Depth of field
5
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Showing only topics with the tag "machine learning".
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Dual use of artificial-intelligence-powered drug discovery
5 votes -
Who is behind QAnon? Linguistic detectives find fingerprints.
10 votes -
Predictive pattern classification can distinguish gender identity subtypes from behavior and brain imaging
14 votes -
Chinese province targets journalists, foreign students with planned new surveillance system
8 votes -
Machine learning for moral judgments
3 votes -
Approximate data deletion from machine learning models
3 votes -
DeepMind worked with UK weather forecasters to create a model that was better at making short term predictions than existing systems
9 votes -
There is no algorithm for truth (presentation by Tom Scott)
7 votes -
Musician Holly Herndon open sources her voice
14 votes -
Why AI struggles to recognize toxic speech on social media
8 votes -
AI has the worst superpower… medical racism
23 votes -
Tour of the sacred library
10 votes -
GitHub Copilot - Your AI pair programmer
20 votes -
It began as an AI-fueled dungeon game, it got much darker
14 votes -
Carbon emissions and large neural network training
5 votes -
How “MobileAid” and machine learning-based targeting can complement existing social protection programs
4 votes -
Uppestcase and Lowestcase Letters [advances in derp learning]
11 votes -
Nvidia's AI puts video calls on steroids
5 votes -
Exploiting machine learning models distributed as Python pickle files, and introducing Fickling: a new tool for analyzing and modifying pickle bytecode
3 votes -
Multimodal neurons in artificial neural networks
6 votes -
Same Energy, a visual search engine
19 votes -
Nx (Numerical Elixir) is now publicly available
7 votes -
Science fiction hasn’t prepared us to imagine machine learning
11 votes -
DALL·E: Creating images from text
21 votes -
Privacy considerations in large language models
3 votes -
MediaPipe Holistic — Simultaneous face, hand and pose prediction, on device
4 votes -
The way we train AI is fundamentally flawed
16 votes -
In breast cancer screening, deep neural networks use different features than radiologists
@Taro Makino: DNNs perform well on a range of medical diagnosis tasks, but do they diagnose similarly to humans?In breast cancer screening, DNNs use different features than radiologists. Some are spurious, while others may represent new biomarkers.https://t.co/kyMiLtSxw0 1/9 pic.twitter.com/akpIH1OpYo
5 votes -
Protein folding, 2020
7 votes -
AlphaFold: A solution to a fifty-year-old grand challenge in biology
7 votes -
Roiled by election, Facebook struggles to balance civility and growth
12 votes -
Researching the potential of using machine learning to predict random number generation
11 votes -
The art of code - Dylan Beattie
7 votes -
Amazon releases "Halo" wearable which analyzes emotions in the user's voice
14 votes -
AI has cracked a key mathematical puzzle for understanding our world
6 votes -
Amazon's launch of a Swedish retail site has caused embarrassment – confusing, nonsensical and occasionally vulgar product listings scattered across the catalogue
6 votes -
How racial bias in tech has developed the “New Jim Code”
6 votes -
Depth-aware video frame interpolation
6 votes -
Musings on Typicality
3 votes -
The evolution and challenges of using deep neural networks to train the Forza franchise's "Drivatar" driving AI
7 votes -
Vid2Player: Controllable video sprites that behave and appear like professional tennis players
8 votes -
Impact of Go AI on the professional Go world
11 votes -
Lo-Fi Player
9 votes -
Sendgrid under siege from hacked accounts
7 votes -
TietoEVRY, a software company from Finland, has developed a new font called Polite Type which uses machine learning to rewrite offensive language into more inclusive forms
10 votes -
The Eliza Effect
10 votes -
Big Bird: Transformers for Longer Sequences
4 votes -
TrojanNet – A simple yet effective attack on machine learning models
5 votes -
Facebook has an internal simulation of the site populated entirely by bots that they're using to test the effects of possible changes
8 votes