Atos and Nvidia are collaborating on a new project called Excellence AI Lab (EXAIL) in an effort to bring scientists and researchers together to help advance European computing technologies, education, and research.
The lab's first research projects will focus on five areas in high-performance computing and AI: climate research, healthcare and genomics, hybridization with quantum computing, edge artificial intelligence/computer vision, and cybersecurity.
Atos will develop an exascale-class BullSequana X supercomputer with Nvidia's Grace central processing unit (CPU), Nvidia's graphics processing unit (GPU), Atos BXI Exascale Interconnect, and Nvidia Quantum-2 InfiniBand networking platform.
![A normal mammogram confirmed by three-year radiologic follow-up illustrates reader-marked regions of interest (ROIs) during (A) unaided (round 1) and (B) artificial intelligence (AI)–assisted (round 2) reading. Each colored dot represents an ROI for recall by a human reader. Readers could mark more than one ROI per case, represented by multiple dots of the same color. During AI-assisted reading, the AI system displayed three visible prompts: two with suspicion of malignancy scores of 35% (left mediolateral oblique [L MLO] and craniocaudal [L CC]) and one with a suspicion of malignancy score of 10% (right craniocaudal [R CC]), shown as polygonal overlays. Without AI, six of 10 readers (60%) marked a false-positive ROI. With AI assistance, this fell to two of 10 (20%). R MLO = right mediolateral oblique.](https://img.auntminnie.com/mindful/smg/workspaces/default/uploads/2026/07/2026-07-14-radiology-mammogram-ai-auto-bias.H0bYO8QlWs.jpg?auto=format%2Ccompress&dpr=2&fit=crop&h=167&q=70&w=250)
