ROBOMARKET
Stay Informed
Daily coverage from 6152 trusted sources — robotics, AI agents, and industry analysis for the GCC.
Last Updated: 02:00 PM (39m ago)
Auto-refresh every 2 hours
Google is open-sourcing its 3D emoji
Now, if you want to, you can use Google's 3D emoji in your own creations. The company shared some details about how it went about designing the little pictograms and why, as part of World Emoji Day on Friday. Things you might not necessarily worry about in a 2D illustration suddenly become very important when you're talking about a 3D model. Is a smiley face a sphere? A mask? A flat disc? In addition to offering a behind-the-scenes look at Google's design process, it also announced that it would be completely open-sourcing the emoji set: We're handing over raw .OBJ files to the community so they can use them to build immersive VR worlds, … Read the full story at The Verge.
Setting up your spare Mac for Claude Code to control, a step-by-step guide
Comments
Federal employees can download TikTok on their work phones again
The Department of Justice says that federal employees can now download TikTok on their government devices.
Surprise! Facial recognition smart locks are actually good
Facial recognition smart locks are here; now you can unlock your door the same way you unlock your phone. | Photo by Jennifer Pattison Tuohy / The Verge Hands-free unlocking is the future of smart locks. The best smart home tech removes friction, and having your door unlock for you as you walk up is as frictionless as it gets - no passcodes to remember, no need to have a free hand to wave, press, or poke at the lock. One way to achieve this nirvana is through facial recognition. You already unlock your phone with your face; why not your home? Hands-free unlocking using geofencing has been around for a while, but it can be slow and unreliable, and requires an app running in the background on your phone. Newer innovations - facial recognition and unlocking using an ultrawideband (UWB) radio - … Read the full story at The Verge.
GPT-5.6 used a prompt to close a 30-year gap in convex optimization
Comments
Neil Rimer thinks the AI money is coming back out
Neil Rimer, the venture capitalist who co-founded Index Ventures, predicts the historic wealth AI is generating in Silicon Valley will have to be redistributed, voluntarily or involuntarily.
Capital One releases VulnHunter, an open-source AI tool that finds software flaws before hackers do
Capital One on Thursday released VulnHunter, an open-source, agentic AI security tool that scans source code for exploitable vulnerabilities, maps out how an attacker would reach them, and proposes targeted fixes — all before a single line ships to production. The tool, built internally and now available on GitHub under an Apache 2.0 license, is one of the most ambitious attempts by a major financial institution to turn offensive AI capabilities into a public defensive resource.At a time when security teams are facing a rising tide of new AI threats, Capital One s decision to open-source the tool reflects an effort, according to CISO Chris Nims, to address an increasingly brief window before sophisticated, next-generation AI attack capabilities become affordable and accessible to virtually every adversary. Capital One is not simply releasing another vulnerability scanner. VulnHunter introduces what the company calls an attacker-first forward analysis — a workflow in which the tool begi
Intuit scrapped its own AI agent architecture twice in four months. At VB Transform 2026, its AI VP called that the fast path
Intuit was an early pioneer in the usage of agentic AI, but its path to success has hardly been a straight line.At VB Transform 2026, Intuit VP of AI Nhung Ho described how the company rebuilt its agent architecture twice in the span of about four months, first moving from a fleet of specialist agents to a central orchestration layer, then abandoning that layer for a skills and tools based system once the orchestrator itself started failing under its own complexity. The full second rebuild took 60 days, with a first working version in under 20.The failure mode that forced the second rewrite was specific. Agents in the orchestrated system passed results to each other in natural language, and each handoff lost context the next agent needed to act correctly. If you have 10 agents and they all are passing to each other, every time that pass happens, error compounds, Ho said.Why the orchestration layer broke downHo said the original push toward specialist agents came from a straightforward
Drake Anthony Recreates the Mechanical Bulb First Seen in 1675 – TechEBlog
Comments
The Psychology of Software Teams
Comments
Talk: The Art of Braiding Algorithms
Comments
Making Software: How to make a font
Comments