils First AI to Discover Faster Matrix Multiplication Algorithms
    Can artificial intelligence (AI) create its own algorithms to speed up matrix multiplication, one of the most fundamental tasks of machine learning? In an article published in Nature, DeepMind unveiled AlphaTensor, the “first artificial intelligence system for discovering new, efficient and proven-accurate algorithms”. The Google-owned lab said the research “brings to light” a 50-year-old open question in mathematics about finding the fastest way to multiply two matrices.

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

    This research looks at how AI could be used to improve computing itself.


  1. Intel CTO wants developers to build once, then run on any GPU
    More than two decades ago, the Java programming language, originally developed by Sun Microsystems, offered developers the promise of being able to build an application once and then run it on any operating system. .

    The ability to build once and run anywhere, however, isn’t uniform across the computing landscape in 2022. It’s a situation Intel is looking to help change, at least when it comes to compute. accelerated and the use of GPUs.

    Intel is a major contributor to the open-source SYCL specification (SYCL is pronounced like “sickle”) which aims to do for GPU and accelerated computing what Java did decades ago for application development.


  1. Tenable: Vulnerability management is complete, attack surface management is in place
    Vulnerability solutions provider, Tenable, has launched a new cloud-based exposure management platform, known as Tenable One, designed to discover assets and assess risk across the entire attack surface.

    Exposure management gives security teams a broader view of the attack surface, providing the ability to perform 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.


  1. Microsoft confirms that hackers are actively exploiting Exchange’s zero-day flaws
    Microsoft Exchange Server is one such business staple, but it’s also a key target for cybercriminals. Last week, GTSC reported that the attacks had begun to chain two new Exchange zero-day exploits together in coordinated attacks.

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


  1. How will OpenAI’s Whisper model impact AI applications?
    Last week, OpenAI released Whisper, an open source deep learning model for speech recognition. OpenAI’s tests on Whisper show promising results in audio transcription not only in English, but also in several other languages.

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


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