Microsoft
Cutting the Carbon Cost of Training: A New Tool Helps NLP Models Lower Their Gas Emissions
You can reduce your model’s carbon emissions by being choosy about when and where you train it.
Microsoft
Ethical AI 2.0: Microsoft Revises its Responsible AI Standards
Microsoft tightened the reins on both AI developers and customers.What’s new: The tech titan revised its Responsible AI Standard and restricted access to some AI capabilities accordingly.
Microsoft
Ethical AI 2.0: Microsoft Revises its Responsible AI Standards
Microsoft tightened the reins on both AI developers and customers.What’s new: The tech titan revised its Responsible AI Standard and restricted access to some AI capabilities accordingly.
Microsoft
Meta Decentralizes AI Effort: Meta Restructures its AI Research Teams
The future of Big AI may lie with product-development teams. Meta reorganized its AI division. Henceforth, AI teams will report to departments that develop key products.
Microsoft
Meta Decentralizes AI Effort: Meta Restructures its AI Research Teams
The future of Big AI may lie with product-development teams. Meta reorganized its AI division. Henceforth, AI teams will report to departments that develop key products.
Microsoft
Who Needs Programming? Behind the rise of no-code AI.
The next killer AI application may be developed by someone who has never heard of gradient descent. A rising generation of software development platforms serves users who aren’t familiar with AI — and even programming.
Microsoft
Who Needs Programming? Behind the rise of no-code AI.
The next killer AI application may be developed by someone who has never heard of gradient descent. A rising generation of software development platforms serves users who aren’t familiar with AI — and even programming.
Microsoft
Fake Faces Are Good Training Data: Synthetic data improves face recognition performance.
Collecting and annotating a dataset of facial portraits is a big job. New research shows that synthetic data can work just as well.
Microsoft
Fake Faces Are Good Training Data: Synthetic data improves face recognition performance.
Collecting and annotating a dataset of facial portraits is a big job. New research shows that synthetic data can work just as well.
Microsoft
High Accuracy at Low Power: An energy efficient method for computer vision
Equipment that relies on computer vision while unplugged — mobile phones, drones, satellites, autonomous cars — need power-efficient models. A new architecture set a record for accuracy per computation.
Microsoft
High Accuracy at Low Power: An energy efficient method for computer vision
Equipment that relies on computer vision while unplugged — mobile phones, drones, satellites, autonomous cars — need power-efficient models. A new architecture set a record for accuracy per computation.
Microsoft
Yale Song: Foundation models for vision
Large models pretrained on immense quantities of text have been proven to provide strong foundations for solving specialized language tasks. My biggest hope for AI in 2022 is...
Microsoft
Yale Song: Foundation models for vision
Large models pretrained on immense quantities of text have been proven to provide strong foundations for solving specialized language tasks. My biggest hope for AI in 2022 is...
Microsoft
Yoav Shoham: Language models that reason
I believe that natural language processing in 2022 will re-embrace symbolic reasoning, harmonizing it with the statistical operation of modern neural networks. Let me explain what I mean by this.
Microsoft
Yoav Shoham: Language models that reason
I believe that natural language processing in 2022 will re-embrace symbolic reasoning, harmonizing it with the statistical operation of modern neural networks. Let me explain what I mean by this.
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