Improving the academic workflow: Introducing two AI agents for better figures and peer review
Generative AI
A survey carried out by OutSystems, The State of AI Development 2026 [email wall], argues that AI has moved into early manufacturing section for a lot of enterprises, primarily contained in the IT operate. The survey was based mostly on the responses of 1,879 IT leaders, and warns that adoption of AI is in peril…
A brand new open-source toolkit from Microsoft focuses on runtime safety to pressure strict governance onto enterprise AI agents. The launch tackles a rising anxiousness: autonomous language fashions are actually executing code and hitting company networks means sooner than conventional coverage controls can sustain. AI integration used to imply conversational interfaces and advisory copilots. Those…
Exciting occasions are forward on the earth of enterprise perimeter security with a brand new partnership between Thrive Logic, an AI agent-driven security and operational intelligence platform, and Asylon, a security robotics firm. Together, the businesses are to introduce physical AI into the community edge security area, combining “autonomous perimeter patrols with agentic AI analytics…
The failure mode for enterprise AI in 2026 shouldn’t be what most individuals anticipated. It shouldn’t be that the fashions are mistaken, or that brokers can’t purpose, or that the expertise is overhyped. The failure mode is that the data feeding these programs is fragmented, inconsistently labelled, and unfold throughout dozens of functions that had…
The Anthropic UK enlargement story is much less about diplomatic courtship and extra about what occurs when a authorities punishes an organization for having ideas. In late February, US Defence Secretary Pete Hegseth gave Anthropic CEO Dario Amodei a stark ultimatum: take away guardrails stopping Claude from getting used for totally autonomous weapons and home…
Running highly effective AI in your smartphone isn’t only a {hardware} drawback — it’s a mannequin structure drawback. Most state-of-the-art imaginative and prescient encoders are monumental, and if you trim them down to suit on an edge machine, they lose the capabilities that made them helpful within the first place. Worse, specialised fashions are inclined…
In this tutorial, we implement a complicated, sensible implementation of the NVIDIA Transformer Engine in Python, specializing in how mixed-precision acceleration might be explored in a practical deep studying workflow. We arrange the surroundings, confirm GPU and CUDA readiness, try to set up the required Transformer Engine elements, and deal with compatibility points gracefully in…
AI methods are beginning to transfer past easy responses. In many organisations, AI agents at the moment are being examined to plan duties, make choices, and perform actions with restricted human enter. It is not nearly whether or not a mannequin provides the suitable reply. It is about what occurs when that mannequin is allowed…
Writing quick GPU code is among the most grueling specializations in machine studying engineering. Researchers from RightNow AI need to automate it fully. The RightNow AI analysis crew has launched AutoKernel, an open-source framework that applies an autonomous LLM agent loop to GPU kernel optimization for arbitrary PyTorch fashions. The method is simple: give it…