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Making computers explain themselves: not only predictions and classifications but rationales for their decisions

Making computers explain themselves: not only predictions and classifications but rationales for their decisions
innovationtoronto.com - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from innovationtoronto.com Daily Mail and Mail on Sunday newspapers.

Byron-wallace
Regina-barzilay
Delta-electronics-professor-of-electrical-engineering
Artificial-intelligence-laboratory
Guinness
Northeastern-university
Computational-linguistic-conference
Empirical-methods
Natural-language-processing
Tao-lei
Delta-electronics-professor
Electrical-engineering

MIT group releases white papers on governance of AI

MIT group releases white papers on governance of AI
miragenews.com - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from miragenews.com Daily Mail and Mail on Sunday newspapers.

Washington
United-states
Henry-ellis-warren
Dan-huttenlocher
Dylan-hadfield-menell
Yoon-kim
Adam-berinsky
Cynthia-breazeal
Ziv-epstein
Sendhil-mullainathan
Erwinh-schell
Simon-johnson

What does the future hold for generative AI?

MIT faculty members, including keynote speaker Rodney Brooks, discussed the power and potential pitfalls of generative AI tools like ChatGPT at the “Generative AI: Shaping the Future” Symposium, the kickoff event of the Institute’s Generative AI Week.

Sally-kornbluth
Dina-katabi
Rodney-brooks
Daniela-rus
Joshua-bennett
Google-bard
Jacob-andreas
Joshua-tenenbaum
Williamt-freeman
Max-tegmark
Antonio-torralba

José Andrés, Priyanka Chopra Jonas, Tilda Swinton & More at SXSW 2023

2023 SXSW keynotes – José Andrés, Priyanka Chopra Jonas, Tilda Swinton, New Order, and Margo Price – and more Featured Speakers added.

United-states
Washington
District-of-columbia
New-york
Patagonia
Chile-general
Chile
California
San-diego
Manchester
United-kingdom
London

A simpler path to better computer vision

Research finds using a large collection of simple, un-curated synthetic image generation programs to pretrain a computer vision model for image classification yields greater accuracy than employing other pretraining methods that are more costly and time consuming, and less scalable.

Manel-baradad
Antonio-torralba
Rogerio-feris
Tongzhou-wang
Phillip-isola
Artificial-intelligence-laboratory
Delta-electronics-professor-of-electrical-engineering
Watson-ai-lab
Xyla-inc
Jpmorgan-chase-bank
Computer-science
Delta-electronics-professor

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