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Sber AI Lab adapts object detection methods for event forecasting
Researchers at Sber AI Lab found a formal analogy between object detection and event forecasting and presented the results at the AAAI 2026

Musk ally Gracias seeks AI and energy investments after $100 billion from SpaceX
Antonio Gracias, a longtime SpaceX board member, is planning new bets in AI, energy, and space — after investments in the company brought hi

ByteDance is building the largest data center outside China in Brazil for $39 billion
ByteDance is investing $39 billion in a data center cluster in Brazil — the largest outside China and the result of Lula's policy of attract

Lombard Odier Advises Market-Weight Tech, Points to Opportunities Beyond AI

Sysdig Documents First Ransomware Attack Conducted by AI Agent Without Human Involvement

SK Hynix Leveraged ETF Has Grown So Large It's Shaking the Entire South Korean Market

SoftBank launches AI cloud business in the USA: plans for 10 gigawatt capacity

Spotify Deletes Half a Million Streams After Suspicious Kalshi Bet
Spotify acknowledged approximately 500,000 streams of the track 'Earrings' as artificially inflated — its rise to the top of the US charts t

EU Court Confirms €4.1 Billion Google Fine for Android Abuse
The EU's highest court has definitively upheld an antitrust fine of €4.1 billion against Google — after eight years, the company has failed

Argentina Creates New Type of Legal Entity — Corporation Run by AI Agents

AI data centers are changing the nature of power grid loads and creating new risks for operators

Ubisoft appoints former Amazon Games vice president to lead Tom Clancy studio

Hisense Canvas S7 gets $350 off for Independence Day, cheaper than Samsung Frame TV

Mistral AI Releases Leanstral 1.5: Free AI Model Sets Formal Verification Records
Mistral AI unveiled Leanstral 1.5 — a theorem-proving model with 6 billion active parameters that solves 87% of FATE-H tasks and 587 out of

Subagents in Claude Code: how to delegate reviews and tests to separate agents
Claude Code runs into context limits, not model capacity — subagents solve this by moving reviews, tests, and audits to separate agents with









