The breakthrough that makes robot faces feel less creepy

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Humans pay enormous attention to lips during conversation, and robots have struggled badly to keep up. A new robot developed at Columbia Engineering learned realistic lip movements by watching its own reflection and studying human videos online. This allowed it to speak and sing with synchronized facial motion, without being explicitly programmed. Researchers believe this …

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ParaRNN: Unlocking Parallel Training of Nonlinear RNNs for Large Language Models

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Recurrent Neural Networks (RNNs) laid the foundation for sequence modeling, but their intrinsic sequential nature restricts parallel computation, creating a fundamental barrier to scaling. This has led to the dominance of parallelizable architectures like Transformers and, more recently, State Space Models (SSMs). While SSMs achieve efficient parallelization through structured linear recurrences, this linearity constraint limits …

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Advanced fine-tuning techniques for multi-agent orchestration: Patterns from Amazon at scale

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Our work with large enterprise customers and Amazon teams has revealed that high stakes use cases continue to benefit significantly from advanced large language model (LLM) fine-tuning and post-training techniques. In this post, we show you how fine-tuning enabled a 33% reduction in dangerous medication errors (Amazon Pharmacy), engineering 80% human effort reduction (Amazon Global …

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Cloud CISO Perspectives: Practical guidance on building with SAIF

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Welcome to the first Cloud CISO Perspectives for January 2026. Today, Tom Curry and Anton Chuvakin, from Google Cloud’s Office of the CISO, share our new report on using Google’s Secure AI Framework with Google Cloud capabilities and services to build boldly and responsibly with AI. As with all Cloud CISO Perspectives, the contents of …

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Listen Labs raises $69M after viral billboard hiring stunt to scale AI customer interviews

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Alfred Wahlforss was running out of options. His startup, Listen Labs, needed to hire over 100 engineers, but competing against Mark Zuckerberg’s $100 million offers seemed impossible. So he spent $5,000 — a fifth of his marketing budget — on a billboard in San Francisco displaying what looked like gibberish: five strings of random numbers. …

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How the Amazon AMET Payments team accelerates test case generation with Strands Agents

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At Amazon.ae, we serve approximately 10 million customers monthly across five countries in the Middle East and North Africa region—United Arab Emirates (UAE), Saudi Arabia, Egypt, Türkiye, and South Africa. Our AMET (Africa, Middle East, and Türkiye) Payments team manages payment selections, transactions, experiences, and affordability features across these diverse countries, publishing on average five …

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