Letters
Why AI Projects Fail, Part 5: Change Management
My last two letters explored robustness and small data as common reasons why AI projects fail. In the final letter of this three-part series, I’d like to discuss change management.
Analytics DeepLearning.AI
Business
What the Watchbot Sees: How Knightscope security robots use AI for surveillance
Knightscope’s security robots look cute. But these cone-headed automatons, which serve U.S. police departments and businesses, are serious surveillance machines.
Machine Learning Research
Nose Job: AI predicts smell by analyzing a molecule's structure.
Predicting a molecule’s aroma is hard because slight changes in structure lead to huge shifts in perception. Good thing deep learning is developing a sense of smell.
Tech & Society
Researchers Blocked at the Border: Some African AI researchers blocked from attending NeurIPS
Foreign researchers hoping to attend one of AI’s largest conferences were denied entry into Canada, where the event will be held. Most of those blocked were from developing nations.
Tech & Society
When Private Data is Not Private: Google trained Project Nightingale on private patient data.
Google spent the past year training an AI-powered health care program using personal information from one of the largest hospital systems in the U.S. Patients had no idea — until last week.
Machine Learning Research
Beyond the Bounding Box: RPDet and RepPoints for object detection, explained
Computer vision models typically draw bounding boxes around objects they spot, but those rectangles are a crude approximation of an object’s outline. A new method finds keypoints on an object’s perimeter to produce state-of-the-art object classification.
Tech & Society
Blind Spot
In March 2018, one of Uber’s self-driving cars became the first autonomous vehicle reported to have killed a pedestrian. A new report by U.S. authorities suggests that the accident occurred because the car’s software was programmed to ignore jaywalkers.
Business
Spotlight on Stock Scammers
The world’s largest stock market is using AI to flag suspicious trading in real time. Nasdaq is testing a deep learning system to monitor trading of ts U.S. equities. Named Chiron, the system watches for behaviors that indicate potential market manipulation.
Machine Learning Research
Finer Tuning
A word-embedding model typically learns vector representations from a large, general-purpose corpus like Google News. But to make the resulting vectors useful in a specialized domain, they must be fine-tuned on a smaller, domain-specific dataset. Researchers offer a more accurate method.
Tech & Society
Survival of the Overfittest
Neuroevolution, which combines neural networks with ideas drawn from Darwin, is gaining momentum. Its advocates claim that they can achieve faster, better results by generating a succession of new models, each slightly different than its predecessors, rather than relying on a purpose-built model.
Science
Fish Recognition
A deep learning system is helping biologists who survey offshore fish populations to prevent overfishing. The U.S. agency in charge of protecting ocean resources is using an underwater camera and neural network to count fish in real time.
Machine Learning Research
Convolution Revolution
Looking at images, people see outlines before the details within them. A replacement for the traditional convolutional layer decomposes images based on this distinction between coarse and fine features.