A STUDY assessing coronary proximity in patients undergoing transcatheter pulmonary valve replacement (TPVR) with ...

Latent-EnSF outperformed three comparable models in assimilation speed, accuracy, and efficiency in shallow water wave ...

China's DeepSeek AI model, developed by Liang Wenfeng, is challenging US dominance in artificial intelligence. With a ...

Google says it's found a sweet spot between power and efficiency by employing the 'distillation' of neural nets.

Artificial-intelligence company Google DeepMind has put a version of its most advanced large language model (LLM), Gemini, into robots. Using the model, machines can perform some tasks — such as ‘slam ...

Read more about New deep learning model achieves high accuracy in detecting weeds in rice fields on Devdiscourse ...

The network consists of a lightweight deep learning feature extraction (LDE ... aimed at extracting deep features from the time-Doppler (TD) maps. Parameter estimation module is employed to capture ...

Deep learning AI models are able to identify important characteristics ... words and phrases and create a representation of ...

Biological tissues are made up of different cell types arranged in specific patterns, which are essential to their proper functioning. Understanding these spatial arrangements is important when ...

However, with IIM Ahmedabad’s Blended Post Graduate Programme in Management (MBA-BPGP), career-focused professionals and entrepreneurs can seamlessly advance their learning goals without ...

Spatial transcriptomics techniques, which map gene activity in intact tissues, often face challenges in accurately identifying distinct tissue regions. Now, researchers from Japan have developed STAIG ...

After OpenAI, Perplexity AI is joining the "deep research" bandwagon. And it's doing it in a fairly interesting way. Following in the footsteps of DeepSeek's "reasoning" model, Perplexity is the ...