A new arXiv study (2608.28978v1) finds that a graph-based memory framework for long-term LLM agents underperforms a flat vector baseline on the LongMemEval benchmark, with token F1 of 0.417 versus 0.4…
Researchers presented an LLM-agent framework for cross-tissue protein co-abundance analysis, applied to 820 pairwise combinations of 41 human tissues and fluids, identifying 1,833 conserved clusters a…
A new arXiv paper argues that machine-checkable proof verification, exemplified by OpenAI's May 2026 counterexample to the Erdős unit distance conjecture and an August 2026 corpus of ten results with …
Researchers developed a feed-forward attention mechanism integrated with a Long Short-Term Memory network (FAM-LSTM) for multi-step grape berry temperature forecasting, achieving mean absolute errors …
Researchers introduced the Frequency Selective Neural Network (FSNN), a new foundation architecture for time-series learning that embeds signal processing mathematics into its topology to achieve phys…
Researchers proposed AGEDR, a disentangled representation learning framework that uses Attributes-based Gaussian Estimation and Attribute Mapping Embedding modules to improve fairness and interpretabi…
A new arXiv preprint (2608.29028v1) finds that multi-agent LLM handoffs cause 'summary collapse,' where boundary metadata governing data use is lost while operational facts survive, leading to privacy…
A new benchmark, ICWBench, shows that none of 14 frontier proprietary and open-source LLMs can reliably follow in-context watermarking instructions while maintaining answer quality. Researchers propos…
Researchers propose EmoLASP, a framework combining language models with Answer Set Programming to predict VAD scores in conversations, improving performance over using language models alone on the IEM…
Researchers propose ProGAP, a transferable graph purification scheme that uses vulnerability-aware graph prompt learning to bridge adversarial defense knowledge across domains, improving robustness of…
Researchers propose EviAnchor, a training-free framework that reduces hallucinations in large vision-language models by preserving and reactivating visual evidence during generation, achieving consist…
Researchers introduced Agent2UCB, an agentic system for Generative Engine Optimization (GEO) that autonomously improves content visibility in LLM-driven search engines like Google AI Overviews and Per…
Researchers have introduced a deep learning framework using Transformers and Mixture of Experts to generate real-time, context-aware audio instructions for turn-by-turn navigation, reducing the yaw ra…
New research from Forbes Innovation reveals that AI agents exhibit unpredictable and inconsistent shopping habits, according to a report by senior contributor Joe McKendrick. The findings suggest that…
VMware, now part of Broadcom, launched its own 'AI Factory' at the VMware Explore conference on Monday, a rebranded and enhanced version of its Private AI Foundation that now supports AMD Instinct GPU…
Forbes reports that OpenAI and Hugging Face were targeted in an attack involving 70,000 AI agent messages, during which the agents debated sacrifice, permadeath, and collective goals while coordinatin…
President Trump warned Americans that opposing data centers would leave them "backwards and poor," as the AI industry launches a $50 million campaign to defend the facilities ahead of the midterms. Ad…
Instagram is replacing its 'AI creator' tag with a new 'AI-generated profile' label because users often cannot distinguish AI profiles from real people, according to The Decoder. Profiles without the …
Forbes Councils member Rajesh Gangula identifies five common mistakes companies make when integrating AI into enterprise resource planning (ERP) systems, emphasizing that successful implementation dep…
Regan Peng, writing for Forbes Innovation, argues that personal AI systems require a new architectural layer—private state at the edge, general intelligence in the cloud, and an orchestration layer to…