Korean AI robotics companies are relocating to Silicon Valley amid concerns over the research environment in South Korea. Bear Robotics, acquired by LG Electronics, and AeiROBOT, led by Sheal Eum, have expressed difficulties in conducting quality research due to the 52-hour workweek. The government plans to invest 6 trillion won ($4.3 billion) over five years in physical AI, starting with a 500 billion won investment next year.
The US House of Representatives plans to offer Microsoft Copilot to its staff, with a limited number of employees in each office having access to the tool. The rollout will begin this month and continue through November, with up to 6,000 licenses available for a year. House Speaker Mike Johnson emphasized the potential benefits of Copilot, stating it will "unlock extraordinary savings for the government and add to Congress' capacity to better serve the American people." This move follows a ban on congressional staffers using Microsoft Copilot, which was reported in March 2024.
The New York Department of Financial Services (NYDFS) has recommended blockchain analytics tools to banks involved with virtual currencies. This guidance builds upon previous advice issued in April 2022, which emphasized the use of blockchain analytics to prevent and manage financial risks and suspicious activities. The tools can help assess risk exposure through customer wallet screening, conduct holistic monitoring for illicit activity, and weigh the risks associated with virtual currency products or services. For example, Chainalysis's blockchain analytics can determine whether a transaction came from a regulated institution or a darknet market, providing clear information on the source of funds.
Oracle and OpenAI have struck a $300 billion cloud agreement for AI infrastructure. The deal signals that AI is entering an infrastructure phase, where capacity planning, energy supply and financing matter as much as algorithms and model performance.
Anthropic's report reveals businesses are mainly using AI to automate work, with 71% of respondents relying on the software for automation purposes. This trend is concerning as it may lead to job displacement and upend livelihoods, particularly in industries where tasks are repetitive or can be easily automated.
Advances in sports medicine are enabling Indian athletes to recover faster and perform better. Cutting-edge diagnostics, regenerative treatments, and technology are reshaping injury rehabilitation and boosting confidence. India Today Health Desk reports that Indian athletes can now heal faster, thanks to the integration of AI technology in sports medicine. For instance, Dr. Ankit Gupta, a leading sports medicine expert, has successfully used AI-powered diagnostic tools to identify and treat injuries in athletes. This technology is being utilized by top sports institutes, such as the Indian Premier League (IPL) and the Indian national cricket team.
aiEDU's new AI Readiness Framework builds on career research to give teachers and school leaders a roadmap to prepare students for a world where AI is ubiquitous. The framework, Version 2, emphasizes human skills such as communication, collaboration, and critical thinking alongside the reality that many technical skills will now be augmented by AI. The updates include expanded student competencies, updated educator competencies, a new school leader readiness rubric, and revised district readiness criteria. The framework aims to create a comprehensive approach to building AI Readiness across systems, from classrooms to districts.
Bain's AI-powered Sustainability Pulse tool analyzed over 35,000 statements from 150 leading companies' CEOs in 2018, 2022, and 2024. The analysis found that CEOs are shifting their focus from sustainability as a moral or compliance issue to aligning it with business value. The report identified 25% of global carbon dioxide emissions can be abated profitably today through ROI-positive levers such as energy efficiency, circular design, and supply chain localization. Companies like those in the technology and manufacturing sectors are using AI to deliver sustainable impact, with 80% of surveyed C-suite executives seeing high or very high opportunity for AI to contribute to their sustainability agenda. However, the report warns that scaling AI could lead to increased emissions, with INTERSECT climate-economic modeling tool predicting 810 million metric tons of carbon dioxide annually by 2035.
Cloud Hypervisor, under The Linux Foundation, has implemented a no-AI-generated-code policy due to concerns over copyright and legal issues. The move aims to avoid potential vulnerabilities associated with AI code, which could lead to license compliance issues. By declining contributions known to be generated or derived from AI tools, Cloud Hypervisor hopes to reduce code review and maintenance burdens in the future.