Microsoft's Phi-4-reasoning-vision-15B uses careful data curation and selective reasoning to compete with models trained on ...

In high-stakes settings like medical diagnostics, users often want to know what led a computer vision model to make a certain prediction, so they can determine whether to trust its output. Concept ...

A serial entrepreneur, Jeremy Tang’s discipline shows up in how Area Ten approaches search today, not as a one-off campaign effort, but as an operational system for sustaining clarity and consistency ...

Choosing the right method for multimodal AI—systems that combine text, images, and more—has long been trial and error. Emory ...

A restaurant chain I work with recently invested six figures in AI tools to speed up their reporting. Within weeks, managers could pull sales data, labor reports and food cost summaries in seconds ...

AI didn't just create new attack surfaces. It fundamentally changed who—and what—is requesting access in your environment. Zero Trust needs an upgrade for a world where autonomous agents outnumber ...

Late in 2025, we covered the development of an AI system called Evo that was trained on massive numbers of bacterial genomes. So many that, when prompted with sequences from a cluster of related genes ...

Recalls can sound scary, but a lot of the time, the root cause isn’t the automaker – it’s a part from an outside supplier.

Stop hiring armies of full-time staff for every AI trend; use specialized "bolt-on" teams to build your tech, then scale back ...

Ten AI concepts to know in 2026, including LLM tokens, context windows, agents, RAG, and MCP, for building reliable AI apps.

AI can help build surprisingly capable apps—if you know how to steer it in the right direction. Follow my tips to save yourself time and frustration.

Most AI projects are technically great but commercially flat; you can stop wasting millions by focusing on how the tech ...