Categories: AI/ML Research

Expert-Level Feature Engineering: Advanced Techniques for High-Stakes Models

Building machine learning models in high-stakes contexts like finance, healthcare, and critical infrastructure often demands robustness, explainability, and other domain-specific constraints.
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Musk v. Altman Evidence Shows What Microsoft Executives Thought of OpenAI

Leaders at the tech giant were skeptical of OpenAI—but wary of pushing it into the…

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Inspired by the brain, researchers build smarter and more efficient computer hardware

As traditional computer chips reach their physical limits and artificial intelligence demands more energy than…

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SpecMD: A Comprehensive Study on Speculative Expert Prefetching

Mixture-of-Experts (MoE) models enable sparse expert activation, meaning that only a subset of the model’s…

23 hours ago

Cost effective deployment of vision-language models for pet behavior detection on AWS Inferentia2

Tomofun, the Taiwan-headquartered pet-tech startup behind the Furbo Pet Camera, is redefining how pet owners…

23 hours ago

Pioneering AI-assisted code migration: How Google achieved 6x faster migration from TensorFlow to JAX

AI coding agents are rapidly becoming ubiquitous across the software industry, fundamentally changing how developers…

23 hours ago