Dell and NVIDIA host AI developer meetup in Bengaluru on deployment trade‑offs
Dell and NVIDIA have converged on Bengaluru for a hands‑on gathering aimed at the engineers and managers who are turning AI prototypes into production‑grade services.
Academic research, performance benchmarks, scientific breakthroughs, and peer-reviewed studies advancing AI frontiers.
Dell and NVIDIA have converged on Bengaluru for a hands‑on gathering aimed at the engineers and managers who are turning AI prototypes into production‑grade services.
OpenAI’s latest benchmark, the FrontierScience test, pits its newest model, GPT‑5.2, against a suite of research‑oriented problems that demand more than quick fact‑checking.
Robotaxi developers have long wrestled with the gap between virtual testing and real‑world performance.
Why does a single audio collection matter when the field is flooded with text‑heavy benchmarks? The answer lies in the practical gap between reading and hearing.
Why does this matter? Because two of Italy’s biggest telecoms have moved from isolated chatbots to a coordinated AI workflow that actually handles end‑to‑end service tasks.
The latest roundup of the “Top 10 AI Models For Web Development in 2025” spots GPT‑5.2 Thinking as the most ambitious entry.
YouTube has become a go‑to classroom for anyone wanting to keep up with AI, yet the sheer volume of tutorials can feel overwhelming.
Why does the old build‑vs‑buy argument matter now? For years, tech leaders measured AI projects against glossy vendor decks and analyst hype, treating the decision as a binary choice.
Google and MIT researchers have just released a paper that puts a spotlight on a subtle flaw in today’s push toward ever‑larger collections of AI agents.
Developers have long chased the illusion of a seamless conversation, dressing language models with elaborate backstories and feeding them narrowly curated datasets.
Why does a modest tweak to training matter? While the model’s architecture stays the same, AI2 has pushed Olmo 3.1 through a longer reinforcement‑learning loop, aiming for deeper reasoning.
Pangram’s latest release, the 3.0 AI text detector, promises a headline‑grabbing 99.98 % accuracy—even when the input has only faint AI fingerprints.