Technical and strategic roles alongside those requiring human judgement and connection are on the rise Read more at The ...

Thinking about AI and how it’s changing everything? It’s a big topic, and a lot of that change comes down to the hardware ...

Alphabet’s TorchTPU push targets Nvidia with competitive AI hardware/software and key data center assets via Intersect. Click ...

Discover the top AI skills in high demand for 2026. Learn about machine learning, generative AI, and other essential ...

This important study introduces a new biology-informed strategy for deep learning models aiming to predict mutational effects in antibody sequences. It provides solid evidence that separating ...

Bengaluru-based Polymage Labs and US firm Tenstorrent are set to develop an AI compiler for Tenstorrent's hardware. This ...

Jaewon Hur (Seoul National University), Juheon Yi (Nokia Bell Labs, Cambridge, UK), Cheolwoo Myung (Seoul National University), Sangyun Kim (Seoul National University), Youngki Lee (Seoul National ...

Overview: Interpretability tools make machine learning models more transparent by displaying how each feature influences ...

Abstract: The paper explores the application of deep learning techniques to sentiment analysis on social media platforms. It contrasts these advanced methods with conventional machine learning ...

Explore how neuromorphic chips and brain-inspired computing bring low-power, efficient intelligence to edge AI, robotics, and ...

A research team has developed a new model, PlantIF, that addresses one of the most pressing challenges in agriculture: the ...

Overview:  Reinforcement learning in 2025 is more practical than ever, with Python libraries evolving to support real-world simulations, robotics, and deci ...