AI Research news and analysis on Web Pulse: 10042 curated articles tracking the latest AI Research developments, tools, and research, updated continuously from vetted sources.
Six leading UK fund managers revealed underrated stocks with long-term growth potential, including Eli Lilly, Lion Finance Group, Frasers Group, RELX, and Bloom Energy, spanning healthcare, financial services, retail, an…
Stockholmsbörsen förväntas öppna svagt uppåt med en indikerad uppgång på 0,5 procent, medan tech- och AI-sektorn pressas globalt. Robert Oldstrand, aktiestrateg på Swedbank, ser rotationen som odramatisk och menar att Sv…
Researchers have proposed a category-theoretic framework for comparing artificial general intelligence architectures, aiming to provide a formal foundation for AGI systems. The framework, detailed in a working paper, all…
PhantaField's Sophon PFG-1 AI ASIC integrates 330 GB of on-die DRAM using a monolithic 3D architecture, eliminating the need for high-bandwidth memory (HBM) to overcome the memory wall in large language model inference a…
South Korea announced a 800 trillion won ($585 billion) investment to build a semiconductor complex in the southwestern region, led by Samsung Electronics and SK hynix. The government also plans AI data centers with 550 …
Researchers propose the Generational Context Architecture (GCA) to solve LLM context rot by enforcing artificial mortality on agents, using a multi-agent relay system with deterministic orchestration to maintain infinite…
South Korea expects 550 trillion won ($380 billion) in private-sector investment for AI data centers, chips, and other technologies, led by Samsung Group and SK Group. Samsung plans over 1,000 trillion won total, with 35…
EM-Equity strategist Adrian Mowat told The Economic Times that recent volatility in South Korean chip stocks is a temporary dip driven by tight supply and demand, not an AI bubble burst. Mowat warned that the next phase …
Researchers from the University of Cambridge and Nvidia introduced the Red Queen Gödel Machine (RQGM), a framework enabling AI agents and their evaluators to co-evolve, addressing stagnation in recursive self-improvement…
Production RAG systems degrade gradually through operational changes like documentation drift, retrieval shifts, and stale evaluation data, not through single catastrophic events. A proposed reliability framework based o…
Recent AI research introduces RL-driven agentic optimization using dense token-level supervision and progress advantage signals to stabilize training. PhysiFormer injects 3D geometric reasoning into diffusion transformer…
A developer at an unnamed company built a cost-saving AI system that uses agreement between two cheap models as a proxy for a test, serving easy queries cheaply and escalating only when the models disagree. In production…
Austria's State Secretary for Digitalization, Alexander Proell, urged the European Union to host Anthropic after US export controls forced the AI company to disable its frontier models for foreign users. Proell argued Eu…
LG AI Research has obtained ISO 27001 certification for information security across the AI lifecycle, strengthening its position in secure AI systems. The company plans to expand into regulated sectors like healthcare an…
An open-source, bilingual guide explaining the inner workings of Transformers has been published, covering topics such as attention collapse and KV-cache compression with reproducible code. The guide is available in Engl…
A developer argues that agent runtimes lack a session state infrastructure, forcing users to act as the retry protocol when tool calls fail or context overflows. The proposed solution includes a typed, inspectable state …
At the Cannes Lions festival, technology heads from major holding companies discussed the challenges and opportunities of integrating AI into advertising, emphasizing the need for speed, experimentation, and new roles li…
Researchers introduced Tessellating the Earth (TTE), a learnable location encoder using Spherical Voronoi partitions that allocates representational capacity to discriminative areas. TTE sets a new state of the art in ge…
Researchers propose LaViD, a framework that transfers semantic knowledge from a large language model to a vision-only student model using multiple-choice questions, outperforming existing distillation methods on fine-gra…
Researchers introduced Grounded Iterative Language Planning (GILP), a hybrid method combining a small parameterized world model with LLM-based agent reasoning, reducing hallucinated-state rates from 0.176 to 0.035 on gra…