AI News Archive - Browse Page 6 of 160

Why does this matter? Because the preparatory stage—pre‑mediation—often determines whether a negotiation ends in a win‑win or stalls altogether.

Hierarchical language agents often stumble not at the final answer but halfway through, when they choose a path without realizing they’re missing key...

Foundation‑model agents are no longer fleeting chatbots; they’re long‑lived systems that keep track of users across sessions.

Anthropic rolled out Claude Fable 5 on Tuesday, branding it the company’s inaugural “Mythos‑class” model and claiming it outperforms the earlier Opus...

AI tools have slipped from “fun to try” into the fabric of everyday work. Developers now face a menu of options that promises to shave minutes or...

Multimodal large language models can now listen and see, yet the way audio and visual signals travel through their networks remains a mystery.

vLLM has become a go‑to stack for serving large language models in production, thanks to its focus on raw throughput and flexible batching.

Anthropic just rolled out Claude Fable 5, touting it as the most powerful AI model the company has ever made widely available and highlighting its...

The AI‑regulation debate has landed in a room that looks more like a costume party than a policy summit.

Developers building real‑time AI—chat assistants, copilots, agentic workflows—still hit a wall when it comes to token‑by‑token generation speed.

Multimodal learning promises insights that no single sensor can deliver, yet most systems chase bigger fusion nets rather than sharper objectives.

Niteshift, an AI‑coding agent startup, just closed a $7 million seed round. Greylock’s Jerry Chen led the financing, while a roster of angels—Reid...

All the code for this section lives on GitHub, tucked away in src/selection/logit_model_selection.py, with the accompanying analysis in...

Mixture‑of‑Experts layers let transformer models grow without a linear rise in compute, but the usual JAX/MaxText workflow still drops tokens that...

Decart rolled out Oasis 3 on Wednesday, a real‑time world model that can render hours of photorealistic driving scenes.

The AI boom has run on a simple premise: bigger models win, so firms chase the most powerful versions they can afford.

Converting a quantized checkpoint into an NVIDIA TensorRT engine is the missing link between model‑level optimization and real‑world deployment.

Why does this matter? Companies are turning to AI‑enabled tools not just to automate routine work but to shape strategy itself.

According to Futurum Research’s 2025 market overview, 89 % of CIOs now rank agent‑based AI as a top strategic priority for productivity and workflow...

Federated learning (FL) research often starts with a deceptively simple question: what should we try next?