Putting more AI processing into a pair of glasses or a smartphone creates a problem that faster silicon alone cannot solve: the heat has to go somewhere. xMEMS Labs is moving its solid-state micro-cooling technology into mass production, targeting devices too thin for a conventional fan and small data center components that need airflow close…
A last-minute sick call can turn a small business owner’s morning into a search for someone to cover the shift. Homebase is making that everyday scramble a central use case for Homebase Assistant, a new AI offering announced on October 20 that is designed to take on administrative work for hourly teams. The launch targets…
A last-minute sick call can turn a small business owner’s morning into a search for someone to cover a shift. Homebase is making that familiar problem a central use case for Homebase Assistant, a new AI offering designed to take on staffing, hiring, timecard checks, and labor-cost monitoring for hourly teams. Announced on October 20,…
AI agents are moving beyond generating suggestions to editing files, running commands, and working through connected business tools. For security teams, the resulting question is increasingly operational: what did an agent actually do, under whose authority, and can the next risky action be stopped? Asymptote Labs is building infrastructure around that problem and has announced…
Andreessen Horowitz is leading the Series A in Eka Robotics, a physical AI startup developing a Vision-Force-Action model for robotic manipulation, the venture firm said in an announcement on October 20, 2026. The post, authored by partner Yoko Li and managing partner Raghu Raghuram, lays out Eka’s approach to dexterous manipulation and the firm’s rationale…
AI is often presented as a way to make decisions more objective: remove human judgment, the thinking goes, and you remove human bias. A growing body of research refutes this. AI systems learn from human history. They are trained on our decisions, our language, our institutions and, inevitably, our blind spots. When those systems screen…
Self-supervised learning creates training targets from the structure of unlabeled data, allowing models to learn representations at enormous scale without manual labels for every example. This guide explains the mechanism, trade-offs, evaluation, and controls that matter in practice.
AI can help a team build a new product feature in hours. Finding out whether people actually want it can still take weeks. Vectorial is betting that human behavior models can narrow that gap, and has raised $3 million in seed funding to put simulated audiences inside the product development process. The San Francisco company…
Contributors to the llm-d project announced llm-d 1.0, a Kubernetes-native distributed inference serving stack, on October 20, 2026, at the PyTorch Conference North America, according to an IBM Research announcement. IBM said the release moves llm-d beyond demonstrating individual performance techniques and is meant to help organizations bring model deployment in-house as inference costs rise….
AGCO and Agility Robotics have signed a commercial agreement to bring Digit humanoid robots into AGCO’s manufacturing operations, the companies announced in a joint press release on October 20, 2026. The U.S. pilot is expected to begin in 2027 at AGCO’s production facility in Hesston, Kansas, and will support AGCO’s efforts to create more flexible,…