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.

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 ...

AMD is hiring a Senior AI/ML Lead in Hyderabad to lead the design, development, deployment, and optimization of AI/ML ...

On SWE-Bench Verified, the model achieved a score of 70.6%. This performance is notably competitive when placed alongside significantly larger models; it outpaces DeepSeek-V3.2, which scores 70.2%, ...

Overview AI hiring in India is rising as companies shift from testing AI to daily use.Skills like Python, Generative AI, and MLOps now matter more than pure the ...

Robin Rowe talks about coding, programming education, and China in the age of AI feature TrapC, a memory-safe version of the ...

Hands-on learning is praised as the best way to understand AI internals. The conversation aims to be technical without ...

AS Tanzania races toward a digital economy, investment in digital skills is emerging as a critical proving ground for the ...

Something extraordinary has happened, even if we haven’t fully realized it yet: algorithms are now capable of solving ...

South Korea’s authorities are continuing to crack down on cybercrime this 2026, with its Financial Supervisory Service ...

The agent acquires a vocabulary of neuro-symbolic concepts for objects, relations, and actions, represented through a ...

New benchmark shows top LLMs achieve only 29% pass rate on OpenTelemetry instrumentation, exposing the gap between ...