Aug 19, 2020
Deepfakes for Good: Tencent on the commercial value of deepfakes
A strategy manifesto from one of China’s biggest tech companies declares, amid familiar visions of ubiquitous AI, that deepfakes are more boon than bane.
Aug 19, 2020
14 Posts
Aug 19, 2020
Same Job, Different Scenery: A reinforcement learning technique for visual changes
People who take driving lessons during daytime don’t need instruction in driving at night. They recognize that the difference doesn’t disturb their knowledge of how to drive. Similarly, a new reinforcement learning method manages superficial variations in the environment without re-training.
Aug 19, 2020
Drones of a Feather: Caltech researchers publish work on drone swarms.
Deep learning is coordinating drones so they can flock together without colliding. Caltech researchers Soon-Jo Chung and Yisong Yue developed a pair of models that enables swarms of networked drones to navigate autonomously through cluttered environments.
Aug 19, 2020
The Batch: Predicting Car Crashes, Profiting From Deepfakes, Piloting Drone Swarms, Grading Data
Last week, I asked what values the AI community stands for. Thank you to everyone who replied! The email responses in aggregate ran to 55 pages of text, and I enjoyed reading all of them.
Aug 19, 2020
Near-Miss Detection: Traffic monitoring AI predicts odds of collisions.
AI is helping avert traffic accidents by assessing the risk of car crashes at specific intersections. MicroTraffic, a Canadian video analytics company, predicts the odds that accidents will occur at intersections that traditional methods overlook.
Aug 19, 2020
Values for the AI Community, Part 2: Readers Respond
Last week, I asked what values the AI community stands for. Thank you to everyone who replied! The email responses in aggregate ran to 55 pages of text, and I enjoyed reading all of them.
Aug 19, 2020
All Examples Are Not Equal: An algorithm for improved semi-supervised learning
Semi-supervised learning — a set of training techniques that use a small number of labeled examples and a large number of unlabeled examples — typically treats all unlabeled examples the same way. But some examples are more useful for learning than others.
Aug 19, 2020
Near-Miss Detection: Traffic monitoring AI predicts odds of collisions.
AI is helping avert traffic accidents by assessing the risk of car crashes at specific intersections. MicroTraffic, a Canadian video analytics company, predicts the odds that accidents will occur at intersections that traditional methods overlook.
Aug 19, 2020
Values for the AI Community, Part 2: Readers Respond
Last week, I asked what values the AI community stands for. Thank you to everyone who replied! The email responses in aggregate ran to 55 pages of text, and I enjoyed reading all of them.
Aug 19, 2020
Drones of a Feather: Caltech researchers publish work on drone swarms.
Deep learning is coordinating drones so they can flock together without colliding. Caltech researchers Soon-Jo Chung and Yisong Yue developed a pair of models that enables swarms of networked drones to navigate autonomously through cluttered environments.
Aug 19, 2020
Deepfakes for Good: Tencent on the commercial value of deepfakes
A strategy manifesto from one of China’s biggest tech companies declares, amid familiar visions of ubiquitous AI, that deepfakes are more boon than bane.
Aug 19, 2020
Same Job, Different Scenery: A reinforcement learning technique for visual changes
People who take driving lessons during daytime don’t need instruction in driving at night. They recognize that the difference doesn’t disturb their knowledge of how to drive. Similarly, a new reinforcement learning method manages superficial variations in the environment without re-training.
Aug 19, 2020
All Examples Are Not Equal: An algorithm for improved semi-supervised learning
Semi-supervised learning — a set of training techniques that use a small number of labeled examples and a large number of unlabeled examples — typically treats all unlabeled examples the same way. But some examples are more useful for learning than others.
Aug 19, 2020
The Batch: Predicting Car Crashes, Profiting From Deepfakes, Piloting Drone Swarms, Grading Data
Last week, I asked what values the AI community stands for. Thank you to everyone who replied! The email responses in aggregate ran to 55 pages of text, and I enjoyed reading all of them.
Subscribe to The Batch
Stay updated with weekly AI News and Insights delivered to your inbox