Print Join the Discussion View in the ACM Digital Library The mathematical reasoning performed by LLMs is fundamentally different from the rule-based symbolic methods in traditional formal reasoning.

Discusses Preliminary Financial Results, Churn Impact, and Strategic Progress in Key Verticals February 3, 2026 8:00 AM ...

As sensor data overwhelms the cloud, Innatera’s neuromorphic chips bring always-on, ultra-low-power AI directly to the edge. But how?

That's the audience that the London Business School is targeting with a new one-year MBA program. Unlike a traditional ...

Hackers are increasingly targeting macOS users with social engineering and infostealers, Microsoft warns.

Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression with pseudo-inverse training implemented using JavaScript. Compared to other training techniques, such as ...

In order to explore the medication rules of Shang Han Lun, this article conducted complex network analysis and cluster analysis on the 112 prescriptions in Shang Han Lun. Statistical and network ...

Practice smart by starting with easier problems to build confidence, recognizing common coding patterns, and managing your ...

Abstract: Q-learning and double Q-learning are well-known sample-based, off-policy reinforcement learning algorithms. However, Q-learning suffers from overestimation bias, while double Q-learning ...

JIT compiler stack up against PyPy? We ran side-by-side benchmarks to find out, and the answers may surprise you.

A complete Python project for parallel multi-agent reinforcement learning with PettingZoo environments. Ray-based distributed execution for parallel speedup. Efficient parallel actor rollout ...

Background Suicide rates have increased over the last couple of decades globally, particularly in the United States and among populations with lower economic status who present at safety-net ...