Google’s ATLAS study reveals how languages help each other in AI training, offering scaling laws and pairing insights for better multilingual models.

With OpenAI's latest updates to its Responses API — the application programming interface that allows developers on OpenAI's platform to access multiple agentic tools like web search and file search ...

Does vibe coding risk destroying the Open Source ecosystem? According to a pre-print paper by a number of high-profile ...

OpenAI’s revenue is rising fast, but so are its costs. Here’s what the company’s economics reveal about the future of AI ...

Security researchers detected artificial intelligence-generated malware exploiting the React2Shell vulnerability, allowing ...

Affordable Technical Education and Skills Development Authority (Tesda)-certified Artificial Intelligence (AI) courses are being offered to Dabawen ...

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%, ...

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 ...

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

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.

Ford apprentices across Dunton and Dagenham are sharing what life is really like inside one of the UK’s most iconic automotive brands.