Google's DeepMind uses Deep Reinforcement Learning to teach robots soccer skills and strategies
DeepMind trained miniature humanoid robots with 20 controllable joints to play soccer...
A closer look at the retina's role in compressing and transmitting visual data to the brain
The retina compresses a significant amount of visual information...
A novel approach extends memory and enables multi-step reasoning in large language models
Self-Notes method addresses limitations in context memory and multi-step reasoning in large...
Deep learning visionary leaves tech giant after a decade, voicing new concerns over AI's potential risks
Geoffrey Hinton, a pioneer of deep learning and AI,...
Analyzing the Properties of Contrastive Learning and Masked Image Modeling in Vision Transformers and Their Potential Synergy
The study compares self-supervised learning methods Contrastive Learning...
Recurrent Memory Transformer Enables Unprecedented Context Length in NLP Models
Researchers have applied recurrent memory to BERT, extending the model's context length to an impressive...
Study Reveals Anxiety-Inducing Prompts Increase Exploration and Bias in GPT-3.5
GPT-3.5 displays higher anxiety scores than human subjects when subjected to a common anxiety questionnaire.
Emotion-inducing...
Large Pre-trained Language Models Tackle Biological Inference for Rare Tissues with Limited Data
CancerGPT, a few-shot learning approach, uses LLMs to predict drug pair synergy...
Behavior Expectation Bounds Framework Reveals Fundamental Challenges in AI Safety
Behavior Expectation Bounds (BEB) framework introduced to investigate inherent characteristics and limitations of alignment in...
Multipurpose Backbone for a Wide Range of Computer Vision Tasks Without Fine-tuning
Key Points:
Meta AI announces DINOv2, a self-supervised vision transformer model for various computer...
UCSD Researchers Develop a Tool That Turns GPT-4 Text into Real-time Interactive Node-link Diagrams
UCSD researchers have developed Graphologue to address the limitations of text-based...
