219 summarised stories about AI & Healthcare, each linking back to the original source. Browse all topics →
SiliconANGLE 2 weeks ago 39 ● 3 sources
EliseAI raised $350 million to expand its AI work automation suite for real-estate and healthcare customers. The funding round led by Andreessen Horowitz and Bessemer values the company at $4 billion. The company plans to extend its automation features and hire more engineers, software deployment professionals, and salespeople.
Fortune 1
ADP says payroll and HR automation must be paired with human expertise because automating flawed processes can scale errors instead of removing them. ADP’s Potential of Payroll 2026 research found 68% of payroll leaders incur penalties for noncompliance once or twice a year. ADP argues organizations should adopt AI to streamline routine work while keeping oversight and context checks by people, especially as regulations and exceptions remain complex.
Fortune 20 ● 3 sources
EliseAI raised $350 million in new funding to value the company at $4 billion after nearly doubling its valuation from a year earlier. The round was led by Andreessen Horowitz and Bessemer Venture Partners and includes Ontario Teachers’ Pension Plan, coming about 13 months after a $250 million Series E valued EliseAI at $2.2 billion. The money will go toward product development and expanding engineering, deployment, and sales teams, including plans for a second San Francisco engineering hub.
Microsoft 2 weeks ago 25
Microsoft Research introduced Quine, a research system combining a multimodal biology world model with a harness that connects models, scientific tools, literature, and researchers to run an iterative experiment–reasoning loop.
Tech.eu 2 weeks ago 23
Apheris and Ginkgo Datapoints launched the Antibody Developability Consortium with founding pharma members to create standardized antibody developability datasets and train models. The effort will scale to 10,000 antibodies total, with Ginkgo filling remaining capacity from public sources. Members will be able to train, benchmark, and refine AI models on the shared dataset in Apheris’s federated environment without sharing raw proprietary sequences, and the consortium plans to deliver its initial dataset by early 2027.
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15 October 2026
Meta’s big move today wasn’t just another model release—it was a licensing-and-distribution statement. Muse Spark Open ships as an 816B-parameter, coding-optimized multimodal model with a 1 million–token context window and 42B active parameters per token, now available as downloads for developers (with restrictions) and deployable through Amazon SageMaker JumpStart into customer-controlled endpoints. The “open” part comes with strings: a custom Muse Model License, advance notification above $20 million revenue, and a required “Built with Muse Spark Open” attribution. Meta still keeps its top systems closed, but it’s clearly betting that more developers will build long-running agent workflows when they can run, fine-tune, and adapt the weights.
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