DeepMind
Transformers Take Over: Transformers Applied to Vision, Language, Video, and More
In 2021, transformers were harnessed to discover drugs, recognize speech, and paint pictures — and much more.
DeepMind
Transformers Take Over: Transformers Applied to Vision, Language, Video, and More
In 2021, transformers were harnessed to discover drugs, recognize speech, and paint pictures — and much more.
DeepMind
Multimodal AI Takes Off: Multimodal Models, such as CLIP and DALL·E, are taking over AI.
While models like GPT-3 and EfficientNet, which work on text and images respectively, are responsible for some of deep learning’s highest-profile successes, approaches that find relationships between text and images made impressive
DeepMind
Multimodal AI Takes Off: Multimodal Models, such as CLIP and DALL·E, are taking over AI.
While models like GPT-3 and EfficientNet, which work on text and images respectively, are responsible for some of deep learning’s highest-profile successes, approaches that find relationships between text and images made impressive
DeepMind
Image Transformations Unmasked: CNNs for vision that aren't fooled by changing backgrounds.
If you change an image by moving its subject within the frame, a well trained convolutional neural network may not recognize the fundamental similarity between the two versions. New research aims to make CNN wise to such alterations.
DeepMind
Image Transformations Unmasked: CNNs for vision that aren't fooled by changing backgrounds.
If you change an image by moving its subject within the frame, a well trained convolutional neural network may not recognize the fundamental similarity between the two versions. New research aims to make CNN wise to such alterations.
DeepMind
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.
DeepMind
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.
DeepMind
A Deeper Look at Graphs: Graph Neural Networks Work Better With More Layers
New research shows that drastically increasing the number of layers in a graph neural networks improves its performance on large datasets.
DeepMind
A Deeper Look at Graphs: Graph Neural Networks Work Better With More Layers
New research shows that drastically increasing the number of layers in a graph neural networks improves its performance on large datasets.
DeepMind
DeepMind Doubles Down on AlphaFold: DeepMind Launches Company to Commercialize AlphaFold 2
Isomorphic aims to build its business on AlphaFold 2, an ensemble of neural networks that finds the shapes of protein molecules.
DeepMind
DeepMind Doubles Down on AlphaFold: DeepMind Launches Company to Commercialize AlphaFold 2
Isomorphic aims to build its business on AlphaFold 2, an ensemble of neural networks that finds the shapes of protein molecules.
DeepMind
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.
DeepMind
Team Players: Football-Playing AI Blends Individual and Group Skills
Playing a team sport involves a fluid blend of individual and group skills. Researchers integrated both types of action into realistic humanoid agents that play football (known as soccer in the U.S.).
DeepMind
Team Players: Football-Playing AI Blends Individual and Group Skills
Playing a team sport involves a fluid blend of individual and group skills. Researchers integrated both types of action into realistic humanoid agents that play football (known as soccer in the U.S.).
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