Posts Tagged: ai
U of T Engineering researchers examine ways to make the use of language models more resource efficient by replacing their high-precision parameters with low-precision ones
MOF-ChemUnity offers a structured map of scientific knowledge about the structure, properties and potential uses of this highly versatile class of materials
‘Read widely, build things, break them and figure out why they broke’: Meet Professor Nick Rhinehart
Rhinehart (UTIAS) is advancing machine learning methods for robot decision-making to develop safe and reliable robotic technology
Professor Chi-Guhn Lee (MIE) is among those leading a new research centre under the Global Industrial Technology Cooperation Center program of the Korea Institute for Advancement of Technology
Developed by U of T Engineering researchers, the tool uses early-stage data to predict the potential real-world use for a new material
Company aims to transform the way cell culture media is developed, using artificial intelligence to make cell-based therapies more effective and clinically viable
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