Samuel Thompson

US public health departments are piloting generative AI tools through the PULSE initiative, a collaboration involving CHAI, OpenAI, Anthropic, and Accenture. Ten jurisdictions will test AI for biosurveillance, social determinants of health, operational efficiency, public communications, and clinical data retrieval. The program aims to create practical implementation guides, focusing on trust, governance, and execution, to prepare agencies for AI adoption.

Moonshot AI’s Kimi K3, a 2.8 trillion-parameter open-weight model, utilizes “mixture-of-experts” and quantization-aware training to optimize memory over compute, potentially circumventing U.S. restrictions. This approach allows it to function with reduced computational demands, though memory requirements remain substantial. Despite impressive performance in specific benchmarks, Kimi K3 still trails leading models in overall capabilities. Its release on July 27th will offer a significant opportunity to assess its impact on the open-weight model landscape.

Bunkerhill Health raised $55 million in Series B funding to scale its agentic AI platform, Carebricks. The funding will accelerate the deployment of AI solutions within hospitals, addressing the gap between AI efficacy in research and real-world clinical integration. Carebricks enables health systems to build custom AI agents for various clinical and administrative tasks, as demonstrated by successful implementations at the University of Texas Medical Branch.

Google DeepMind and Isomorphic Labs launched a bioresilience program using AI to enhance biosecurity and prevent misuse. The initiative involves over 15 partnerships, focusing on preventing misuse, detecting threats, and responding to outbreaks. They are developing AI safeguards, improving DNA synthesis screening, and advancing cost-effective sequencing. AlphaFold is aiding countermeasure development, with Isomorphic Labs ready to deploy its drug design engine during outbreaks. The program aligns with legislative proposals to strengthen biosecurity frameworks.

Neko Health has secured $700 million in Series C funding, enabling its expansion into the U.S. market with AI-powered preventive health screenings. The company combines advanced imaging, blood tests, sensor technology, and clinician review to detect early health indicators. It plans to launch its first U.S. clinic in New York City. This substantial investment, led by Lightspeed Venture Partners, underscores investor confidence in Neko’s proactive healthcare approach.

Nokia launched its AI-RAN platform, an “AI-native” radio access network solution developed with NVIDIA. It promises significant spectral efficiency gains, potentially doubling operator capacity without new infrastructure. Offered as a software subscription, it signals a strategic shift from hardware to software development. While a competitor, Ericsson, already offers an AI-in-RAN solution, Nokia’s GPU-accelerated approach and partnership with NVIDIA aim for a leading market position.

Bluesight utilizes AWS cloud and AI services to build Prism, an AI layer unifying pharmacy and compliance data. The Prism Assistant for ControlCheck is now live in 20 health systems, streamlining controlled substance monitoring. A future 340B GPO compliance agent aims to automate complex drug purchase reviews. This initiative drastically reduces manual effort in hospital pharmacy operations, with significant improvements in report generation and analysis speed.

Cloudflare’s new web defaults, effective September 15, will automatically block AI agent and training crawlers in real-time on ad-supported pages. This move aims to differentiate bots from human users and establish clearer rules for the “agentic internet.” Publishers and AI developers must navigate these changes, with potential shifts towards negotiated access and new monetization models like “pay per use” as free web access for AI becomes less common.

Nvidia CEO Jensen Huang proposed an “AI token budget” as an engineer’s worth metric, alarming if annual AI token consumption is less than half their salary. This highlights a broader industry trend of shifting capital from human resources to AI token expenditure, with companies like Meta and Uber facing challenges with ROI on AI investments and high token costs. Experts suggest optimizing token usage through prompt caching, model selection, and batch processing, and reinvesting savings into augmenting, not replacing, human talent, especially entry-level positions, to ensure long-term AI success.

AWS GraphRAG revolutionizes drug R&D, cutting development cycles by 87% by unifying disparate databases into a knowledge graph. This solution leverages Amazon Neptune Analytics and Amazon Bedrock with NLP to transform isolated data into a searchable network. Queries in natural language yield accurate, verifiable answers mapped to literature and internal data, significantly accelerating research and knowledge retention.