Why reinforcement learning plateaus without representation depth (and other key takeaways from NeurIPS 2025) ...
AI delivers value by transforming data into usable intelligence—supporting capabilities such as real-time analytics, anomaly detection, predictive maintenance, and automated decision-making. Meanwhile ...
Establishing a New Professional Standard for AI in Animal Health; Now Available for Public Download MIAMI, FL, UNITED ...
As of, 2026, California’s AB 325 fundamentally reshapes the legal landscape for algorithmic pricing. By explicitly ...
Helping organizations deploy artificial intelligence safely, compliantly, and with confidence AI has enormous potential ...
CHICAGO, IL, UNITED STATES, January 13, 2026 /EINPresswire.com/ -- Igenbio today announced that ERGO™ 2.0, its flagship ...
From Dolce & Gabbana condos to multigenerational estates designed for aging in place, real estate pros reveal what wealthy ...
Precision Solutions for Semiconductors and Electronics The semiconductor industry represents the pinnacle of precision manufacturing. As components continue to shrink, the difficulty of inspection ...
A new technical paper titled “LongSight: Compute-Enabled Memory to Accelerate Large-Context LLMs via Sparse Attention” was published by researchers at Cornell University. “Large input context windows ...
The deployment of Spiking Neural Networks (SNNs) on resource-constrained edge devices is hindered by a critical algorithm-hardware mismatch: a fundamental trade-off between the accuracy degradation ...
Abstract: Topology optimization (TO) emerges as a pivotal technique in engineering design, which aims at optimizing material distribution within given design spaces. TO often presents large-scale ...
A new technical paper titled “Hardware Acceleration of Kolmogorov-Arnold Network (KAN) in Large-Scale Systems” was published by researchers at Georgia Institute of Technology, National Tsing Hua ...
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