As part of the Massachusetts AI Hub initiative announced in December 2024, MGHPCC is soliciting RFP responses for an initial AI/ML compute resource.
As part of the Massachusetts AI Hub initiative announced in December 2024, MGHPCC is soliciting RFP responses for an initial AI/ML compute resource.
Quantum and classical annealing? Transkingdom gut dysbiosis in metabolic dysfunction-associated steatotic liver disease? Containerized Climate Raster Information Extraction? A selection of recent publications featuring research using the MGHPCC.
Superconducting Qubits? Ethnicity-Specific Recessive Loci? Fabrication of hydroxylated norbornene foams? A selection of recent publications featuring research using the MGHPCC.
BU Professor Ayse Coskun is pioneering AI-driven, grid-responsive data center innovation.
Massachusetts Governor Maura Healey outlines the role of government in supporting innovators and entrepreneurs, particularly in the AI age
Topological Photonics? Vanishing Drude Weight? Improving Tandem Fluency? A selection of recent publications featuring research using the MGHPCC.
Using their Discovery Cluster at the MGHPCC, a team of Northeastern researchers think they’ve found a way to make biomolecular labeling safe for live cells by harnessing the power of “click chemistry.”
Academia, industry, and government unite at MGHPCC to drive HPC
Event features featured speakers from leading research and education institutes across the region.
State announces funding for AI projects in Boston and Western Mass, new director for Massachusetts AI Hub
By using MGHPCC, WPI will save on campus electricity costs and spend less on expanding campus high performance computing infrastructure.
Bivariate bicycle codes? Anthropogenic emission change scenarios? Learned-models in human-robot interaction? A selection of recent publications featuring research using the MGHPCC.
Mass Live article reports the many developments afoot at the MGHPCC.
Tunable superconductivity? Hydrogen deployment in net-zero energy systems? Environmental drivers of spatial variation in tropical forest canopy height? A selection of recent publications featuring research using the MGHPCC.
The findings from MIT mathematicians could help planners design safer, more efficient pedestrian thoroughfares.
Detecting chaos in classical systems? Incomplete discrete choice models? The learnability of knot invariants? A selection of recent publications featuring research using the MGHPCC.
Through innovative partnerships at the MGHPCC, Yale is bolstering its research infrastructure.
