AI1 min read
With most information hidden, the game Stratego had stumped AI—until now
Adding in a second neural network that guesses the identity of hidden pieces was key.
From Ars Technica AI
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AI1 min read
Adding in a second neural network that guesses the identity of hidden pieces was key.
From Ars Technica AI
AI1 min read
Sakana AI researchers introduced PC-ALM, a layer-local training method for deep networks that achieves performance comparable to backpropagation up to 1000 layers on MNIST. The research provides a JAX implementation for experimentation and benchmarking.
From MarkTechPost
How this blog is made
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OpenAI has purchased smartphone camera maker Glass Imaging for $300 million, leveraging expertise from former Apple engineers to improve smartphone camera image quality using AI. This acquisition aligns with OpenAI’s rumored development of its own hardware devices.
From TechCrunch AI
Research1 min read
Researchers developed a hybrid model combining a simplified kinematic model with neural networks to estimate body center of mass acceleration from wrist-worn IMU data. The model achieved improved accuracy compared to the simplified model, particularly under noisy conditions.
From arXiv cs.AI
AI1 min read
The Fly Language Model (FLM) integrates the complete MaleCNS fly connectome into a frozen 1.2B LLM. Experiments demonstrate that the connectome’s influence is minimal compared to a direct-input control, highlighting the importance of the underlying language model.
From MarkTechPost
Research1 min read
arXiv:2609.10657v1 Announce Type: new Abstract: Neural networks trained past memorization frequently undergo a delayed transition to generalization, a phenomenon known as grokking. Despite theoretical progress on \emph{why} this transiti...
From arXiv cs.AI
Research1 min read
arXiv:2609.09589v1 Announce Type: new Abstract: Deep neural networks exhibit regular macroscopic behavior despite highly nonlinear dynamics in vast parameter spaces. We develop a statistical-mechanical description of learning directly in...
From arXiv cs.AI
Research1 min read
This paper proposes that the structure of physical interactions, represented by Jacobians, shapes phenomenal experience within a simulated neural network environment, Gradland. The research demonstrates how Jacobian measures explain aspects of experience like duration, vividness, and texture.
From arXiv cs.AI
Research1 min read
Replacing continuous state propagation with 4-bit storage in recurrent networks significantly increases estimation errors, highlighting the importance of state interface design in quantized inference.
From arXiv cs.AI
LLMs1 min read
NeoMME is a new encoder designed for multimodal and multilingual tasks, aiming to improve efficiency and integration in model systems.
From Hugging Face blog
AI1 min read
Assistant Professor Pat Pataranutaporn describes a new interface that lets everyday users glimpse inside an AI's neural network before their chatbot ever says a word.
From MIT News: artificial intelligence
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