Adaptive Biotechnologies: 2026 Is The Durability Test, Not The Hype Cycle

Adaptive Biotechnologies Corporation is rated Hold as MRD segment momentum offset by competitive & valuation concerns. Read ...

How AI coding agents work—and what to remember if you use them

At the core of every AI coding agent is a technology called a large language model (LLM), which is a type of neural network ...

Mindmachines.com Announces Enhanced RoshiWave Technology for High Tech Meditation and Brainwave Optimization

Mindmachines.com has announced significant enhancements to its RoshiWave IN-SIGHT Mind Machine, incorporating advanced brainwave disentrainment technology designed to help users achieve deep ...
InfoQ

Meta Details GEM Ads Model Using LLM-Scale Training, Hybrid Parallelism, and Knowledge Transfer

Meta released details about its Generative Ads Model (GEM), a foundation model designed to improve ads recommendation across ...

FICO: Direct Licensing Will Drive Growth

Despite a 65x TTM valuation, FICO's direct licensing model and minimal CapEx support robust EPS growth and bottom-line expansion. Debt-funded buybacks and high leverage pose risks, but fixed-rate debt ...
IEEE

Dual Cross-Attention Transformer Networks for Temporal Predictive Modeling of Industrial Process

Abstract: Industrial predictive modeling plays an important role in process control and optimization. Industrial process data arisen in the real-world applications often involves nonlinear and ...
IEEE

Multi-Phase Degradation Modeling Based on Uncertain Random Process for Remaining Useful Life Prediction Under Triple Uncertainties

Abstract: Due to abrupt changes in the intrinsic degradation mechanism or shock from external environmental pressure, degradations of some equipment are characterized by multi-phase and jumps.
Microsoft

Revisiting pre-trained remote sensing model benchmarks: resizing and normalization matters

Research in self-supervised learning (SSL) with natural images has progressed rapidly in recent years and is now increasingly being applied to and benchmarked with datasets containing remotely sensed ...