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Gemini breaks new ground with a faster model, longer context, AI agents and more
23 May

Gemini breaks new ground with a faster model, longer context, AI agents and more

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1.5 Flash excels at summarization, chat applications, image and video captioning, data extraction from long documents and tables, and more. This is because it’s been trained by 1.5 Pro through a process called “distillation,” where the most essential knowledge and skills from a larger model are transferred to a smaller, more efficient model.Read more about 1.5 Flash in our updated Gemini 1.5 technical report, on the Gemini technology page, and learn about 1.5 Flash’s availability and pricing.Significantly improving 1.5 ProOver the last few months, we’ve significantly improved 1.5 Pro, our best model for general performance across a wide range of…
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How to use Google Search entirely AI-free automatically – gHacks Tech News
23 May

How to use Google Search entirely AI-free automatically – gHacks Tech News

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Google is integrating AI information into Google Search. Called AI Overviews, it is a feature that is rolling out to users from specific regions already. The feature adds an AI response to the very top of the search results. Below that, you find the regular web links. There are good reasons to skip AI output. From hallucinations, which means made-up information, to returning the wrong or even dangerous information. Add ads to that, which Google is now also rolling out in the United States, and you may not be super interested into these results at the time of writing. If…
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AI, Platforms, And Big Promises: What We Saw At Red Hat Summit
23 May

AI, Platforms, And Big Promises: What We Saw At Red Hat Summit

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IT platform teams’ responsibilities in 2024 are expanding radically. They’re being asked to provide cost-effective alternative solutions for the VMware virtualization technology that typically dominates enterprise IT. While they’re at it, could they please also stand up state-of-the-art AI platforms that can support generative AI in the data center and cloud that work as well as big cloud-managed AI services but for less money? Those were the big questions hanging over some 6,000 attendees of Red Hat Summit in Denver May 6–9. Red Hat responded with a series of announcements of offerings — some immediate, some long-term — that are…
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Data Moats in Generative AI
23 May

Data Moats in Generative AI

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The deep learning wave of the early 2010s led to a surge of data-hungry products. These products needed so much data that gathering it requires significant investment. So, the business community started honing the idea of data as a strategic asset and a business moat. As the Economist put it in a 2017 issue, “The world’s most valuable resource is no longer oil, but data.” This essay discusses data moats in today’s context of generative AI, which is driven by models that are exponentially more data-hungry. But first, what is a data moat? what is even an “AI product”?A data…
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Why ChatGPT feels more “intelligent” than Google Search
23 May

Why ChatGPT feels more “intelligent” than Google Search

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The Google Search bar doesn’t feel like an artificial intelligence. No one speculates that it might soon become an artificial general intelligence (AGI) — an entity that is competitive across many domains to a human being.But do you know many “generally intelligent” humans who can muster a decent translation into and out of 133 languages? Or a co-worker who can perform mathematical operations instantly, know a good route between pretty much any two locations on the planet, and proffer a plausible answer to every question you might ask, in less than a second? Sure, these answers aren’t original, and nor are they…
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Don’t Mock Machine Learning Models In Unit Tests
23 May

Don’t Mock Machine Learning Models In Unit Tests

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I’ve been applying typical unit testing practices to machine learning code and it hasn’t been straightforward. In software, units are small, isolated pieces of logic that we can test independently and quickly. In machine learning, models are blobs of logic learned from data, and machine learning code is the logic to learn and use these derived blobs of logic. This difference makes it necessary to rethink how we unit test machine learning code. How ML code differs from regular software In software, we write code that contains logic; in ML, we write code that learns logic and then uses that…
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The 1TB 14-inch MacBook Pro M3 is cheaper than ever right now
23 May

The 1TB 14-inch MacBook Pro M3 is cheaper than ever right now

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You can pick up a specced-out version of last year’s MacBook Pro M3 for cheaper than ever right now, at $1,800. This is a discount of $200 for Apple’s flagship laptop with 1TB of SSD storage and 16GB of RAM. This deal is only available for the 14-inch Space Gray model. The silver model is also on sale, but with just an eight percent discount.Devindra Hardawar/EngadgetAs for the computer itself, it’s the MacBook Pro M3. It’s one of the best laptops you can buy, particularly for people who do intensive creative work on a computer, like video editing and music-making.…
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Release notes for Deephaven version 0.34 | Deephaven
23 May

Release notes for Deephaven version 0.34 | Deephaven

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The wait is over, and Deephaven Community Core version 0.34.0 is out. This is a big release with significant enhancements and new features. Are you ready to explore the latest updates? Let's dive in and discover what's new!Command line interface for pip-installed Deephaven​Do you run Deephaven from Python without Docker? If so, chances are it's because:You don't like Docker.You want to keep everything in Python.You like the Jupyter experience.Well, we have good news. It just got even easier to start Deephaven from Python with the introduction of a new command line interface.If you pip install Deephaven 0.34.0 or later via…
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23 May

Recap of Embedded World 2024: Edge AI, Hardware and More – EE Times

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//php echo do_shortcode('[responsivevoice_button voice="US English Male" buttontext="Listen to Post"]') ?> EE Times and AspenCore staff were on-site at embedded world 2024, in April, providing expert coverage on the latest and greatest developments at the annual trade fair for professionals in embedded-system technologies. Our editors covered a wide range of topics, including AI, tinyML, hardware, sustainability and more, as well as delivered in-depth video interviews during the duration of the conference. Here is a recap of our coverage across EE Times and our sister publications, in case you missed any of it:     By MRPeasy  05.01.2024 By Global Unichip Corp. …
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