NIST announces new initiative to create systems that can detect AI-generated content – SiliconANGLE

NIST announces new initiative to create systems that can detect AI-generated content – SiliconANGLE

The National Institute of Standards and Technology today announced it’s launching a new initiative called NIST GenAI aimed at assessing generative artificial intelligence models and create systems that can identify AI-created text, images and videos. The launch of the new program came as NIST revealed its first draft publications on AI risks and standards. NIST GenAI will work to create new AI benchmarks and attempt to build what it calls “content authenticity” detection systems that can detect AI-generated media such as text and “deepfake” videos. It’s an effort to counter the dangers of fake and misleading, AI-generated information. In a…
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Fast Inference Using Automatic Differentiation and Neural Transport in Astroparticle Physics

Fast Inference Using Automatic Differentiation and Neural Transport in Astroparticle Physics

arXiv:2405.14932v1 Announce Type: new Abstract: Multi-dimensional parameter spaces are commonly encountered in astroparticle physics theories that attempt to capture novel phenomena. However, they often possess complicated posterior geometries that are expensive to traverse using techniques traditional to this community. Effectively sampling these spaces is crucial to bridge the gap between experiment and theory. Several recent innovations, which are only beginning to make their way into this field, have made navigating such complex posteriors possible. These include GPU acceleration, automatic differentiation, and neural-network-guided reparameterization. We apply these advancements to astroparticle physics experimental results in the context of novel neutrino physics and…
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Tired of SaaS clutter? UnifyApps uses AI to make disjointed apps talk to each other

Tired of SaaS clutter? UnifyApps uses AI to make disjointed apps talk to each other

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. The rise of software-as-a-service (SaaS) ecosystem has transformed how enterprises operate. No matter the problem, there’s always an app to deal with it. But, when these apps grow to the scale of hundreds across the enterprise stack, it can become difficult to make the most of them. Today, UnifyApps, a startup solving this problem by making apps talk to each other, raised…
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Redis acquires storage engine startup Speedb to enhance its open-source database – SiliconANGLE

Redis acquires storage engine startup Speedb to enhance its open-source database – SiliconANGLE

Redis Ltd. has acquired Speedb Ltd., the developer of a storage engine it uses to power its commercial database offerings. The company didn’t disclose the financial terms in its announcement of the deal today. Tel Aviv-based Speedb previously raised $4 million through a funding round that closed in 2021. It announced a partnership with Redis the following year.  Databases typically keep the information they hold in flash or disk storage. When an application requests a record, it’s fetched through a two-step process: The database loads the record from storage into memory and then makes it available to the workload that…
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LookUp3D: Data-Driven 3D Scanning

LookUp3D: Data-Driven 3D Scanning

arXiv:2405.14882v1 Announce Type: new Abstract: We introduce a novel calibration and reconstruction procedure for structured light scanning that foregoes explicit point triangulation in favor of a data-driven lookup procedure. The key idea is to sweep a calibration checkerboard over the entire scanning volume with a linear stage and acquire a dense stack of images to build a per-pixel lookup table from colors to depths. Imperfections in the setup, lens distortion, and sensor defects are baked into the calibration data, leading to a more reliable and accurate reconstruction. Existing structured light scanners can be reused without modifications while enjoying the superior…
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EIC Scaling Club announces its first 48 European deeptech scaleups

EIC Scaling Club announces its first 48 European deeptech scaleups

Today the EIC Scaling Club unveiled the selection of the first 48 European deep tech scaleups to join its curated community of standout companies, investors, corporate innovators, mentors, media firms and other industry stakeholders.  The list, which can be consulted in full below or here, includes EIC-backed companies such as Dronamics, Sherpa.ai, Sympower and Axelera AI.  The selected companies fall within four predefined market sector opportunities:  Next-Gen Computing Digital Security and Trust  Smart Mobility Renewable Energies.  In total, ten market sector opportunities have been identified as crucial for positive impact; others include Clean Fuels and Hydrogen, New Spacetech and New…
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Google’s Search AI Recommends Changing Your Car’s Blinker Fluid, Which Is a Made Up Thing That Does Not Exist

Google’s Search AI Recommends Changing Your Car’s Blinker Fluid, Which Is a Made Up Thing That Does Not Exist

We'll miss you, internet.Internet of PiecesGoogle's AI search wants you to change your car's "blinker fluid." No, dear reader: blinker fluid does not exist.Last week, at its yearly I/O conference, Google doubled down on its AI-powered vision for the future of search — a vision that, as it stands, basically involves embedding an AI-paraphrased regurgitation of search results at the top of a user's results page."Sometimes you want a quick answer, but you don’t have time to piece together all the information you need," the company's Head of Search Liz Reid wrote in an I/O-accompanying blog post. "Search will do…
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Aya 23: Open Weight Releases to Further Multilingual Progress

Aya 23: Open Weight Releases to Further Multilingual Progress

arXiv:2405.15032v1 Announce Type: new Abstract: This technical report introduces Aya 23, a family of multilingual language models. Aya 23 builds on the recent release of the Aya model ("Ust"un et al., 2024), focusing on pairing a highly performant pre-trained model with the recently released Aya collection (Singh et al., 2024). The result is a powerful multilingual large language model serving 23 languages, expanding state-of-art language modeling capabilities to approximately half of the world's population. The Aya model covered 101 languages whereas Aya 23 is an experiment in depth vs breadth, exploring the impact of allocating more capacity to fewer languages…
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Our next-generation model: Gemini 1.5

Our next-generation model: Gemini 1.5

Introducing Gemini 1.5By Demis Hassabis, CEO of Google DeepMind, on behalf of the Gemini teamThis is an exciting time for AI. New advances in the field have the potential to make AI more helpful for billions of people over the coming years. Since introducing Gemini 1.0, we’ve been testing, refining and enhancing its capabilities.Today, we’re announcing our next-generation model: Gemini 1.5.Gemini 1.5 delivers dramatically enhanced performance. It represents a step change in our approach, building upon research and engineering innovations across nearly every part of our foundation model development and infrastructure. This includes making Gemini 1.5 more efficient to train…
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