Neko Health has raised $700 million in a Series C funding round to expand its AI body scan services in the United States, beginning with a clinic in New York. The round was led by Lightspeed Venture Partners, with participation from notable investors like Mark Zuckerberg and Maria Sharapova. Neko's service combines AI, medical imaging, and blood tests to screen for various health conditions. Despite its rapid growth and 100,000 scans completed, the company has not yet provided peer-reviewed studies validating its approach. The expansion into the US market highlights the increasing interest in AI-driven preventive healthcare.
Read originalSenseTime's Galaxy Project is a bold move to scale domestic AI chip infrastructure in China, aiming to create a closed-loop system that integrates chip technology, ecosystem partnerships, and commercial deployment. By collaborating with nearly 20 partners, including major domestic chip vendors, SenseTime seeks to enhance the efficiency and adaptability of AI computing power. The project also introduces a new metric, Tokens Per Watt, to measure data center efficiency, highlighting the company's focus on energy optimization. While the ambitious forecasts and claims of increased token throughput and cost-effectiveness are promising, they remain unverified by third parties, leaving room for skepticism until proven in real-world applications.
Google's introduction of Gemini 3.6 Flash and 3.5 Flash-Lite represents a strategic move to enhance AI agent efficiency in enterprise settings. These models are engineered to lower token costs and latency, which is vital for businesses deploying autonomous agents at scale. The 3.6 Flash model achieves a 17% reduction in output tokens compared to its predecessor, boosting performance in reasoning tasks. Meanwhile, 3.5 Flash-Lite provides a cost-effective solution for high-volume document processing. This development highlights Google's commitment to refining AI tools for practical, large-scale applications, making them more efficient and accessible for enterprise use.