Posts For Tag ai
A brief overview and guide to playing with cutting edge AI easily with Google Colab
Clearview AI, a provider of facial recognition capabilities powered by billions of images scraped from all over the web, has faced much media scrutiny and nu...
On why GPT-3 as is will not cost many people their jobs or soon lead to AGI
GPT-3 was by far the largest AI model of its kind last year. Now? Not so much.
There's too much misunderstanding, hype, and misinformation surrounding AI, and those developing it should do more to change that
One PhD student’s curated list of 21 newsletters to help you keep up with AI news and research
A look at trends from 100 weeks of AI news, and AI-generated AI news snippets!
An overview of the big AI-related stories of 2020
Popular usage of the term ‘Artificial Intelligence’ adds to misunderstanding of AI as it exists today.
There was a big messy discussion on Twitter, which I reflected on.
At 13,000 attendees and 1,428 accepted papers, NeuRIPS has unquestionably become a huge conference. Does that make it worse or better as an academic conference?
AI researchers often bemoan low quality coverage of their field; here are their recommendations.
The Rubik’s cube solving hand is representative of a true research contribution, but its many caveats do not merit the PR hype
What are best practices AI researchers can follow to avoid unintended consequences of their research?
Recent studies suggest the impact of AI on jobs in the near future will not be significantly more disruptive than the impact of automation in the past
Is China winning the global AI race? How will developments in AI impact the job market, wealth inequality and the global economy?
What do robotics researchers even do? This.
Learning how to learn better.
By definition, learning from scratch inefficient.
Why DeepMind's Go playing program is not about to solve all of AI
Some bonkers stuff conjured up in the process of doing research
I did a project with some nice tools, and now post this to recommend those tools
On the two-decade story of how two revolutionary ideas were combined to make AlphaGo
About how we got from the crummy Chess programs of the late 50s all the way to DeepBlue
The start of the story of how humanity made computers good at Go
About the mid-2000s neural net comeback, and how deep learning ascended to the tsunami it is today
About neural nets' flaws in the 90s, and how a new AI Winter dawned
How the foundations of deep learning were developed in the 90s
The beginning of a story spanning half a century, about how we learned to make computers learn