However, most high-performing models are massive, compute-heavy, and require cloud-based inference, making them impractical for edge computing. The recent release of DeepSeek-R1 is an early, but ...

Uzma,, Manzoor, U. and Halim, Z. (2023) Protein Encoder An Autoencoder-Based Ensemble Feature Selection Scheme to Predict Protein Secondary Structure. Expert Systems with Applications, 213, Article ...

Predict dynamic behaviors in a physics system in a way that's computationally efficient and adaptable to a range of scenarios.

Cutting-edge Chinese “reasoning” model rivals OpenAI o1—and it’s free to download DeepSeek R1 is free to run locally and modify, and it matches OpenAI's o1 in several benchmarks.

The research represents a shift in how we may predict the weather. Google DeepMind has unveiled an AI model that’s better at predicting the weather than the current best systems. The new model ...

Researchers at the University of Texas at Austin produced data-driven and hybrid data-physics based DIP models to analyze stuck pipe incidents at the Frontier Observatory for ...

In this age of AI, more enterprises adopting hybrid infrastructures, as they can exploit the different advantages of cloud, edge and on-prem.

Take your temporal graph analysis to the next level with TempoKGAT: a powerful graph attention network featuring time-decaying weights and selective neighbor aggregation.

Dr. James McCaffrey from Microsoft Research presents a complete program that uses the Python language LightGBM system to create a custom autoencoder for data anomaly detection. You can easily adapt ...