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

Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions ...

Agnik International, a leading data science company with market-leading analytic products, today announced that they are developing a new distributed machine learning architecture based on decades of ...

These findings are detailed in Integration of Artificial Intelligence in Food Processing Technologies, a detailed review that ...

As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models designed to process graph-structured data. Currently, GNNs are effective ...

Infinix has announced the launch of its first 13.2-inch ultra-slim productivity tablet, Infinix XPAD Edge. Featuring a ...

Summary: Edge AI is shifting AI inference away from expensive cloud data centers and onto local devices. As this transition ...

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

Innodisk has recently introduced the EXEC-Q911, a COM-HPC Mini starter kit designed for edge AI applications powered by a ...

Acceed has introduced a new industrial computing platform designed to support automation and edge AI applications.

Hybrid everywhere, AI guarding security, data treated like a product, automation doing the heavy lifting and compute moving ...

New developments that will leverage a focus on cloud-native technologies, including serverless and containers, will change the level of I/O requirements. Internet egress (i.e., the on-ramps and ...