Humans are known to accumulate knowledge over time, which in turn allows them to continuously improve their abilities and ...

Researchers find large language models process diverse types of data, like different languages, audio inputs, images, etc., similarly to how humans reason about complex problems. Like humans, LLMs ...

Research in mice identifies brain circuitry that supports certain reward-based decisions.

and any sudden drops or spikes should be mitigated by the gradual rollout process. The rollout will be completed by the end of August 2021. In a world ruled by algorithms, SEJ brings timely ...

Education has long been one-size-fits-all, but the rise of Artificial Intelligence (AI) is making null that paradigm.

The experimental results show that the P-SAC algorithm can reduce unnecessary exploration of reinforcement learning and can improve the learning ... flying direction and distance of the particle. The ...

CenterNet focuses on detecting the central points of objects and predicting their dimensions, simplifying the detection process and enhancing accuracy. G-RCNN is a recent addition to the R-CNN family, ...

“We introduce our first-generation reasoning models, DeepSeek-R1-Zero and DeepSeek-R1. DeepSeek-R1-Zero, a model trained via large-scale reinforcement learning (RL) without supervised fine-tuning (SFT ...