Physical AI is not merely a product feature. It is an architectural shift. When intelligence lives next to the phenomenon it observes, we gain what the cloud alone cannot consistently provide: low ...

Use the vitals package with ellmer to evaluate and compare the accuracy of LLMs, including writing evals to test local models.

Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and data preprocessing. If you''ve ever built a predictive model, worked on a ...

From deep research to image generation, better prompts unlock better outcomes. Here's the step-by-step formula.

New Analyst Studio capabilities—including SpotCache and agent-augmented data modeling—transform how data teams profile, mash up, and secure data for the next generation of AI workloadsMOUNTAIN VIEW, ...

Zyphra today announced the release of ZUNA, the company's first foundation model trained on brain data. ZUNA significantly ...

Google DeepMind has been tinkering with Lyria for a while now, offering limited access in developer-oriented products like Vertex AI. Lyria 3 is more capable than previous versions, and it’s also ...

DuckDuckGo is offering its own voice AI chat feature built using OpenAI models, all for free, and with no data tracking at ...

In an era of seemingly infinite AI-generated content, the true differentiator for an organization will be data ownership and ...

To move its own pieces, a motorized mechanism beneath the board guides an electromagnet along the underside. When activated, ...

Microsoft AI CEO Mustafa Suleyman predicts most white-collar tasks could be automated within 12–18 months, intensifying the ...

Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...