New Technology– category –
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Broadcom Initiates Mass Production of 800G CPO Switch ASICs for Next-Gen AI/HPC Data Centers, Slashing Power and Latency
Photonics News Weekly USA Overview Leading semiconductor manufacturer Broadcom has commenced mass production of its 800G Co-Packaged Optics (CPO) switch ASICs, specifically designed for AI and HPC data centers. This innovative ASIC integ... -
Fujitsu: Explosive Growth of AI Workloads Redefines Semiconductor Industry, Increasing Importance of Silicon Interposers and Next-Gen Thermal Materials
Fujitsu Global Japan Overview Fujitsu states that the explosive growth of AI workloads is fundamentally redefining the semiconductor industry. The article emphasizes the increasing importance of advanced packaging technologies and materi... -
University of Tennessee Secures $20M NSF Grant for ‘ATHENA’ AI-Driven Materials Lab, Poised to Accelerate Material Characterization by 30x
AI Loop USA Overview The University of Tennessee has secured a $20 million National Science Foundation (NSF) grant to establish 'ATHENA,' a new AI-driven materials lab specializing in nanoscale and atomic-scale research. As a key hub in ... -
Unlocking Real-World Performance: Thermodynamics-Based ML for Energy Material Discovery
arXiv Overview A new perspective article advocates for 'thermodynamics-based machine learning' to overcome the zero-temperature limitations of current AI models in energy material discovery. By integrating crucial factors like entropy an... -
New Ontology Proposed to Standardize Machine Learning Interatomic Potentials (MLIPs), Boosting Reproducibility and Comparability
arXiv Overview An arXiv preprint introduces the 'MLIPs ontology,' an OWL 2 DL framework designed to systematically describe Machine Learning Interatomic Potentials (MLIPs), their hyperparameters, and training/benchmarking data. By standa... -
South China University of Technology and Xi’an Jiaotong University Introduce ‘HULU’ to Accelerate Clean Energy Material Discovery
EurekAlert! China Overview Researchers from South China University of Technology and Xi'an Jiaotong University have developed 'HULU,' a flexible Python framework integrating advanced Machine Learning Potentials (MLPs) with Monte Carlo ad... -
University at Buffalo Secures DOE Genesis Grants to Accelerate AI and Quantum Technology Research in Carbon-Based Fuel Catalysts and Quantum Materials
University at Buffalo (UB) RENEW (Department of Energy Genesis Mission grants) USA Overview University at Buffalo (UB) researchers secured three DOE Genesis mission grants focused on AI and quantum technology. One project, "CLEAR-AI," is... -
Integrated Modeling Framework Proves Effective for Liquid Electrolyte Design, Bioengineer.org Publishes Reusability Report
Bioengineer.org Overview A reusability report by Bioengineer.org evaluates a unified machine learning framework for liquid electrolyte formulation design. This framework integrates molecular structure representation and composition-level... -
Forbes Reports LAM Research and Applied Materials Enhance Semiconductor Manufacturing Productivity by up to 35x with AI Integration; Synopsys, Siemens, and NVIDIA Strengthen Collaboration
Forbes USA Overview Forbes highlights how leading semiconductor firms like LAM Research and Applied Materials integrate AI to boost design and manufacturing productivity. LAM's "Semiverse" and Applied Materials' "Ai^x" leverage AI and di... -
AI-Powered Simulations Unlock Next-Gen Battery Design: How MLIPs Bridge the Gap Between DFT and Classical MD
ResearchGate Overview A recent review highlights how Machine Learning Interatomic Potentials (MLIPs) are effectively addressing persistent challenges in computational materials science for battery development. By bridging the gap between...
