Microsoft
Large Language Models Shrink: Gopher and RETRO prove lean language models can push boundaries.
DeepMind released three papers that push the boundaries — and examine the issues — of large language models.
Microsoft
Large Language Models Shrink: Gopher and RETRO prove lean language models can push boundaries.
DeepMind released three papers that push the boundaries — and examine the issues — of large language models.
Microsoft
Facebook Doesn't See Your Face: Facebook Disables Face Recognition Services
Facebook disabled face recognition for uploaded photos and videos as well as its retrospective Memories service and promised to delete over 1 billion individual face recognition templates.
Microsoft
GPT-3 for All: GPT-3 NLP Model is Available for Select Azure Users
Microsoft is making GPT-3 available to selected customers through its Azure cloud service.
Microsoft
Facebook Doesn't See Your Face: Facebook Disables Face Recognition Services
Facebook disabled face recognition for uploaded photos and videos as well as its retrospective Memories service and promised to delete over 1 billion individual face recognition templates.
Microsoft
GPT-3 for All: GPT-3 NLP Model is Available for Select Azure Users
Microsoft is making GPT-3 available to selected customers through its Azure cloud service.
Microsoft
AI Engineers Weigh In on AI Ethics: Survey Shows How AI Engineers Feel About Ethical Issues
Machine learning researchers tend to trust international organizations, distrust military forces, and disagree on how much disclosure is necessary when describing new models, a new study found.
Microsoft
AI Engineers Weigh In on AI Ethics: Survey Shows How AI Engineers Feel About Ethical Issues
Machine learning researchers tend to trust international organizations, distrust military forces, and disagree on how much disclosure is necessary when describing new models, a new study found.
Microsoft
User Privacy Versus Child Safety: Apple to scan user phones for images of child abuse.
Apple, which has made a point of its commitment to user privacy, announced that it will scan iPhones for evidence of child abuse. The tech giant will include a machine learning model on the device.
Microsoft
User Privacy Versus Child Safety: Apple to scan user phones for images of child abuse.
Apple, which has made a point of its commitment to user privacy, announced that it will scan iPhones for evidence of child abuse. The tech giant will include a machine learning model on the device.
Microsoft
24/7 Phish Fry: How Nestle built an AI-Powered phishing detector with Azure.
Foiling attackers who try to lure email users into clicking on a malicious link is a cat-and-mouse game, as phishing tactics evolve to evade detection. But machine learning models designed to recognize phishing attempts can evolve, too, through automatic retraining and checks to maintain accuracy.
Microsoft
24/7 Phish Fry: How Nestle built an AI-Powered phishing detector with Azure.
Foiling attackers who try to lure email users into clicking on a malicious link is a cat-and-mouse game, as phishing tactics evolve to evade detection. But machine learning models designed to recognize phishing attempts can evolve, too, through automatic retraining and checks to maintain accuracy.
Microsoft
Sharper Eyes For Vision+Language: AI research shows improved image and text matching.
Models that interpret the interplay of words and images tend to be trained on richer bodies of text than images. Recent research worked toward giving such models a more balanced knowledge of the two domains.
Microsoft
Sharper Eyes For Vision+Language: AI research shows improved image and text matching.
Models that interpret the interplay of words and images tend to be trained on richer bodies of text than images. Recent research worked toward giving such models a more balanced knowledge of the two domains.
Microsoft
Pain Points in Black and White: Medical AI system predicts knee pain from Black patients.
A model designed to assess medical patients’ pain levels matched the patients’ own reports better than doctors’ estimates did — when the patients were Black.
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