FAYETTEVILLE, GA, UNITED STATES, December 31, 2025 /EINPresswire.com/ — Artificial intelligence (AI) is increasingly transforming computational mechanics, yet many AI-driven models remain limited by ...

Morin, L.R.M. (2026) Conjecture on Cosmological Redshift: Action Instead of Velocity, No Need for Dark Energy. Journal of ...

By allowing models to actively update their weights during inference, Test-Time Training (TTT) creates a "compressed memory" ...

Cerebras’ giant chip and other advances in 2025 reflect a post-Moore’s-law shift toward parallel computing and broader AI accessibility.

Scientists discover water that's solid and liquid. Superionic ice found in lab could explain Uranus and Neptune's bizarre ...

A clear-eyed look at the $800 billion returns cycle: how it formed, where it fails, and what retailers must fix to prevent ...

Lithium is moving again. Prices are up, confidence is building, and capital is flooding back. Is this the start of the next ...

Anti-forgetting representation learning method reduces the weight aggregation interference on model memory and augments the ...

For three decades, India’s information technology (IT) story and Bengaluru’s have relied on a simple equation: the global ...

Fruchter, G. (2026) Opportunism in Supply Chain Recommendations: A Dynamic Optimization Approach. Modern Economy, 17, 26-38.

Linear and logistic regression models are essential tools for quantifying the relationship between outcomes and exposures. Understanding the mathematics behind these models and being able to apply ...