Jun 24, 2020
Misleading Metrics: Advances in metric learning may be illusions.
A growing body of literature shows that some steps in AI’s forward march may actually move sideways. A new study questions advances in metric learning.
Jun 24, 2020
14 Posts
Jun 24, 2020
Misleading Metrics: Advances in metric learning may be illusions.
A growing body of literature shows that some steps in AI’s forward march may actually move sideways. A new study questions advances in metric learning.
Jun 24, 2020
Baidu Leaves Partnership on AI: Chinese tech giant exits a consortium on AI bias and privacy.
Baidu backed out of a U.S.-led effort to promote ethics in AI, leaving the project without a Chinese presence. The Beijing-based search giant withdrew from the Partnership on AI, a consortium that promotes cooperation on issues like digital privacy and algorithmic bias.
Jun 24, 2020
Mapping AI’s Talent Pipeline: The global AI talent tracker traces education and employment.
China launches most of AI’s top researchers, but the U.S. is their number-one destination. U.S.-based research group MacroPolo published the Global AI Talent Tracker. The report traces international trends in education and employment among elite engineers.
Jun 24, 2020
Tech Giants Face Off With Police: Amazon and Microsoft halt face recognition for police.
Three of the biggest AI vendors pledged to stop providing face recognition services to police — but other companies continue to serve the law-enforcement market.
Jun 24, 2020
The Batch: Who Still Sells Face Recognition to Police?, AI's Talent Pipeline, Misleading Research, Scaling Models from Serve
I was dismayed on Monday to read that the U.S. is suspending the H1-B visa program at least through the end of the year. This effort to discourage immigration can only bring distress to workers from other countries and harm to the U.S.
Jun 24, 2020
Build Once, Run Anywhere: The Once-For-All technique adapts AI models to edge devices.
From server to smartphone, devices with less processing speed and memory require smaller networks. Instead of building and training separate models to run on a variety of hardware, a new approach trains a single network that can be adapted to any device.
Jun 24, 2020
Why We Need H1-B Visas
I was dismayed on Monday to read that the U.S. is suspending the H1-B visa program at least through the end of the year. This effort to discourage immigration can only bring distress to workers from other countries and harm to the U.S.
Jun 24, 2020
Tech Giants Face Off With Police: Amazon and Microsoft halt face recognition for police.
Three of the biggest AI vendors pledged to stop providing face recognition services to police — but other companies continue to serve the law-enforcement market.
Jun 24, 2020
Why We Need H1-B Visas
I was dismayed on Monday to read that the U.S. is suspending the H1-B visa program at least through the end of the year. This effort to discourage immigration can only bring distress to workers from other countries and harm to the U.S.
Jun 24, 2020
Baidu Leaves Partnership on AI: Chinese tech giant exits a consortium on AI bias and privacy.
Baidu backed out of a U.S.-led effort to promote ethics in AI, leaving the project without a Chinese presence. The Beijing-based search giant withdrew from the Partnership on AI, a consortium that promotes cooperation on issues like digital privacy and algorithmic bias.
Jun 24, 2020
Mapping AI’s Talent Pipeline: The global AI talent tracker traces education and employment.
China launches most of AI’s top researchers, but the U.S. is their number-one destination. U.S.-based research group MacroPolo published the Global AI Talent Tracker. The report traces international trends in education and employment among elite engineers.
Jun 24, 2020
The Batch: Who Still Sells Face Recognition to Police?, AI's Talent Pipeline, Misleading Research, Scaling Models from Serve
I was dismayed on Monday to read that the U.S. is suspending the H1-B visa program at least through the end of the year. This effort to discourage immigration can only bring distress to workers from other countries and harm to the U.S.
Jun 24, 2020
Build Once, Run Anywhere: The Once-For-All technique adapts AI models to edge devices.
From server to smartphone, devices with less processing speed and memory require smaller networks. Instead of building and training separate models to run on a variety of hardware, a new approach trains a single network that can be adapted to any device.
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