RPTU University of Kaiserslautern-Landau researchers published “From RTL to Prompt Coding: Empowering the Next Generation of Chip Designers through LLMs.” Abstract “This paper presents an LLM-based ...

Artificial intelligence (AI) agents, particularly those based on large language models (LLMs) like the conversational ...

Artificial intelligence (AI) is transforming how scientists understand proteins—these are working molecules that drive nearly every process in the human body, from cell growth and immune defense to ...

Description: Experts argue LLMs won’t be the end-state: new architectures (multimodal, agentic, beyond transformers) will ...

An advanced Deep Learning pipeline for spatio-temporal wind speed forecasting using ConvLSTM, PredRNN, and a state-of-the-art Transformer model (PredFormer Fac-T-S). This project handles the entire ...

Abstract: Cognitive load assessment through electroencephalography (EEG) signals represents a crucial research frontier in brain–computer interface (BCI) development. To systematically investigate the ...

High-entropy alloys are promising advanced materials for demanding applications, but discovering useful compositions is difficult and expensive due to the vast number of possible element combinations.

Abstract: This paper introduces a Transformer-based framework for high-precision indoor localization in 6G-enabled Internet of Things (IoT) environments, enhanced by reconfigurable intelligent ...

Now available in technical preview on GitHub, the GitHub Copilot SDK lets developers embed the same engine that powers GitHub ...

Weights & Biases is a helpful tool to analyze experiments, while Optuna is an effective tool for hyperparameter tuning. To use either of these tools, make sure to check out the notebooks in the ...

Overview: Generative AI is rapidly becoming one of the most valuable skill domains across industries, reshaping how professionals build products, create content ...