Researchers published the results of a study showing how AI search rankings can be systematically influenced, with a high success rate for product search tests that also generalizes to other ...

LLMs tend to lose prior skills when fine-tuned for new tasks. A new self-distillation approach aims to reduce regression and simplify model management. A new fine-tuning technique aims to solve ...

Researchers at UCSD and Columbia University published “ChipBench: A Next-Step Benchmark for Evaluating LLM Performance in AI-Aided Chip Design.” “While Large Language Models (LLMs) show significant ...

Abstract: Code search is essential for code reuse, allowing developers to efficiently locate relevant code snippets. The advent of powerful decoder-only Large Language Models (LLMs) has revolutionized ...

READING, Pa., Jan. 26, 2026 /PRNewswire/ -- Miri Technologies Inc. today unveiled its V410 live 4K video encoder/decoder for streaming, IP-based production workflows and AV-over-IP distribution.

READING, Pa.—Miri Technologies has unveiled the V410 live 4K video encoder/decoder for streaming, IP-based production workflows and AV-over-IP distribution, which will make its world debut at ISE 2026 ...

Versatile device combines user-centric design with deep feature set and flexible format support READING, Pa., Jan. 26, 2026 /PRNewswire/ -- Miri Technologies Inc. today unveiled its V410 live 4K video ...

I'm the baby and kids gear writer, a mom to three and former teacher. From pajamas to heart-themed toys, the best Valentine's Day gifts for kids relate to their interests and show them you care. As ...

The debate around llms.txt has become one of the most polarized topics in web optimization. Some treat llms.txt as foundational infrastructure, while many SEO veterans dismiss it as speculative ...

Attackers are focusing on exposed large language model (LLM) services through two separate campaigns that together mounted nearly 100,000 hits on targeted services. The aim of the attacks, in part, is ...

TOON is a compact, YAML-like format designed to reduce token usage when sending data to LLMs. This package achieves 40-60% token reduction compared to JSON while maintaining full round-trip fidelity.