stp2y - CybAI news

27 May

Release notes for Deephaven version 0.30.0 | Deephaven

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Deephaven turns 30! Well, sort of. We've released Community Core version 0.30.0, which brings forth new features to both server- and client-side APIs, improved performance, bug fixes, and upgrades that make it easier to use than ever before.ParquetJust a few weeks ago, the release of Community Core version 29 included a slew of improvements to our Parquet library, including:Support for the LZ4_RAW compression codec.Better performance.Better and easier-to-understand error handling.In just a short time, there have been yet more improvements to Deephaven's Parquet integration:Proper handling and conversion of Parquet and Deephaven date and time data types when reading and writing Parquet…

27 May

NeuraSpace platform assets jump tenfold

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PARIS – In six months, Portuguese startup NeuraSpace has gone from 25 to 250 satellites on its space traffic management platform. “For NeuraSpace, the ball is rolling,” Chiara Manfletti, NeuraSpace chief operating officer, told SpaceNews at the World Satellite Business Week conference here. The latest customer is South Africa’s Dragonfly Aerospace. Dragonfly announced plans Sept. 11 to rely on NeuraSpace for conjunction analysis and maneuver suggestions for Dragonfly’s EOS SAT-1. EOS-SAT-1 is the first of seven satellites Dragonfly plans to launch to gather agriculture and forestry data. “For us to partner with Dragonfly, a truly commercial company, where they see…

27 May

Building High-Quality and Trusted Data Products with Databricks

stp2y0 CommentsViral News

IntroductionOrganizations aiming to become AI and data-driven often need to provide their internal teams with high-quality and trusted data products. Building such data products ensures that organizations establish standards and a trustworthy foundation of business truth for their data and AI objectives. One approach for putting quality and usability at the forefront is through the use of the data mesh paradigm to democratize the ownership and management of data assets. Our blog posts (Part 1, Part 2) offer guidance on how customers can leverage Databricks in their enterprise to address data mesh's foundational pillars, one of which is "data as…

27 May

Trying to tame AI: Seoul summit flags hurdles to regulation

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The Bletchley Park artificial intelligence summit in 2023 was a landmark event in AI regulation simply by virtue of its existence.Between the event’s announcement and its first day, the mainstream conversation had changed from a tone of light bafflement to a general agreement that AI regulation may be worth discussing.However, the task for its follow-up, held at a research park on the outskirts of Seoul this week, is harder: can the UK and South Korea show that governments are moving from talking about AI regulation to actually delivering it?At the end of the Seoul summit, the big achievement the UK…

27 May

AI products for kids promising friendship and learning? 3 things to consider

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Smart toys with internet connections and AI-enabled robots, with capacities for sophisticated social interactions with children, are widely available today. This is no doubt driven by rapid development in Artificial Intelligence, with impacts being widely felt. Companies are looking to enhance productivity and revenue, while governments are considering safety measures in their AI strategies. Child-focused AI products include: Parents and professionals working with children may feel pressure to purchase these or other products as alternatives to in-person activities like play dates, therapy or games — or wonder about their usefulness and potential roles in children’s lives. Before charging ahead to…

27 May

AnalogCoder: Analog Circuit Design via Training-Free Code Generation

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arXiv:2405.14918v1 Announce Type: new Abstract: Analog circuit design is a significant task in modern chip technology, focusing on the selection of component types, connectivity, and parameters to ensure proper circuit functionality. Despite advances made by Large Language Models (LLMs) in digital circuit design, the complexity and scarcity of data in analog circuitry pose significant challenges. To mitigate these issues, we introduce AnalogCoder, the first training-free LLM agent for designing analog circuits through Python code generation. Firstly, AnalogCoder incorporates a feedback-enhanced flow with tailored domain-specific prompts, enabling the automated and self-correcting design of analog circuits with a high success rate. Secondly,…

27 May

Empirical Ventures raises £8.25M for deep science

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Empirical Ventures, founded by alumni of Bristol spinout Ziylo, has raised £8.25m for its deep science fund, S/EIS. The firm wants to raise a total of £10M to provide more support to early-stage deep science startups. Products backed by Empirical span from brain implants to robotic crop harvesters to vaccine temperature management. Their deep science criteria covers life sciences, advanced materials, photonics and quantum hardware, robotics and automation, agchem/tech and deeptech. The firm aspires to level up the UK’s deeptech landscape by leading due diligence applied to potential investments in deep science, thereby helping to de-risk early-stage investments for their…

27 May

Is GPT-4 getting worse over time?

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A new paper making the rounds is being interpreted as saying that GPT-4 has gotten worse since its release. Unfortunately, this is a vast oversimplification of what the paper found. And while the findings are interesting, some of the methods are questionable, so it’s worth digging into the details.One important concept to understand about chatbots is that there is a big difference between capability and behavior. A model that has a capability may or may not display that capability in response to a particular prompt.Chatbots acquire their capabilities through pre-training. It is an expensive process that takes months for the…

27 May

Foundational nabs $8M to help developers fix data quality issues faster – SiliconANGLE

stp2y0 CommentsGenAIFoundational nabs $8M to help developers fix data quality issues faster, Maria Deutscher, SiliconANGLE

Foundational Data Inc., a startup helping enterprises ensure their internal datasets are accurate, today announced that it has raised $8 million to finance growth initiatives. Viola Ventures and Google LLC’s Gradient Ventures fund led the seed round. They were joined by executives from Meta Platforms Inc., Datadog Inc. and other major tech firms. Against the backdrop of the investment, Foundational Data today announced the general availability of its namesake platform for troubleshooting data quality issues. Inaccuracies in business information are tricky to spot because their scope is often limited. In an analytics dashboard that contains multiple graphs, a pie chart…

27 May

6 NATO countries are planning to build a ‘drone wall’ to defend themselves against Russia, reports say

stp2y0 CommentsRAG models

Six NATO countries are joining forces to create a "drone wall" to defend themselves against Russia, AFP news agency reported.Over the weekend, ministers from Finland, Norway, Poland, Estonia, Latvia, and Lithuania convened to discuss a coordinated system to help defend against Russian provocations and smuggling attempts, per the Financial Times."This is a completely new thing -- a drone wall stretching from Norway to Poland, and the goal is to use drones and other technologies to protect our borders," Lithuania's interior minister Agnė Bilotaitė reportedly told the Baltic News Service.Further details on when the wall could be in place and how…