Abstract: This letter presents a novel framework for deploying transfer learning (TL) at the network edge using field-programmable gate array (FPGA) partial reconfiguration. While deep learning (DL) ...
AI/ML are driving a steep ramp in neural processing unit (NPU) design activity for everything from data centers to edge ...
Abstract: Deep reinforcement learning (DRL) has revolutionized end-to-end self-learning in most AI tasks, but existing algorithms like Proximal Policy Optimization (PPO) suffer from data inefficiency ...
Elon Musk says social platform X will open-source a new recommendation algorithm within seven days, exposing all code behind organic and ad post suggestions and updating it every four weeks with ...
Jan 10 (Reuters) - Elon Musk said on Saturday that social media platform X will open to the public its new algorithm, including all code for organic and advertising post recommendations, in seven days ...
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An overview of our research on agentic RL. In this work, we systematically investigate three dimensions of agentic RL: data, algorithms, and reasoning modes. Our findings reveal: Real end-to-end ...
An AI model that learns without human input—by posing interesting queries for itself—might point the way to superintelligence. Save this story Save this story Even the smartest artificial intelligence ...
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