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Vector Institute establishes AI engineering team to turn research into practical applications (BETAKIT)
The Vector Institute for Artificial Intelligence is establishing a new engineering team meant to take the not-for-profit’s research and turn it into products.
In these unprecedented times, entrepreneurs need all the help they can get. BetaKit has teamed up with Microsoft for Startups on a new series called Just One Thing, where startup founders and tech leaders share the ‘one thing’ they want the next generation of entrepreneurs to learn.
Agencies including the National Science Foundation (NSF), U.S. Department of Homeland Security, and U.S. Department of Energy (DOE) have committed to investing tens of millions of dollars in centers intended to serve as nodes for AI and quantum computing study.
After learning its own ethics lessons the hard way, the tech giant will offer services like spotting racial bias or developing guidelines around AI projects.
Data science startup Dataiku raises $100 million to keep growing its AI enablement software (FORBES)
Data science startup Dataiku thinks it has the tools for companies in retail, finance and the like to utilize data like their tech peers.
New temporary policy to allow foreign workers to apply for work permit without leaving Canada (BETAKIT)
Canada’s Minister of Immigration, Refugees and Citizenship announced a new public policy set to make it easier to apply for a work permit amid COVID-19.
How to fight discrimination in AI (HARVARD BUSINESS REVIEW)
Despite the significant resources companies have spent on responsible AI efforts in recent years, organizations still struggle with the day-to-day task of understanding how to operationalize fairness in AI.
How special relativity can help AI predict the future (MIT TECHNOLOGY REVIEW)
A new approach inspired by Einstein’s light cones lets computers make better guesses about what will happen next. Applications could include predicting the effects of medical treatment.
Alphabet’s DeepMind pioneered reinforcement learning. A Maryland company used it to create an algorithm that defeated an F-16 pilot in a simulation.
What are VCs looking for when evaluating an AI deal? What should be in your pitch deck?