Loop engineering, a new phrase circulating among AI developers, is becoming a way to describe how software teams are trying to get more value from coding agents: not by writing better one-off prompts, ...

As I spend the early part of the summer talking about the Tour de France with normal people (read: non-cycling fans), there’s ...

Looped language model training cannot control hidden-state norm growth because RMSNorm normalizes scale away before the loss ...

Open-source agentic coding model Ornith-1.0, released today under the MIT license, uses a self-improving reinforcement ...

A study published in Nature Physics provides new molecular-level evidence from simulations that liquid water is not a single uniform substance, but a constantly shifting mixture of two distinct ...

Abstract: This article investigates the observer-based human-in-the-loop (HiTL) optimal output cluster synchronization control problem for nonlinear multiagent systems (MASs). First, the leader is ...

New AI-powered intelligence layer, developed in strategic partnership with Lift AI, completes the AXi Intelligence Suite - enabling brands to predict, simulate, prioritize, optimize and continuously ...

Loop engineering is the hottest new trend in AI. You devise loops for use of agentic AI and also for using conventional ...

Microsoft's SkillOpt brings deep-learning discipline to AI agent skills, replacing manual prompt tweaking with mathematically validated text optimization.

Yield ramp has always been a concern in semiconductor manufacturing: systems companies need confidence that devices meet quality targets before shipment, and chipmakers need to reach yield entitlement ...

Co-authored by Nigel Bairstow, Ph.D., and Salman Majeed, Ph.D. In a rapidly changing educational space today, classrooms must not only focus on knowledge acquisition but also help their students in ...