This category is about AI for Science and Discovery
Data-driven diagnosis CPS forever! Most diagnostic tools need a “digital twin” or a massive library of “how it looks when it breaks.” But what if you don’t have that? The researchers proposed a system that only requires: On my Ubuntu rig, I set out to see if my dual RTX 4080s could identify root causes in a simulated water … Read more
One of the most human-like traits is the ability to see a new object once and recognize it forever. Standard Deep Learning sucks at this—usually, it needs a mountain of data. That’s why the paper “Unlocking Smarter AI: How Learning Conditional Class Dependencies Boosts Few-Shot Classification” (arXiv:2506.xxxxx) caught my eye. The authors argue that instead of looking … Read more
After spending weeks obsessing over scaling laws and raw TFLOPS, I decided it was time to move up the stack. It’s one thing to have a powerful model; it’s another to have an Agent that knows how to use it. I took the architecture described in my recent overview of AutoMind AI Agent — an adaptive agent for automated … Read more