The rise and potential of large language model based agents: A survey

Z **, W Chen, X Guo, W He, Y Ding, B Hong… - Science China …, 2025 - Springer
For a long time, researchers have sought artificial intelligence (AI) that matches or exceeds
human intelligence. AI agents, which are artificial entities capable of sensing the …

Interpreting black-box models: a review on explainable artificial intelligence

V Hassija, V Chamola, A Mahapatra, A Singal… - Cognitive …, 2024 - Springer
Recent years have seen a tremendous growth in Artificial Intelligence (AI)-based
methodological development in a broad range of domains. In this rapidly evolving field …

Champion-level drone racing using deep reinforcement learning

E Kaufmann, L Bauersfeld, A Loquercio, M Müller… - Nature, 2023 - nature.com
First-person view (FPV) drone racing is a televised sport in which professional competitors
pilot high-speed aircraft through a 3D circuit. Each pilot sees the environment from the …

Understanding of machine learning with deep learning: architectures, workflow, applications and future directions

MM Taye - Computers, 2023 - mdpi.com
In recent years, deep learning (DL) has been the most popular computational approach in
the field of machine learning (ML), achieving exceptional results on a variety of complex …

Augmented language models: a survey

G Mialon, R Dessì, M Lomeli, C Nalmpantis… - arxiv preprint arxiv …, 2023 - arxiv.org
This survey reviews works in which language models (LMs) are augmented with reasoning
skills and the ability to use tools. The former is defined as decomposing a potentially …

Spikingjelly: An open-source machine learning infrastructure platform for spike-based intelligence

W Fang, Y Chen, J Ding, Z Yu, T Masquelier… - Science …, 2023 - science.org
Spiking neural networks (SNNs) aim to realize brain-inspired intelligence on neuromorphic
chips with high energy efficiency by introducing neural dynamics and spike properties. As …

[PDF][PDF] Theory of mind may have spontaneously emerged in large language models

M Kosinski - arxiv preprint arxiv:2302.02083, 2023 - arxiv.org
Theory of mind (ToM), or the ability to impute unobservable mental states to others, is central
to human social interactions, communication, empathy, self-consciousness, and morality …

Machine learning methods for small data challenges in molecular science

B Dou, Z Zhu, E Merkurjev, L Ke, L Chen… - Chemical …, 2023 - ACS Publications
Small data are often used in scientific and engineering research due to the presence of
various constraints, such as time, cost, ethics, privacy, security, and technical limitations in …

The future transistors

W Cao, H Bu, M Vinet, M Cao, S Takagi, S Hwang… - Nature, 2023 - nature.com
The metal–oxide–semiconductor field-effect transistor (MOSFET), a core element of
complementary metal–oxide–semiconductor (CMOS) technology, represents one of the …

Faster sorting algorithms discovered using deep reinforcement learning

DJ Mankowitz, A Michi, A Zhernov, M Gelmi, M Selvi… - Nature, 2023 - nature.com
Fundamental algorithms such as sorting or hashing are used trillions of times on any given
day. As demand for computation grows, it has become critical for these algorithms to be as …