The Batch: Halloween Special! Monsters of AI Including Tech Giants, Explosive Drones, Surveillance Democracies, Foundation Models
On Halloween, the veil lifts between the spirit and AI worlds, allowing the two to pass through one another. The resulting paranormal — or, as AI practitioners call it, paragaussian — phenomena raise questions like these:
The Batch: Regulating AI, Where the MLEs Are, Real-Time Voice Replacement, Robot Painter
Dear friends, In June, I announced the first Data-centric AI Competition. The deadline for submissions was in early September, and today I’m thrilled to announce the winners!A total of 489 individuals and
AI Has a Web Problem, Google Goes Multimodal, Unfinished Symphony Completed, Transformers Get Faster Still
I’ve seen many friends transition from an academic or research role to a corporate role. The most successful ones adjusted to corporate work by shifting their mindset in a few crucial ways.
Facebook on the Ropes, Tesla Tracks Driver Safety, Amazon Unleashes Guard Bot, Recognizing Outliers
The image below shows two photos of the same gear taken under different conditions. From the point of view of a computer-vision algorithm — as well as the human eye — the imaging setup that produced the picture on the right makes
AI Allocates Covid Tests, Makeup Thwarts Face Recognition, Making Neural Nets Think Harder, NeurIPS Under Fire
In my experience, the most sophisticated decision makers tend to be hypothesis-driven thinkers. They may be engineers solving a technical problem, product designers fulfilling a customer need, or entrepreneurs growing a business. They
Distance Killing, Walmart Revs Driverless Delivery, Neural Net Learns Sense Of Style, UN Versus AI
In my experience, the most sophisticated decision makers tend to be hypothesis-driven thinkers. They may be engineers solving a technical problem, product designers fulfilling a customer need, or entrepreneurs
China Clamps Down on Recommendation Engines, Robot Football, Ethics Survey, Reducing Elder Fall Risk
I invite you to be part of Pie & AI, a series of meetups that bring together members of the global AI community for education and conversation. Pie & AI is a place where you can network with peers, learn best practices from industry
Predicting Climate Change, $500 Billion In AI Sales, Perceptrons Equal Transformers, Computer Vision Stares At The Sun
I’m thrilled to announce the NeurIPS Data-Centric AI Workshop, which will be held on December 14, 2021. You may have heard me speak about data-centric AI, in which we systematically engineer the data that feeds learning algorithms. This workshop is a chance to delve more deeply into the subject.
Tesla's Dancing Robot, Adapting to Climate Change, Asking Language Models Nicely, Machine Unlearning
Building AI products and businesses requires making tough choices about what to build and how to go about it. I’ve heard of two styles: Ready, Aim, Fire: Plan carefully and carry out due diligence. Commit and execute only when you have a high degree of confidence in a direction.
Invasion of the Large Language Models, Can AI Recognize Opioid Addicts?, Better Coffee Through AI
Recently I attended an online celebration of my late grandfather’s life. He had passed away quietly in his sleep in March. Two days later, Coursera was publicly listed on the New York Stock Exchange. And two days after that, my son Neo Atlas Ng was born.
Apple Weakens Privacy, AI's Invention Wins A Patent, Deere All-In For Robot Tractors, Atari-Playing Algo Learns New Trick
Say you’ve trained a learning algorithm and found that it works well on many examples but performs poorly on a particular subset, or slice, of the data. What can you do?
AI Recognizes Race in X-Rays, Robots Do Bees' Work, Transformers Pay Closer Attention, New Research Centers
How much math do you need to know to be a machine learning engineer? It’s always nice to know more math! But there’s so much to learn that, realistically, it’s necessary to prioritize. Here are some thoughts about how you might go
Gunshot Detection Under Fire, AI At The Olympics, AlphaFold Goes Open-Source, Revenge Of The Perceptrons
Since the pandemic started, several friends and teammates have shared with me privately that they were not doing well emotionally. I’m grateful to each person who trusted me enough to tell me this. How about you — are you doing okay?
Face Recognition Audit, Gamers Cheat with AI, Who Rules the Smart City?, Language Learning Generalizes to Other Domains
In earlier letters, I discussed some differences between developing traditional software and AI products, including the challenges of unclear technical feasibility, complex product specification, and need for data to start development.
Amazon's Algorithmic Mismanagement, Brainwaves to Text, OpenAI Drops Robotics, Multi-Scene Synthesis
In a recent letter, I mentioned some challenges to building AI products. These problems are distinct from the issues that arise in building traditional software. They include unclear technical feasibility and complex product specification.