aiqbench analysis
This NSF-funded project at Caltech utilizes AI agents and automated microcrystal electron diffraction to remotely determine 3D structures for millions of unknown molecules, effectively creating a "cloud laboratory" that scales structural biology discovery. By integrating advanced data analysis with remote experimentation capabilities, the initiative aims to map chemical dark matter on a scale comparable to the Human Genome Project.
AI will run experiments remotely in new Caltech lab
Caltech’s Hosea Nelson leads a team awarded $17 million by the NSF to build an automated “cloud laboratory,” enabling scientists and AI agents to conduct experiments remotely and explore “chemical dark matter.” The lab will analyze, store data online.
A $17 million grant from the National Science Foundation will fund a Caltech team led by professor Hosea Nelson to build ELECTRA, an automated and remotely accessible laboratory. The facility will employ microcrystal electron diffraction and artificial intelligence to determine the 3D structure of millions of molecules, structures Nelson refers to as mirroring the vast unknowns of dark matter in the universe. “ELECTRA represents a bold move in accelerating scientific discovery,” says Caltech President Ray Jayawardhana, envisioning a resource that will…
Excerpt shown under the publisher's RSS terms · 81 words · full text and figures are on the publisher's site
Related coverage
Northwestern Proves Quantum Internet Can Share Existing Telecom Fiber Over 15 Miles at 94 % Fidelity
techtimes.com · Jul 26, 2026
Brief independent investigation of agents’ behavior, reasoning and collaboration in the OpenAI / Hugging Face hacking incident
METR · Aug 26, 2026
Performance Profiling on AMD GPUs – Part 5: Profiling-Driven Kernel Optimization with an AI Code-Assist Tool
AMD · Jul 16, 2026
Purdue Nuclear Reactor Test Demonstrates Remote, Automated Power Control
powermag.com · Sep 23, 2026