Posts Tagged: ai
Technology developed by U of T Engineering researchers could help predict wildfire spread to support first responder safety and resources
New alloys made of nickel, cobalt and chromium outperform industry standards at high temperatures, such as those experienced in jet engines
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
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