Snowflake acquires TruEra to deliver LLM observability inside data cloud 

Snowflake acquires TruEra to deliver LLM observability inside data cloud 

Join us in returning to NYC on June 5th to collaborate with executive leaders in exploring comprehensive methods for auditing AI models regarding bias, performance, and ethical compliance across diverse organizations. Find out how you can attend here. Today, data ecosystem giant Snowflake announced it has entered a definitive agreement to acquire TruEra, an AI startup providing tools to test, debug and monitor machine language (ML) models and large language model (LLM) apps in production. While the terms of the deal remain under wraps, the acquisition is expected to bolster Snowflake’s effort to give its customers an end-to-end platform to…
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Photos show Jeff Bezos’ style glow-up over 30 years, from bookish businessman to a Vogue photo shoot and the Met Gala

Photos show Jeff Bezos’ style glow-up over 30 years, from bookish businessman to a Vogue photo shoot and the Met Gala

Jeff Bezos' public image has changed a lot in the 30 years since he started Amazon.The billionaire has shed his boring business attire and experienced a fashion glow-up.Here's a closer look at the evolution of his style and persona over the years. Thanks for signing up! Access your favorite topics in a personalized feed while you're on the go. download the app By clicking “Sign Up”, you accept our Terms of Service and Privacy Policy. You can opt-out at any time by visiting our Preferences page or by clicking "unsubscribe" at the bottom of the email. Jeff Bezos is in…
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T-Minus: New SpaceX fashion, a Mars mystery, and more

T-Minus: New SpaceX fashion, a Mars mystery, and more

This is T-Minus, where we count down the biggest developments in space, from new rocket launches to discoveries that advance our understanding of the universe and our place in it. Humanity is reaching new heights in space exploration. Make sure you’re part of the journey by subscribing here.A new Mars mysteryNASA / JPL-Caltech / MSSSAn image of Mars’ Gale Crater taken by the Curiosity rover Researchers at Los Alamos National Laboratory got a surprise when they used an instrument aboard NASA’s Curiosity rover to analyze the composition of rocks within Mars’ Gale Crater and discovered high levels of the mineral…
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Google Strategist Quits, Slams Company’s AI Work as Motivated by Greed and Fear

Google Strategist Quits, Slams Company’s AI Work as Motivated by Greed and Fear

"Stone-cold panic that they are getting left behind."To the RacesIn a very ticked-off LinkedIn post, a newly-retired Google strategist went off on his ex-employer for forcing AI down its workers' throats as it attempts to cash in on the latest tech trend."The 'AI Projects' I was working on were poorly motivated," wrote Scott Jenson, a former Google UX strategist, in a LinkedIn post, "and driven by this panic that as long as it had 'AI' in it, it would be great."On his profile, Jenson's other posts provide a bit of context for what those projects might have entailed as he…
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YUI: Day-ahead Electricity Price Forecasting Using Invariance Simplified Supply and Demand Curve

YUI: Day-ahead Electricity Price Forecasting Using Invariance Simplified Supply and Demand Curve

arXiv:2405.14893v1 Announce Type: new Abstract: In day-ahead electricity market, it is crucial for all market participants to have access to reliable and accurate price forecasts for their decision-making processes. Forecasting methods currently utilized in industrial applications frequently neglect the underlying mechanisms of price formation, while economic research from the perspective of supply and demand have stringent data collection requirements, making it difficult to apply in actual markets. Observing the characteristics of the day-ahead electricity market, we introduce two invariance assumptions to simplify the modeling of supply and demand curves. Upon incorporating the time invariance assumption, we can forecast the supply…
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Proteus Space raises seed funding for AI-assisted smallsat development

Proteus Space raises seed funding for AI-assisted smallsat development

WASHINGTON — A startup has raised a seed round of funding to develop customized satellites with the assistance of artificial intelligence as an alternative to standardized buses. Los Angeles-based Proteus Space announced Oct. 10 that it raised a $4.2 million seed round led by Moonshots Capital. Other investors participating in the round included Lavrock Ventures, The Veteran Fund, Mana Ventures, AIN Ventures, Capital Factory and Industrious Ventures. Proteus will use the funding to advance its technology to enable rapid development of customized small satellites using AI, which the company argues can rapidly shorten the time to develop those satellites without…
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Hasura debuts supergraph features to simplify complex API data integrations – SiliconANGLE

Hasura debuts supergraph features to simplify complex API data integrations – SiliconANGLE

Hasura Inc., a startup that sells a commercial version of the popular open-source GraphQL data management language, today announced a key update to that platform, integrating “supergraph” technology that makes it easier for applications to access data from multiple sources. The company said Hasura V3 is available now in beta, touting a new “domain-centric supergraph modeling framework” that sets a new standard for application programming interface composability. In addition, it comes with a new, distributed supergraph execution engine and various open-source data connectors to help address some of the challenges of data and API integration. San Francisco-based Hasura’s flagship Data API…
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Precise and Robust Sidewalk Detection: Leveraging Ensemble Learning to Surpass LLM Limitations in Urban Environments

Precise and Robust Sidewalk Detection: Leveraging Ensemble Learning to Surpass LLM Limitations in Urban Environments

[Submitted on 2 Apr 2024] View a PDF of the paper titled Precise and Robust Sidewalk Detection: Leveraging Ensemble Learning to Surpass LLM Limitations in Urban Environments, by Ibne Farabi Shihab and 3 other authors View PDF Abstract:This study aims to compare the effectiveness of a robust ensemble model with the state-of-the-art ONE-PEACE Large Language Model (LLM) for accurate detection of sidewalks. Accurate sidewalk detection is crucial in improving road safety and urban planning. The study evaluated the model's performance on Cityscapes, Ade20k, and the Boston Dataset. The results showed that the ensemble model performed better than the individual models,…
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