Articles about Discovery

• Eli Lilly announced a collaboration with Nvidia to establish a co-innovation AI lab combining computing power with scientific expertise for faster drug discovery. • The partnership targets AI applications in identifying drug candidates, optimizing clinical trials, and reducing failure rates in biotech development. • This non-tech firm's AI push exemplifies how pharma giants are leveraging partnerships to lead in AI-driven innovation beyond traditional tech sectors.

• The U.S. Department of Energy's Genesis Mission, led by Dr. Dario Gil (formerly IBM senior vice president), is deploying AI supercomputing infrastructure to transform American science and engineering across fusion, energy, and national security. • Argonne National Laboratory will deploy approximately 10,000 state-of-the-art GPUs this year via Nvidia and Oracle, with a comparable AMD-HPE cluster launching at Oak Ridge National Laboratory in Tennessee, and a planned 100,000-GPU cluster at Argonne in 2027. • The mission aims to produce 50 to 100 comparable breakthroughs across all scientific domains within three to five years, creating a durable platform of AI supercomputers and next-generation quantum computers for the scientific community.

The Trump administration announced the Genesis Mission on March 13, 2026, aiming to leverage AI and emerging technologies across energy, drug discovery, national security, and science in the US. Key ambitions include quantum computing advances, expanding the trained technical workforce, and delivering a new supercomputer blueprint by the end of 2026, with involvement from Dell CEO Michael Dell and Energy Department officials. This initiative ties AI policy to tangible outcomes like energy systems and defense, creating opportunities for startups in scientific AI and industrial software. Federal investments in compute and national labs are expected to boost US competitiveness against global rivals.