AI & Machine Learning– category –
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arXiv Paper: Novel Method Distills Latent Electrostatics from Foundation Machine Learning Interatomic Potentials, Enhancing Born Effective Charge and IR Spectra Calculation Efficiency
arXiv (physics.comp-ph) International Overview An arXiv paper presents a novel method for extracting explicit electrostatics from foundation machine learning interatomic potentials (MLIPs) using Latent Ewald Summation (LES). By training ... -
NIH-Funded Study: AI Tool ‘ApexGo’ Accelerates Antibiotic Development, 68% of Optimized Peptides Show Enhanced Efficacy
National Institutes of Health (NIH) USA Overview NIH-funded researchers developed ApexGo, an AI tool that suggests modifications to existing peptides to improve their antibacterial effects, potentially accelerating new antibiotic develop... -
arXiv Paper: Looped World Models (LoopWM) Achieve 100x Parameter Efficiency, Resolving Fidelity-Cost Tension in Long-Horizon AI Simulation
arXiv (cs.LG) International Overview Researchers have introduced Looped World Models (LoopWM), the first looped architectures for world modeling that resolve the tension between faithful long-horizon simulation and deployment costs. Loop... -
arXiv Preprint ‘ThousandWorlds’ Introduces New Benchmark for AI Climate Emulation of Potentially Habitable Exoplanets
Astrobiology International Overview An arXiv preprint introduces "ThousandWorlds," a new benchmark for evaluating machine learning models designed for climate emulation of potentially habitable exoplanets. This initiative provides a stan... -
AI Data Center Market to Hit $21-49 Billion by 2026, Power Supply Emerges as Critical Constraint
Digital Applied USA Overview The data center market is projected to grow to $620 billion by 2029 from $416 billion in 2024, with the AI segment expanding over 25% annually to $21-49 billion by 2026. Power demand has become a critical con... -
Deep Learning Framework Improves Doppler Shift Modeling in Radial-Velocity Data Under Stellar Activity Towards Earth-Mass Exoplanet Detection
arXiv (via Astrobiology) International Overview A new deep-learning framework aims to improve the detection of Earth-mass exoplanets by accurately modeling Doppler shifts in radial-velocity data, even in the presence of stellar activity.... -
Liquid Cooling Becomes New Standard for AI Data Centers as 100kW+ High-Density Servers Push Air Cooling to Its Limits
MEP Academy USA Overview Modern AI servers, with multiple GPUs, are consuming 10, 20, or even over 100 kilowatts, drastically increasing data center cooling demands. Traditional air cooling is reaching its capacity limits for these high-... -
Autonomous AI Agents Execute Enterprise Workflows, Human-in-the-Loop Essential for High-Risk Decisions
Zamp Blog USA Overview Autonomous AI agents are software systems designed to independently perceive, reason, plan, act across real systems, and self-correct to achieve specific goals, adapting to dynamic enterprise workflows. While these... -
University of Phoenix Research Introduces 16-Stage Human-Centered AI Framework to Optimize Online Student Success
PR Newswire USA Overview University of Phoenix researchers have published a 16-stage framework in the International Journal for Educational Media and Technology, integrating generative AI and predictive analytics for comprehensive online... -
AMD Instinct MI350 Series GPUs Achieve 3.5x Generational Gain on Llama 2-70B and Competitive LLM Training Performance Against NVIDIA B200 in MLPerf Training 6.0
AMD USA Overview AMD has announced its MLPerf Training 6.0 results, showcasing a 3.5X generational performance gain on Llama 2-70B and competitive performance against NVIDIA B200 for LLM training workloads with its Instinct MI350 Series ...
