Adversarial Helper: Adversarial learning can improve vision and NLP.
Language

Adversarial Helper: Adversarial learning can improve vision and NLP.

Models that learn relationships between images and words are gaining a higher profile. New research shows that adversarial learning, usually a way to make models robust to deliberately misleading inputs, can boost vision-and-language performance.

January 20, 20212 min read
Adversarial Helper: Adversarial learning can improve vision and NLP.
Language

Adversarial Helper: Adversarial learning can improve vision and NLP.

Models that learn relationships between images and words are gaining a higher profile. New research shows that adversarial learning, usually a way to make models robust to deliberately misleading inputs, can boost vision-and-language performance.

January 20, 20212 min read
Tell Me a Picture: OpenAI's two new multimodal AI models, CLIP and DALL·E
Language

Tell Me a Picture: OpenAI's two new multimodal AI models, CLIP and DALL·E

Two new models show a surprisingly sharp sense of the relationship between words and images. OpenAI, the for-profit research lab, announced a pair of models that have produced impressive results in multimodal learning: DALL·E.

January 13, 20212 min read
Tell Me a Picture: OpenAI's two new multimodal AI models, CLIP and DALL·E
Language

Tell Me a Picture: OpenAI's two new multimodal AI models, CLIP and DALL·E

Two new models show a surprisingly sharp sense of the relationship between words and images. OpenAI, the for-profit research lab, announced a pair of models that have produced impressive results in multimodal learning: DALL·E.

January 13, 20212 min read
Online Clues to Mental Illness: NLP model spots signs of mental illness in Facebook posts.
Language

Online Clues to Mental Illness: NLP model spots signs of mental illness in Facebook posts.

Can social media posts reveal early signs of mental illness? A new machine learning model shows promising results. Researchers developed a model that analyzes messages and images posted by Facebook users for indicators of psychological problems.

January 6, 20212 min read
Online Clues to Mental Illness: NLP model spots signs of mental illness in Facebook posts.
Language

Online Clues to Mental Illness: NLP model spots signs of mental illness in Facebook posts.

Can social media posts reveal early signs of mental illness? A new machine learning model shows promising results. Researchers developed a model that analyzes messages and images posted by Facebook users for indicators of psychological problems.

January 6, 20212 min read
Ilya Sutskever: OpenAI’s co-founder on building multimodal AI models
Language

Ilya Sutskever: OpenAI’s co-founder on building multimodal AI models

The past year was the first in which general-purpose models became economically useful. GPT-3, in particular, demonstrated that large language models have surprising linguistic competence and the ability to perform a wide variety of useful tasks.

December 30, 20202 min read
Ilya Sutskever: OpenAI’s co-founder on building multimodal AI models
Language

Ilya Sutskever: OpenAI’s co-founder on building multimodal AI models

The past year was the first in which general-purpose models became economically useful. GPT-3, in particular, demonstrated that large language models have surprising linguistic competence and the ability to perform a wide variety of useful tasks.

December 30, 20202 min read
Harry Shum: Tsinghua University’s Harry Shum on how AI is changing creativity
Language

Harry Shum: Tsinghua University’s Harry Shum on how AI is changing creativity

In 2021, I envision that the AI community will create more tools to unleash human creativity. AI will help people across the globe to communicate and express emotions and moods in their own unique ways.

December 30, 20202 min read
Harry Shum: Tsinghua University’s Harry Shum on how AI is changing creativity
Language

Harry Shum: Tsinghua University’s Harry Shum on how AI is changing creativity

In 2021, I envision that the AI community will create more tools to unleash human creativity. AI will help people across the globe to communicate and express emotions and moods in their own unique ways.

December 30, 20202 min read
Stanford professor Fei-Fei on how a national research cloud would boost AI
Language

Stanford professor Fei-Fei on how a national research cloud would boost AI

The United States has been a leader in science and technology for decades, and all nations have benefitted from its innovations. But U.S. leadership in AI is not guaranteed.

December 30, 20202 min read
Stanford professor Fei-Fei on how a national research cloud would boost AI
Language

Stanford professor Fei-Fei on how a national research cloud would boost AI

The United States has been a leader in science and technology for decades, and all nations have benefitted from its innovations. But U.S. leadership in AI is not guaranteed.

December 30, 20202 min read
Writer’s Unblock: Language models keep getting bigger and better.
Language

Writer’s Unblock: Language models keep getting bigger and better.

Neural networks for natural language processing got bigger, more prolific, and more fun to play with. Language models, which already had grown to gargantuan size, continued to swell, yielding chatbots that mimic AI luminaries and have very strange ideas about horses.

December 23, 20201 min read
Writer’s Unblock: Language models keep getting bigger and better.
Language

Writer’s Unblock: Language models keep getting bigger and better.

Neural networks for natural language processing got bigger, more prolific, and more fun to play with. Language models, which already had grown to gargantuan size, continued to swell, yielding chatbots that mimic AI luminaries and have very strange ideas about horses.

December 23, 20201 min read
Representing the Underrepresented: Many important AI datasets contain bias.
Language

Representing the Underrepresented: Many important AI datasets contain bias.

Some of deep learning’s bedrock datasets came under scrutiny as researchers combed them for built-in biases. Researchers found that popular datasets impart biases against socially marginalized groups to trained models due to the ways the datasets were compiled, labeled, and used.

December 23, 20202 min read

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