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AI is designing radio chips that humans couldn’t even imagine
Freed from intelligibility and aesthetics, AI designs faster ...
Abstract: Learning-based methods, particularly Reinforcement Learning (RL), hold great promise for streamlining deployment, enhancing performance, and achieving generalization in the control of ...
New research explains why AI models don't just hallucinate randomly but converge on the same invented names repeatedly. The pattern stems from how LLMs ...
Abstract: In multi-robot systems (MRS) operating across various applications, real-time task allocation and path planning pose significant challenges, often requiring extensive human intervention ...
DR Tulu-8B is the first open Deep Research (DR) model trained for long-form DR tasks. DR Tulu-8B matches OpenAI DR on long-form DR benchmarks. Feburary 9, 2026: 🔥 We released a free interactive demo ...
Multi-Pass Deep Q-Networks (MP-DQN) fixes the over-paramaterisation problem of P-DQN by splitting the action-parameter inputs to the Q-network using several passes (in a parallel batch). Split Deep ...
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