OpenAI's Open Responses standardizes agentic AI workflows, tackling API fragmentation and enabling seamless transitions ...

Edge AI addresses high-performance, low-latency requirements by embedding intelligence directly into industrial devices.

Abhijeet Sudhakar develops efficient Mamba model training for machine learning, improving sequence modelling and ...

End-to-end Machine Learning project predicting Bulldozer Auction Prices using Random Forest Regressor on 400K+ real-world Kaggle dataset with feature engineering, hyperparameter tuning, and model ...

This startup has developed an AI copilot for mechanical engineers. At the heart of the innovation is a Large Mechanical Model (LMM), a patented AI system that understands real CAD data. Leo AI is a ...

I spent quite a bit of time checking, updating and improving all of the workflows for this first release. improved documentation with concepts and theory from my courses to motivate the workflows ...

BioCompNet: a dual-channel deep learning framework for automated body composition analysis from fat-water MRI sequences. (A) Schematic of the dual-channel 2-dimensional (2D) U-Net architecture used to ...

From exploring practical applications and navigating market volatility to the future evolution of the platform, Kongsberg Digital CEO Shane McArdle discusses SiteCom, their solution for drilling and ...

In some ways, Java was the key language for machine learning and AI before Python stole its crown. Important pieces of the data science ecosystem, like Apache Spark, started out in the Java universe.

AI Steam updates AI disclosure form to specify that it's focused on AI-generated content that is 'consumed by players,' not efficiency tools used behind the scenes AI Stellar Blade's director says AI ...