Using AI to screen live video of terrorism is ‘very far from being solved,’ says @ylecun https://t.co/Stbu0rQ0JE
— Gary Marcus (@GaryMarcus) May 21, 2019
Using AI to screen live video of terrorism is ‘very far from being solved,’ says @ylecun https://t.co/Stbu0rQ0JE
— Gary Marcus (@GaryMarcus) May 21, 2019
Advice for "AI for social good":
— Rachel Thomas (@math_rachel) May 21, 2019
- first question those social problems & why they exist
- be mindful of power & information asymmetries
- define the problem in terms of needs, not solutions
- think about potential malicious uses of your implementationhttps://t.co/OmImrDNEhV pic.twitter.com/fsWhpJIHwc
This algorithm shows how machine learning may soon detect lung cancer faster and more reliably. https://t.co/VwAMLpNIZE
— MIT Technology Review (@techreview) May 20, 2019
We might have figured out how to keep artificial intelligence from misbehaving. https://t.co/E2FvX2eKYj
— MIT Technology Review (@techreview) May 19, 2019
You might think AI hype has peaked, but then this happens: https://t.co/0gQj6FfMLi @GaryMarcus
— Max Little (@MaxALittle) May 19, 2019
This bad faith propaganda will likely be successful at sucking up massive pools of capital in Silicon Valley but will actively harm the honest people who come up in this field next facing a rightly dubious public for decades.
— Zachary Lipton (@zacharylipton) May 19, 2019
100 times this
— Radek Osmulski (@radekosmulski) May 18, 2019
The flip side of this is that you should leave a job once you stop learning, which for most of the jobs is about a year.
If you can find an organization that allows you to continue to grow, that is a strong signal you might be at a great place 🙂 https://t.co/cTiukjwED3
Recording of my talk, Building Data Science, is live! This talk covered the first six months of #buildingDS at a startup, including:
— Caitlin Hudon👩🏼💻 (@beeonaposy) May 15, 2019
💻 Perspective on being the first data person in org
🌱 Greenfield DS challenges
🛠️ Building DS infrastructure
🗺️ Making data + tooling decisions https://t.co/CUEfeBdI1b
Adversarial attacks in the real world https://t.co/PK8jmMb8zX
— hardmaru (@hardmaru) May 14, 2019
A worrying example of the fallacy of big data.
— Neil Lawrence (@lawrennd) May 14, 2019
There are 'countably infinite things' that can possibly happen and just 500,000 cars ... around 25% of which are driving around California.
We need a lot more than just big data to have safe autonomous vehicles. https://t.co/VstFIAB0ZF
my latest blog post: Advice for Better Blog Postshttps://t.co/shIlmrw4Y8
— Rachel Thomas (@math_rachel) May 13, 2019
If you only got the DataCamp story in bits and pieces 👇
— Mara Averick (@dataandme) May 13, 2019
"A Multimillion-Dollar Startup Tried To Cover Up Its CEO’s Sexual Misconduct. Then The Truth Came Out." https://t.co/eHno52pY5J via @daveyalba