There are three critical areas where companies most often go wrong: data preparation and training, choosing tools and specialists and timing and planning.

Speechify's Voice AI Research Lab Launches SIMBA 3.0 Voice Model to Power Next Generation of Voice AI SIMBA 3.0 represents a major step forward in production voice AI. It is built voice-first for ...

Dead languages aren't as unimportant as they seem, because learning Latin, Sanskrit and Ancient Greek will make coding easier ...

Bruno, Fx, ActivityWatch, DDEV, and TLDR Pages are all dev tools that you should try out because they're much better than ...

Anthropic's Claude Sonnet 4.6 matches Opus 4.6 performance at 1/5th the cost. Released while the India AI Impact Summit is on, it is the important AI model ...

AI safety tests found to rely on 'obvious' trigger words; with easy rephrasing, models labeled 'reasonably safe' suddenly fail, with attacks succeeding up to 98% of the time. New corporate research ...

Discover seven practical Windows 11 AI features for 2026, from Copilot and Live Captions translation to Recall, Studio ...

The European Parliament disabled built-in AI features on lawmakers’ work devices, citing unresolved cloud-processing security ...

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

Overview:Practical projects can help you showcase technical skill, programming knowledge, and business awareness during the ...

Sasha Stiles turned GPT-2 experiments into a self-writing poem at a Museum of Modern Art installation—and a new way to think about text-generating AI optimization ...

Meta has quietly launched its $2 billion acquisition, Manus, as an autonomous AI agent on Telegram. Discover how this "action engine" builds apps, analyzes data, and browses the web for you.