AI Infrastructure news and analysis on Web Pulse: 31094 curated articles tracking the latest AI Infrastructure developments, tools, and research, updated continuously from vetted sources.
The Artificial Intelligence Infrastructure Partnership and Brookfield Asset Management are competing to acquire Stack Infrastructure's Asia-Pacific data center portfolio in a deal that could exceed $30 billion. The portf…
Japan is racing to leverage its manufacturing expertise to lead in physical AI, systems that enable robots to autonomously support human workers. Prime Minister Sanae Takaichi announced plans to use decades of operationa…
A 99% obedient LLM still produces tens of thousands of malformed outputs daily at scale, causing production outages. The root cause is that prompt engineering and validation loops only persuade, not guarantee, correct ou…
SK Biopharmaceuticals CEO Lee Dong-hoon announced the company is doubling down on AI and open innovation as core growth pillars, following a partnership with Insilico Medicine for AI-driven drug discovery. The company al…
Tencent is internally testing an AI agent called Dayuan for its enterprise communication platform WeCom, which reads users' chats, emails, and calendar data to provide context-aware assistance without requiring repeated …
S2.dev, a San Francisco-based startup founded in 2024, has raised $3.85 million in seed funding led by Accel to develop a serverless API that treats durable real-time streams as a fundamental cloud storage primitive. The…
Tech stocks in Asia fell sharply on Tuesday, with South Korea's Kospi index dropping over 10% and trading temporarily halted, as investors took profits in chip giants SK Hynix and Samsung Electronics. The sell-off extend…
SoftBank Group is in talks to invest in Tokyo Electric Power Company Holdings (TEPCO), Japan's largest utility, to secure stable electricity for its AI data center expansion. The conglomerate, which has invested over $30…
Kazakhstan presented its digital transformation and AI achievements at a UN high-level event in New York, highlighting its transition to an AI-Native Government model and national AI ecosystem. Vice Minister Bakhtiyar Mu…
Focused Labs analyzes agent handoffs in multi-agent systems, highlighting that handoffs are runtime state changes rather than routing diagrams. The article contrasts orchestration patterns from OpenAI, Microsoft Agent Fr…
Tech stocks tumbled Tuesday, dragging the Nasdaq down about 2%, as investors sold off shares of AI-related companies amid concerns over sky-high valuations, massive data-center spending, and geopolitical risks. Chipmaker…
The British Army's AI system, ASGARD, has reduced corps-level war planning cycles from 72 hours to one hour, according to Chief of the General Staff Gen. Roly Walker. The system processes 10 terabytes of data daily and e…
The U.S. government has escalated a national security clampdown on Anthropic, forcing the company to pull its Claude Fable 5 and Mythos 5 models globally after the NSA lost access to the systems. The shutdown, triggered …
An ML engineer built a system that automatically rolls back machine learning models before they harm production data by routing a small percentage of live traffic to a canary model, continuously measuring its error rate …
AI engineering faces a contradiction between paying premium for frontier models' reasoning capabilities and aggressively compressing context to reduce costs, leading to a 'fallacy of context compaction' that starves agen…
A developer compared API pricing versus self-hosting costs for open-source AI models, finding that for small projects with 1 million tokens per day, using an API is 32 times cheaper than self-hosting. The analysis reveal…
At the Cannes Lions festival, marketers are shifting focus from creative campaigns to brand coherence as AI systems like LLMs synthesize inconsistent brand messages across channels. The real crisis is not about SEO but a…
Researchers introduced Sol Video Inference Engine, an agent-native full-stack acceleration framework for video diffusion models that achieves over 2x end-to-end speedup with near-lossless quality across models from 2B to…
Researchers propose EMRFormer, a spiking neural network architecture that applies spike-driven transformers to automatic modulation recognition, achieving state-of-the-art accuracy while reducing theoretical energy consu…
Researchers introduced Cavewoman, a two-channel evaluation protocol for large language models under linguistic compression, finding that output compression reduces costs by 1.4-3x on API and open-weight models, while inp…