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297.
New memristors mimic brain cells for better computers
Scientists build stable, low-power memristors to help artificial neural networks learn new things without forgetting old ones.
297.
Reinforcement learning pioneers win ACM Turing award
Andrew Barto and Richard Sutton earned the 2024 ACM A.M. Turing Award. This prize honors their work on reinforcement learning.
297.
AI tool helps scientists discover faster
Researchers create an AI that reads studies, analyzes data, and predicts molecule behavior to speed up science.
297.
Elon Musk unveils Grok 3
Performance benchmarks displayed during the event showed Grok 3 outperforming rivals in math, science, and coding tasks.
297.
Latent reasoning: language models that think?
Preliminary research suggests a new path for language models, combining internal reasoning with traditional word generation.
297.
Cheap open AI matches OpenAI and DeepSeek in some tests
AI researchers started with a free Qwen model and used distillation to make a new AI model for less than $50 in cloud computing costs.
297.
Rat vision is still more efficient than machine vision
AI can mimic natural vision but does so differently than biological systems do. Learning from how animals see could help improve AI.
297.
DeepSeek: a Sputnik moment for AI and a wake-up call
DeepSeek's R1 has shocked the tech world and disrupted the stock market with the astonishingly low cost of development they claimed.
48.
Deepseek LLM released – 671 billion parameters ✔, outperforms OpenAI on benchmarks✔, MIT-licensed ✔
DeepSeek has released the R1 set of AI models. They are open-source and perform above OpenAI's on tests of mathematical and coding ability
297.
Seeing inside the black box of deep neural networks
Researchers have found a way to visualize how deep neural networks organize information, which helps spotting errors.