Agnostically Learning Single-Index Models using Omnipredictors

We give the first result for agnostically learning Single-Index Models (SIMs) with arbitrary monotone and Lipschitz activations. All prior work either held only in the realizable setting or required the activation to be known. Moreover, we only require the marginal to have bounded second moments, whereas all prior work required stronger distributional assumptions (such as …

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Deploying Across Security Domains

Palantir Binary Transfer Service & Apollo In the same way we’ve come to expect rapid delivery of Amazon orders, every organization strives for up-to-date, secure software at the speed of need. For those with a modest set of products, capable DevOps teams, and networks that can connect to the public internet, this is a tractable challenge. …

Rallying troops against cybercrime with QRadar SIEM

Cybersecurity is everyone’s business—as it should be, given the staggering surge in cyberattacks. Today, these attacks exhibit an unprecedented level of frequency, ingenuity and speed. The cyberthreat landscape is evolving and countries such as India are facing an alarming rate of increase in cyberattacks (Q2 of 2023 saw a 90% increase). Driven by accelerated hybrid …

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Welcome to a New Era of Building in the Cloud with Generative AI on AWS

We believe generative AI has the potential over time to transform virtually every customer experience we know. The number of companies launching generative AI applications on AWS is substantial and building quickly, including adidas, Booking.com, Bridgewater Associates, Clariant, Cox Automotive, GoDaddy, and LexisNexis Legal & Professional, to name just a few. Innovative startups like Perplexity …

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Introducing sample GenAI Databases Retrieval App – augment your LLMs with Google Cloud databases

Today we are announcing the open-source GenAI Databases Retrieval App, now available on GitHub. This project is a sample application that demonstrates production-quality practices for using techniques like Retrieval Augmented Generation (RAG) and ReACT to extend your gen AI application with information from Google Cloud databases. Large language models (LLMs) have become increasingly powerful and …

An AI-based approach to microgrids that can restore power more efficiently and reliably in an outage

It’s a story that’s become all too familiar—high winds knock out a power line, and a community can go without power for hours to days, an inconvenience at best and a dangerous situation at worst. UC Santa Cruz Assistant Professor of Electrical and Computer Engineering Yu Zhang and his lab are leveraging tools to improve …