AI Research news and analysis on Web Pulse: 9724 curated articles tracking the latest AI Research developments, tools, and research, updated continuously from vetted sources.
The United Nations has launched a new commission co-chaired by Salesforce CEO Marc Benioff and Rwandan President Paul Kagame to develop unified global AI rules. The commission includes executives from Amazon, Anthropic, …
UBS analysts found that roughly 60% of enterprises are throttling AI spending by adding guardrails, creating a modest headwind for AI model makers. The trend boosts the value of cheaper open-source and Chinese models lik…
GeekyAnts warns that delaying AI product modernization in enterprises incurs rising maintenance costs, slower AI deployment, and widening competitive gaps, with technical debt in the US reaching $1.52 trillion and early …
Electric vehicles are straining power grids, prompting researchers to test AI-driven multi-agent reinforcement learning for smarter charging. Simulations using contextual combinatorial bandits and policy gradient algorit…
Researchers found that AI models can improve problem-solving performance by 42% when switching from text-based to visual representations, such as grids and diagrams. The team developed a metric that determines when AI sh…
A new AI ideation framework called Agentic-Ideation outperforms traditional methods by over 11.91% in overall quality, slashing data synthesis costs by more than tenfold. The system automates complex reasoning processes,…
Abu Dhabi sovereign wealth fund MGX closed a $49 billion AI fund on July 1, 2026, exceeding its initial $45 billion target. The fund, one of the largest focused on AI, has already backed 14 companies including Anthropic,…
Speculative decoding accelerates large language model inference by 20-50% without quality loss, using a draft-verify mechanism that generates multiple tokens per forward pass. The technique amortizes memory bandwidth cos…
UBS analysts report that approximately 60% of enterprise companies are throttling AI spending by implementing guardrails, as CFOs and CTOs grow concerned about rising token costs and meager ROI. The analysts note that AI…
Algorithmic progress in AI is accelerating, with up to ten orders of magnitude in intelligence output per unit of scale still possible, signaling an early takeoff where AI improves AI. Compute and research are advancing …
Anthropic launched Claude Science, a new AI tool for scientific research, prompting Google and OpenAI to accelerate their own competing efforts in the space.
AI agents suffer from limited memory due to the stateless nature of large language models, but retrieval-augmented generation (RAG) offers a solution by offloading long-term memory to external storage. RAG provides three…
Alphabet Inc. gained $2 trillion in market value, reaching approximately $4.29 trillion and remaining the world's second most valuable company. The surge comes amid investor scrutiny and a recent $80 billion equity offer…
A new guide on multi-agent orchestration patterns reveals that 40% of multi-agent pilots fail within six months of production deployment, primarily due to selecting the wrong coordination model. The guide details six can…
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…