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North American large CSPs remain the main driving force behind the demand for AI servers, supported by tier-2 data centers as well as sovereign cloud projects in the Middle East and Europe. Overall demand remains stable. Driven by the demand from North American CSPs and OEMs, it is expected that AI server shipments will continue to grow at double-digit rates in 2025. However, due to changes in the international situation, the year-over-year growth rate of global AI server shipments in 2025 has been revised downward to 24.3%.

Wonder, a London-based AI creative studio, has announced a $3 million funding round. The investment round included participation from key figures at ElevenLabs and OpenAI.

Musk is in financing talks with several large investors from the Middle East, aiming to raise funds for his artificial intelligence startup xAI, with a target valuation approaching $45 billion, nearly double the company's valuation a year ago. According to sources familiar with the matter, xAI is in preliminary discussions with both new and existing investors to seek new funding to compete with OpenAI. OpenAI recently completed over $10 billion in debt and equity financing, while Anthropic and large companies like Google and Meta are also involved.

This article reports on a rare case in the music industry, where North Carolina musician Michael Smith is accused of fraudulently using artificial intelligence and bot accounts to generate over ten million dollars in illegal income from streaming platforms. He collaborated with an accomplice to purchase AI-generated songs and artificially inflated play counts on platforms like Spotify, Apple Music, and YouTube Music to reach billions of plays. Smith registered bot accounts under fake names to distribute traffic.

The UK's railway system has introduced artificial intelligence technology for the first time, developing an Automated Deer Detection and Deterrent System (ADDS) that successfully prevents nearly 6000 deer from entering railway areas, ensuring railway safety. This system was collaboratively developed by Network Rail and London North Eastern Railway, utilizing 127 cameras, 90 ultrasonic alarms, flashing red and white lights, 10 Wi-Fi routers, and portable power supplies to monitor deer movements in real-time and drive them away. Since its implementation, the system's real-time monitoring footage has effectively stopped deer from approaching the railway, reducing animal intrusions.

According to a report by Nikkei News, South Korean electronics giant Samsung Electronics plans to launch an energy-efficient air conditioner in the North American market that utilizes artificial intelligence technology. This innovative product is expected to reduce energy consumption by up to 30%. Samsung will introduce this technology to the North American market through a recent joint venture with the American air conditioning manufacturer Lennox. Approximately two months ago, the two companie

Cohere announced a new fine-tuning suite, featuring capabilities such as chat, reordering, and multi-label classification to empower personalized AI applications for businesses. The new fine-tuning dashboard allows users to manage and run fine-tuning projects, providing a testing ground, real-time progress monitoring, and a price calculator. Fine-tuning enhances model performance, improving the accuracy of generated solutions by 60%, with chat solutions improved by 40%. Models can be fine-tuned in 30 minutes and deployed in under a minute. Cohere plans to expand its London research center's workforce to meet the demand for customized models and improved performance through fine-tuning.

💼 "Team Expansion": AI company Cohere plans to double the number of employees at its London Global Research Center to about 50 over the next year. 🌍 "London Global Research Center": Cohere's London office is one of its largest research facilities. 🔬 "Chief Scientist Appointment": Cohere appointed DeepMind's Chief Scientist Phil Blunsom in 2022 as the...

Context has raised $3.5 million in funding to improve its product and provide better analytics for LLM applications. Context's product can track conversation topics, satisfaction levels, and more for LLM applications, offering developers valuable insights. The company plans to use the funds to expand its engineering team, enhance product performance, and serve more customers.