- DT #76:
Dynamically Typed Hiatus
(Oct 10, 2021)
- DT #75:
OpenAI's book summaries for the alignment problem, Translatotron 2, and AI-generated movie posters
(Sep 26, 2021)
- DT #74:
Apple's privacy-focused facial recognition, DeepMind's multimodal Perceiver IO, and sea ice forecasting with IceNet
(Sep 12, 2021)
- DT #73:
Merlin for sound-based bird identification, CCAI's big climate grant, and finger spelling with AI
(Aug 29, 2021)
- DT #72:
Towards talking to computers with OpenAI Codex
(Aug 15, 2021)
- DT #71:
The AlphaFold Protein Structure Database, OpenAI Triton, and a CLIP "Tour of the Sacred Library"
(Aug 1, 2021)
- DT #70:
Karpathy on Tesla Autopilot at CVPR'21, Distill's hiatus, and tattling on Flemish Scrollers using computer vision
(Jul 18, 2021)
- DT #69:
GitHub Copilot + OpenAI Codex = Microsoft synergy?
(Jul 4, 2021)
- DT #68:
What's socially acceptable for a language model to say?
(Jun 20, 2021)
- DT #67:
Has AI helped fight the COVID-19 pandemic?
(Jun 6, 2021)
- DT #66:
Google's controversial dermatology app, Twitter's AI feature removal, and a Dropbox image search deep-dive
(May 23, 2021)
- DT #65:
Live (jargon) transcription in Microsoft Teams, the EU's Artificial Intelligence Act, and NVIDIA's AI Art Gallery
(May 9, 2021)
- DT #64:
Google's tips for reducing the CO2 emissions of training AI models
(Apr 25, 2021)
- DT #63:
Three times Distill: Multimodal neurons, branch specialization, and weight banding
(Apr 11, 2021)
- DT #62:
4.5 billion GPT-3 words a day, Moore's Law for Everything, and Nothing Breaks like an AI heart
(Mar 28, 2021)
- DT #61:
The climate opportunity of gargantuan AI models
(Mar 14, 2021)
- DT #60:
Google Pixel car crash detection, Model Search for TensorFlow, an a movie frame search engine
(Feb 28, 2021)
- DT #59:
A visual search engine, Google's camera-based vitals measurements, and two AI lab tooling long reads
(Feb 14, 2021)
- DT #58:
Partnership on AI's AI Incident Database, and lots of productized AI
(Jan 31, 2021)
- DT #57:
DALLΒ·E and CLIP, OpenAI's new multimodal neural networks
(Jan 17, 2021)
- DT #56:
My new job in climate AI!
(Jan 3, 2021)
- DT #55:
DeepMind's structural biology breakthrough with AlphaFold 2
(Dec 20, 2020)
- DT #54:
Google AI's ethics crisis, an adversarial attack on deepfake detectors, and Stanford's OGNet climate project
(Dec 6, 2020)
- DT #53:
Runway ML's Green Screen, new tools from EMNLP, and tracking illegal cattle farming with AI
(Nov 22, 2020)
- DT #52:
The 2020 State of AI report, Microsoft's Lobe visual ML model editor, and the Open Catalyst Project
(Nov 8, 2020)
- DT #51:
Photoshop's new AI features, Descript for video, and AR copy & paste with ClipDrop
(Oct 25, 2020)
- DT #50:
Microsoft exclusively licenses OpenAI's GPT-3, Amsterdam's AI registry, and cloud nowcasting progress
(Oct 11, 2020)
- DT #49:
Movement in autonomous trucking, Microsoft's DeepSpeed update, and Transformers as Graph Neural Networks
(Sep 27, 2020)
- DT #48:
Microsoft's deepfake detection app, the economics of AI startups, and 3x ML for climate change
(Sep 13, 2020)
- DT #47:
Facebook's AI Red Team, predictions of future AI crimes, and TensorFlow's new TF-Coder tool
(Aug 30, 2020)
- DT #46:
Snapchat's machine learning platform, AI at Apple, and an energy consumption tool for ML research
(Aug 16, 2020)
- DT #45:
Al Gore's Climate TRACE coalition, Papers with Code's Methods, and lots of productized AI
(Aug 2, 2020)
- DT #44:
One month in, GPT-3-powered OpenAI API demos take the web by storm
(Jul 19, 2020)
- DT #43:
One AI model, four competing services
(Jul 5, 2020)
- DT #42:
Facial recognition exodus, OpenAI's new GPT-3 language model, and Oil in the Cloud
(Jun 21, 2020)
- DT #41:
Black Lives Matter: highlighting ML/AI products, research and climate projects by Black creators
(Jun 7, 2020)
- DT #40:
Pinterest's ML for board organization, GAN-aided pixel art, and Bayesian optimization gets the Distill treatment
(May 24, 2020)
- DT #39:
Cloudflare's ML to block bad bots, 3x satellite-based environmental monitoring, and AR Face Doodles
(May 10, 2020)
- DT #38:
Gender bias reductions in Google Translate, Facebook's bot simulation, and ML-based detection of battery degradation
(Apr 26, 2020)
- DT #37:
OpenAI's neural network taxonomy, decoding text from brain implants, and models that don't exist
(Apr 12, 2020)
- DT #36:
Google releases TensorFlow Quantum, Software 2.0 at Plumerai, and encoding scenes in neural networks
(Mar 29, 2020)
- DT #35:
Completely automatic video background removal with unscreen, and circuits for understanding neural networks
(Mar 15, 2020)
- DT #34:
Google's app for detecting fake news memes, an AI for logical reasoning, and Microsoft's library for training trillion-parameter models
(Mar 1, 2020)
- DT #33:
Billie Eilish answers AI-generated interview questions, visual search for aerial imagery, and the Tech Won't Drill It pledge
(Feb 16, 2020)
- DT #32:
Google's chatbot gets punny, GitHub finds good first issues, and Tinder targets toxicity
(Feb 2, 2020)
- DT #31:
Uber's Generative Teaching Networks, ML Super Resolution in Pixelmator Pro, and Evolve Energy
(Jan 19, 2020)
- DT #30:
Climate Change AI at NeurIPS 2019 (Special Edition)
(Jan 5, 2020)
- DT #29:
BNNs and visual abstractions at NeurIPS 2019, and petabytes of climate data on Google Cloud
(Dec 22, 2019)
- DT #28:
OCR for LaTeX equations, Night Sight for astrophotography, and a GPT-2-powered text adventure
(Dec 8, 2019)
- DT #27:
Google's Teachable Machine 2.0, OpenAI's GPT-2 XL, and capturing solar energy with AI
(Nov 26, 2019)
- DT #26:
Chollet's Measure of Intelligence, and BERT in Google Search
(Nov 10, 2019)
- DT #25:
AI-powered rainforest monitoring, Google's Pixel 4, and OpenAI's Rubik's cube-solving robot hand
(Oct 27, 2019)
- DT #24:
Descript's new podcast studio, TensorFlow and PyTorch updates, and more climate resources
(Oct 13, 2019)
- DT #23:
Robotic raspberry and lettuce pickers, 2.5 billion objects in Pinterest Lens, and an analysis of the AI reproducibility crisis
(Sep 29, 2019)
- DT #22:
Mobile apps that identify plant species, AI-powered posture correction, and my new job!
(Sep 15, 2019)
- DT #21:
DeepMind's ML for drug discovery, security leaks in neural networks, and Green AI
(Sep 1, 2019)
- DT #20:
DeepMind's new podcast, AR navigation in Google Maps, and an AI Sowing App from India
(Aug 18, 2019)
- DT #19:
Microsoft's $1B OpenAI investment, Lyft's dataset, and what makes a peacock a peacock?
(Aug 4, 2019)
- DT #18:
Runway ML's "app store" for AI, Google's new YouTube dataset, and a trippy GAN journey
(Jul 21, 2019)
- DT #17:
GANPaint Studio, collaborative sketching with AI, and a survey of ML testing
(Jul 7, 2019)
- DT #16:
Finding whales with AI, and 97 pages of ML for climate change
(Jun 23, 2019)
- DT #15:
Neural avatars, AI on the edge, and Apple's new Create ML app
(Jun 9, 2019)
- DT #14:
Artificial intelligence for medicine and the climate crisis
(May 26, 2019)
- DT #13:
Caption this: new AI-powered features at Google I/O, and OpenAI's staged GPT-2 release
(May 12, 2019)
- DT #12:
OpenAI introduces Mozart to Lady Gaga, and Google takes your best duck-face selfies for you
(Apr 28, 2019)
- DT #11:
Adobe and Google's new video AI tools, Stanford's HYPE for GANs, and a conversation with books
(Apr 14, 2019)
- DT #10:
A Turing Award for deep learning, and a bitter lesson for AI research?
(Mar 31, 2019)
- DT #9:
OpenAI and Google's activation atlases, a16z's ML startup investments, and Microsoft's AI pipeline
(Mar 17, 2019)
- DT #8:
Should OpenAI open-source their impressive new language model?
(Mar 3, 2019)
- DT #7:
No code, no problem: from indie makers to machine learning
(Feb 17, 2019)
- DT #6:
Deep reinforcement learning, from an Atari zoo to a self-driving car in 20 minutes
(Feb 3, 2019)
- DT #5:
Hey Google, what's a Golden Kitty?
(Jan 20, 2019)
- DT #4:
GAN you feel the love tonight?
(Jan 6, 2019)
- DT #3:
Happy holidays!
(Dec 23, 2018)
- DT #2:
Would you like some dip with your AI chips?
(Dec 9, 2018)
- DT #1:
Hello, World!
(Nov 25, 2018)