Improving Mathematical Reasoning with Process Supervision
Test Information Space
RAPHAEL: Text-to-Image Generation via Large Mixture of Diffusion Paths
Trust within human-machine collectives depends on the perceived consensus about cooperative norms
Meta-MeTTa: an operational semantics for MeTTa
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Google Search Labs Screenshot
Ultra-low-cost mechanical smartphone attachment for no-calibration blood pressure measurement
Low-threshold, high-resolution, chronically stable intracortical microstimulation by ultraflexible electrodes
AI Chip Architecture Explained | Hardware, Processors & Memory
Why Generative AI for Chip Design is a Game Changer - Semiwiki
AutoML for neuromorphic computing and application-driven co-design: asynchronous, massively parallel optimization of spiking architectures
cuDNN: Efficient Primitives for Deep Learning
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Chip Placement with Deep Reinforcement Learning
Martin Ford (author) - Wikipedia
Architec
I. J. Good - Wikipedia
Good, I. J. (1966). Speculations concerning the first ultraintelligent machine. In Advances in computers (Vol. 6, pp. 31-88).
Statement on AI Risk | CAIS
Improving Factuality and Reasoning in Language Models through Multiagent Debate
Repairing the Cracked Foundation: A Survey of Obstacles in Evaluation Practices for Generated Text | Journal of Artificial Intelligence Research
ORCa: Glossy Objects as Radiance Field Cameras
Learning to Generate Novel Scientific Directions with Contextualized Literature-based Discovery
Reverse Engineering Self-Supervised Learning
Sophia: A Scalable Stochastic Second-order Optimizer for Language Model Pre-training
Can Transformers Learn to Solve Problems Recursively?
The AI Search Engine You Control | AI Chat & Apps
Language models can explain neurons in language models
Unveiling the Mysteries of AI Neurons: How OpenAI's GPT-4 Automatically Writes and Scores Explanations for GPT-2 Neuron Behavior
Foundation models for reasoning on charts
Deep learning-guided discovery of an antibiotic targeting Acinetobacter baumannii
Model evaluation for extreme risks
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Interpretability Dreams