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Release notes for Deephaven version 0.34 | Deephaven

Release notes for Deephaven version 0.34 | Deephaven

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

//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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BeAble Capital invests €174K in Ecogranular’s wastewater treatment tech

BeAble Capital invests €174K in Ecogranular’s wastewater treatment tech

Spanish private equity fund BeAble Capital has invested €174,000 in Ecogranular, a spin-off of the University of Granada, whose technology aims to transfer wastewater treatment, reducing the water footprint and operating expenses and raising the quality of our waters. One of the biggest challenges that cities face is to optimally manage wastewater treatment, minimising energy expenditure while reducing its impact on the environment.  Ecogranular has developed a new technology that, for the first time, allows granular biomass to be used continuously, which will greatly facilitate its implementation in water purification stations. The tech minimises the loss of biomass inside the…
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Introducing the Frontier Safety Framework

Introducing the Frontier Safety Framework

Our approach to analyzing and mitigating future risks posed by advanced AI modelsGoogle DeepMind has consistently pushed the boundaries of AI, developing models that have transformed our understanding of what's possible. We believe that AI technology on the horizon will provide society with invaluable tools to help tackle critical global challenges, such as climate change, drug discovery, and economic productivity. At the same time, we recognize that as we continue to advance the frontier of AI capabilities, these breakthroughs may eventually come with new risks beyond those posed by present-day models.Today, we are introducing our Frontier Safety Framework - a…
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Mozilla says it will add Tab Groups, Vertical Tabs, Profile Management to Firefox – gHacks Tech News

Mozilla says it will add Tab Groups, Vertical Tabs, Profile Management to Firefox – gHacks Tech News

Mozilla has officially announced a roadmap that outlines some important features which will be added to Firefox. Notable additions will include support for Tab Groups, Vertical Tabs, and a better Profile Management system. Vertical Tabs are coming to Firefox Mozilla's Tweet poked fun at itself, saying that it heard users who had been asking for a vertical tab bar in the browser. The feature is already available in the Larch channel of Firefox, which Martin tested last month. Vertical tabs aren't new, Brave browser has the feature, as do Vivaldi, and Microsoft Edge. Firefox users have relied on extensions like…
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GenAI Just Got A Little Less Opaque

GenAI Just Got A Little Less Opaque

Yesterday, the AI startup Anthropic published a paper detailing the successful interpretation of the inner workings of a large language model (LLM). LLMs are notoriously opaque — their size, complexity, and numeric representation of human language have hitherto defied explanation — so it’s impossible to understand why inputs lead to outputs. Anthropic used a technique called dictionary learning, leveraging a sparse encoder to isolate specific concepts within its Claude 3 Sonnet model. The technique allowed them to extract millions of features, including specific entities like the Golden Gate Bridge as well as more abstract ideas such as gender bias. They…
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Scale AI

Scale AI

I’m excited to share Generational’s inaugural growth & late-stage company briefing with a deep dive on Scale AI, blending analytical rigor with feature writing. Disclaimer: I have a financial interest in Scale. Don’t take this as investment advice.In this deep dive, you’ll learn insights from conversations with Scale’s customers, ex-employees, and competitors. I could do this thanks to Tegus, which centralizes expert calls into a single platform. Nothing beats primary research when it comes to understanding a company. If you’re curious about Tegus, try them out with this link.Scale AI accelerates the development of AI applications through services and software.…
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Maps say this place doesn’t exist. But that’s not true

Maps say this place doesn’t exist. But that’s not true

You may think of the places that remain uncharted by maps as very distant or rural areas. In reality, thriving, bustling communities of millions are not captured in any data source.  In fact, places all around the world have yet to be fully mapped, which is a huge problem. With the increase in climate-related disasters, this lack of data poses serious risks to the most vulnerable populations, especially in the global south. Gaps in data mean gaps in service delivery and gaps in disaster response. Here’s how you can join 600,000 volunteers worldwide and help communities put their citizens, roads,…
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LLM Task-Specific Evals that Do & Don’t Work

LLM Task-Specific Evals that Do & Don’t Work

If you’ve ran off-the-shelf evals for your tasks, you may have found that most don’t work. They barely correlate with application-specific performance and aren’t discriminative enough to use in production. As a result, we could spend weeks and still not have evals that reliably measure how we’re doing on our tasks. To save us some time, I’m sharing some evals I’ve found useful. The goal is to spend less time figuring out evals so we can spend more time shipping to users. We’ll focus on simple, common tasks like classification/extraction, summarization, and translation. (Although classification evals are basic, having a…
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