Outside experts—some with a vested interest in peptides—recommended adding a number of the amino acids to the FDA’s bulks list, including the “Wolverine stack” touted by Joe Rogan and other influencers.
Researchers from the National University of Singapore (NUS) have developed artificial intelligence (AI) methods that learn the large-scale behavior of complex materials from microscopic data. By automatically identifying a small number of hidden variables that capture the collective behavior of a system, the methods can predict how materials evolve over time while reducing the need …
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AI Teammates are agentic AI on Amazon Bedrock, and few engineering organizations run them in production at the scale that monday.com does. Nine in ten Builders use AI coding tools every month, up from roughly half a year ago. Per-engineer PR throughput is up by more than half. Every figure in this post comes from …
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The cyclospora diarrhea outbreak isn’t an isolated incident. It’s part of a pattern of leafy greens wreaking digestive havoc.
MIT engineers have found a way to give chip-based lidar a wider, clearer view without relying on moving parts. Their design uses differently shaped antennas that can sit close together without scrambling one another’s signals. In tests, the system sharply reduced interference while steering a single precise beam across a broad field of view.
New research led by The University of Manchester in collaboration with Durham University has found that AI chatbots such as ChatGPT can match—and in some situations outperform—humans as a source of everyday emotional support. However, the advantage depends on the emotional context, and a key ingredient for effective support—offering specific, actionable guidance—can boost the quality …
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In this article, you will learn how agentic AI architecture has evolved by mid-2026, including the shift away from orchestrated reasoning loops, the rise of…
Training API-calling large language model (LLM) agents demands massive amounts of high-quality trajectories. However, collecting such data at scale typically requires fully implemented environments with executable APIs and realistic, pre-populated backend databases, creating a major bottleneck for scalability. To overcome this, we propose an environment-free synthetic data generation approach that leverages LLMs as on-the-fly digital …
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When you fine-tune a model using Supervised Fine-Tuning (SFT), creating high-quality chain-of-thought (CoT) reasoning traces for your training data is often impractical and can be prohibitively expensive. As a result, you might choose to skip reasoning during SFT and train with only inputs and outputs. However, reasoning is a key capability of the Amazon Nova …
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We are living in the golden age of the weekend AI side project. Thanks to agentic engineering and LLMs, the time to go from a blank IDE to a functional local application has dropped from quarters to hours. You can build your wildest ideas over a cup of coffee. But inside an enterprise ecosystem with …
Read more “Why AI apps fail in production (And how Google solved it)”