AI Research news and analysis on Web Pulse: 9730 curated articles tracking the latest AI Research developments, tools, and research, updated continuously from vetted sources.
Researchers found that FPGA implementations of ML-KEM decapsulation verification leak side-channel information even with higher-order masking, enabling full secret-key recovery. The study compared unprotected, hash-based…
Goldman Sachs strategists have turned bullish on European equities, citing surging hyperscaler capital expenditure that they now estimate at $754 billion for 2026. The bank argues that European industrial suppliers like …
Invisible Unicode characters in prompts are not a conspiracy but a bug class that allows metadata to ride inside text, indistinguishable from content. These characters can be used as a prompt injection carrier, bypassing…
Alphabet's market capitalization surged by $2 trillion to $4.3 trillion, making it the second-most valuable company globally, driven by investor confidence in its AI capabilities. However, the stock has declined in four …
Researchers are developing new techniques to enhance metacognitive abilities in large language models, including reinforcement learning with metacognitive feedback (RLMF) and metacognitive data selection. RLMF improves m…
A new research framework called CLExEval reveals that large language models like GPT-4o-mini and HuatuoGPT-o1 exhibit significant flaws in clinical reasoning, including verbosity bias, hidden knowledge paradox, and a mis…
Researchers introduced Dual-Embedding Watermarking (DEW), a technique that embeds watermarks in large language models using contextual and token-level embeddings to resist paraphrasing and translation attacks. DEW enhanc…
AutoTrainess, a language model training agent, outperforms traditional CLI methods by automating training workflows, achieving a 26.94 average score on PostTrainBench with GPT-5.4 (Codex) versus 23.21 for baselines, and …
Researchers have identified Mandate Salience Decay (MSD) in large language models used for financial AI, causing them to lose sight of initial behavioral mandates like 'preserve capital' over time. Evaluations of 18 LLMs…
Researchers introduced Latent Ordinal Prototype Alignment (LOPA) and Semantic-Anchored Layer Routing (SALR), a new framework for spoken language assessment that matches the performance of billion-parameter models using a…
A new study introduces the Guided-Retry strategy to reduce AI hallucinations in task-oriented dialogues without retraining models. Tested on models like DeepSeek-R1 and Llama-3, the method cut hallucination rates by up t…
A new AI model using Multi-View Gated Graph Attention Networks achieved 90% accuracy in detecting Alzheimer's disease through spontaneous speech analysis on the ADReSSo dataset. The model integrates semantic, dependency,…
Researchers introduced Triospect, a new AI-text detection framework that improves detection accuracy by 22.3% AUROC and 13% TPR01 on the Humanize-16K dataset, and shows resilience against sophisticated attacks. The frame…
NVIDIA released Nemotron-Labs-TwoTower, an open-weight diffusion language model that separates token representation and denoising into two towers, achieving 2.42× higher generation throughput while retaining 98.7% of the…
Researchers have proposed a new evaluation protocol for speech-to-speech AI that focuses on conversational prosody and rhythm, using over 4000 hours of dyadic English conversations to create matched reference regimes. Th…
A new natural language-to-SQL agent using a semantic-layer-mediated approach achieved 94.15% execution accuracy on the Spider2-snow benchmark, ranking third on the official leaderboard. The system decouples semantic inte…
Researchers introduced LoFa, a new benchmark to evaluate large language models' resistance to logical fallacies, revealing inconsistent robustness across models. The study highlights the risk of deploying AI systems vuln…
Researchers introduced CORTEX, a new method for detecting hallucinations in AI-generated text at the token level within Retrieval-Augmented Generation (RAG) systems. By analyzing internal model representations with and w…
SAS Institute, the analytics pioneer founded 50 years ago, is cautiously adopting AI by focusing on business value rather than hype, with CEO Jim Goodnight expressing skepticism about costly AI applications. The privatel…
Leaders are asking the wrong question about AI by seeking forecasts, when the technology's trajectory is unknowable. Resilience, which aims to restore a prior state, is a losing strategy; instead, organizations must adop…