Commonwealth Fusion Systems

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Puget Systems partners with Comino to bring more affordable liquid cooled dual-CPU, 8-GPU systems to the masses

Comino Grando Server delivers extreme GPU performance for deep learning tasks High-speed Micron DDR5 memory powers AI, research, and rendering workloads Optimized for air-cooled and water-cooled environments,

AI hardware 7month
Quantinuum Selected as a Founding Collaborator for NVIDIA Accelerated Quantum Research Center

Quantinuum's full-stack capability, including System H2, the most powerful quantum computer in the world, unlocks the value of AI

How the U.S. is losing ground to China in nuclear fusion, as AI power needs surge

For decades, the U.S. has led the race to clean, limitless nuclear fusion energy. Now China is catching up, spending twice as much and building projects faster.

Powerfleet Launches Unity's AI-Driven In-Warehouse Solutions in partnership with TELUS, Unlocking Major Growth Potential

Powerfleet (Nasdaq: AIOT), a global leader in the artificial intelligence of things (AIoT) software-as-a-service (SaaS) mobile asset industry, announces the launch of advanced Unity in-warehouse solutions through its TELUS partnership,

D-Wave (NYSE: QBTS), Staque Develop Hybrid Quantum Application to Optimize Autonomous Agriculture Vehicles

Austin, Texas, United States, March 8th, 2025, FinanceWire The companies expect the application to accelerate autonomy in agriculture,

CT coalition forms to develop and study artificial intelligence. See who joined it.

The Connecticut AI Alliance represents a significant milestone in our state's technology landscape," said Vahid Behzadan, co-founder.

AI hardware 8month
Deep learning model boosts plasma predictions in nuclear fusion by 1,000 times

A research team, led by Professor Jimin Lee and Professor Eisung Yoon in the Department of Nuclear Engineering at UNIST, has unveiled a deep learning-based approach that significantly accelerates the computation of a nonlinear Fokker-Planck-Landau (FPL) collision operator for fusion plasma.

Deep Learning 8month
Deep Learning Model Amplifies Plasma Predictions 1,000x

Abstract The nonlinear collision operator consumes a significant amount of computation time in tokamak whole-volume modeling, and in current numerical

Deep Learning 8month