Tech & Society
Makers of self-driving cars predicted a quick race to the finish line, but their vehicles are far from the homestretch. A few years ago, some car companies promised road-ready autonomous vehicles as early as 2017.
Tech & Society
An international wave of anti-surveillance sentiment pushed back against the proliferation of face recognition systems.
Tech & Society
Earlier language models powered by Word2Vec and GloVe embeddings yielded confused chatbots, grammar tools with middle-school reading comprehension, and not-half-bad translations. The latest generation is so good, some people consider it dangerous.
Letters
We here at deeplearning.ai wish you a wonderful holiday season. As you consider your New Year’s resolutions and set goals for 2020, consider not just what you want to do, but what you want to learn...
The Batch Newsletter
We here at deeplearning.ai wish you a wonderful holiday season. As you consider your New Year’s resolutions and set goals for 2020, consider not just what you want to do, but what you want to learn: What courses do you want to take this year?
Tech & Society
The number of patents issued for deep learning has doubled every year since 2013. Inventor, engineer, and lawyer Nick Brestoff tracks deep learning patents. He detailed his findings in a blog on InsideBigData and offers advice on how to get patent applications approved.
Machine Learning Research
Reinforcement learning trains models by trial and error. In batch reinforcement learning (BRL), models learn by observing many demonstrations by a variety of actors. But what if one doctor is handier with a scalpel while another excels at suturing?
Tech & Society
Some politicians view international competition in AI as an arms race. That mindset could lead to escalating conflict, experts said.
Tech & Society
As language models show increasing power, a parallel trend has received less notice: The vogue for naming models after characters in the children’s TV show Sesame Street.
Machine Learning Research
The previous state-of-the-art image classifier was trained on the ImageNet dataset plus 3.5 billion supplemental images from a different database. A new method achieved higher accuracy with one-tenth as many supplemental examples — and they were unlabeled, to boot.
Tech & Society
More and more companies are developing machine learning models for internal use. But many are still struggling to bridge the gap to practical deployments.
Letters
I’ve been reflecting on the NeurIPS 2019 conference, which ended on Saturday. It’s always a wonderful event, but this year I found it a bittersweet experience. Bitter because the conference has grown so much that we no longer focus on...