Kudos to the folks @FiveThirtyEight for recognizing the importance of cross-checking probability forecasts with outcomes. https://t.co/pOgDEN8plQ pic.twitter.com/c7MpaD0fql
— Michael Lopez (@StatsbyLopez) April 4, 2019
Kudos to the folks @FiveThirtyEight for recognizing the importance of cross-checking probability forecasts with outcomes. https://t.co/pOgDEN8plQ pic.twitter.com/c7MpaD0fql
— Michael Lopez (@StatsbyLopez) April 4, 2019
Managing smart humans is not about getting them to deliver results. It’s about enabling and empowering them to become the best version of themselves—and then getting out of the way so they can surprise you with their awesomeness.
— Angela Bassa (@AngeBassa) April 4, 2019
Facing criticism, Facebook opts for propaganda https://t.co/N4Pj3Sx3Ox
— Tim Wu (@superwuster) April 4, 2019
Hearing Google try to justify the decision to include the anti-trans, anti-LGBTQ, & anti-immigrant president of the Heritage Foundation on their AI ethics board as "diversity of thought", reminded me of this great thread by @polotek (written about Thiel being on Facebook's board) https://t.co/tUZ5bHpbhP
— Rachel Thomas (@math_rachel) April 4, 2019
I just updated my GPU recommendation blog post! I included the RTX Titan and GTX 1660 Ti in my analysis. The analysis now separates word RNNs from char RNNs/Transformers. I also recommend TPUs for larger transformers/CNNs. This and more in the update: https://t.co/jdQs8FuSCo
— Tim Dettmers (@Tim_Dettmers) April 3, 2019
What machine learning tools do Kaggle champions use? We ran a survey among teams that ranked in the *top 5* of a competition since 2016.
— François Chollet (@fchollet) April 3, 2019
The first question asked about the *primary* framework they used.
Very happy to see confirmation that winning teams prefer Keras :) pic.twitter.com/xv8IadXpv1
The latest in AI grassroots action — researchers from Google, Facebook, Microsoft, and top universities are telling Amazon to stop selling its flawed facial recognition algorithms to the police https://t.co/g9wU6lgExT
— James Vincent (@jjvincent) April 3, 2019
risks of ML tools that manipulate perception:
— Rachel Thomas (@math_rachel) April 2, 2019
- geopol diplomacy manipulation
- botnets & astroturfing outcompete humans for legislator/regulator attention
- phishing emails identical to real msgs from loved ones
- flooded w disinformation, people give uphttps://t.co/tzhr9Ia5gn pic.twitter.com/xr7nymxFDE
I was honored to be given the opportunity to talk @scrippsresearch for "Future of Individualized Medicine 2019".
— Jeremy Howard (@jeremyphoward) April 1, 2019
In this talk, I describe why we need "Even Deeper Medicine", and how we might get there. If you can help meet this challenge, contact me.https://t.co/N7EBRZ5p6p
Kaggle is a great underdog story -- itself full of great underdog stories. Really goes to show how truly open, meritocratic competition is a major driver of progress.
— François Chollet (@fchollet) March 31, 2019
Openness and community are everything.
At our recent #FOIM19 conference, @jeremyphoward, a leading light in #A!, founder of @enlitic (& @fastdotAI w/ @math_rachel), gave an extraordinary talk on "Even Deeper Medicine" https://t.co/BsWcMA2LZX #DeepLearning @ScrippsRTI @scrippsresearch pic.twitter.com/LcVAFY8Tbc
— Eric Topol (@EricTopol) March 31, 2019
Scary and important work on AI and cybersecurity: @keen_lab fools #Tesla Autopilot into driving in wrong lane, using nothing more than stickers on the ground. shows Tesla system lacks adequate redundancy and common sense.
— Gary Marcus (@GaryMarcus) March 31, 2019
be sure to watch video (in replies). h/t @Byron_Wan https://t.co/QdyFqZfFAt