Life sciences leaders say AI agents will be "essential" within two years. 97% say trusted data is essential for effective use of AI agents. 81% of R&D leaders surveyed are "very excited" about using ...
They work inside integrated development environments (IDEs), where code, documentation, testing, version history and ...
Shweta Maniar, global director, life sciences strategy & solutions for Google Cloud, recently discussed with GEN Edge the survey and the broader challenges faced by life sciences and healthcare users ...
1. Long-Context Reasoning: Recursive language models (RLMs) now enable reasoning over effectively unlimited context, ...
Salesforce Inc. has been at the forefront of the race to adopt agentic artificial intelligence over the past six months or so, with its Agentforce platform spearheading a push to accelerate automation ...
Collaboration will bring next generation orchestration and modular automation to scientists worldwide ...
Oct. 20 (UPI) --Anthropic on Monday announced a new service called Claude of Life Sciences that uses artificial intelligence in efforts to advance scientific discovery. This is the San Francisco-based ...
Science is entering a massive publishing boom, in large part due to artificial intelligence. New research published in the journal Science has revealed that scientists who use large language models ...
NEWTON, Mass.--(BUSINESS WIRE)--Manifold, the AI platform for life sciences, today announced an $18 million Series B funding round led by Reach Capital, with participation from SilverArc Capital, ...
giles AI, a company making advanced research tools accessible to all and simplifying how scientists work with data, has announced the commercial launch of giles, its AI specialised research agent ...
Opinion
24don MSNOpinion
AI cannot automate science: A philosopher explains the uniquely human aspects of doing research
Consistent with the general trend of incorporating artificial intelligence into nearly every field, researchers and politicians are increasingly using AI models trained on scientific data to infer ...
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