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 ...
Intel is looking for a Data Scientist who specializes in Demand and Supply Planning to develop advanced analytics and machine learning systems that will optimiz ...
A relatively simple statistical analysis method can more accurately predict the risk of landslides caused by heavy rain, ...
Dengue and chikungunya, the two mosquito-borne diseases that frequently circulate at the same time, share the same Aedes ...
The idea that quantum computing could transform medical artificial intelligence (AI) has gained momentum in recent years, driven by advances in cloud-accessible quantum platforms and hybrid computing ...
"Industry momentum further strengthened in December 2025 as the IIP rose by 7.8 per cent, reaching its highest level in over ...
As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models ...
AI isn't a single capability, and "using AI" isn't a strategy. The strategy is to know what we're building, why it matters ...
The threat to software-as-we-know-it comes from digital data: the foundational, eight-decades-long trend driving the evolution of computer technology and its varied uses.
India’s industrial production grew at an over two-year high pace of 7.8 per cent in December 2025 on the back of robust ...
As sensor data overwhelms the cloud, Innatera’s neuromorphic chips bring always-on, ultra-low-power AI directly to the edge. But how?
WiMi Releases Hybrid Quantum-Classical Neural Network (H-QNN) Technology for Efficient MNIST Binary Image Classification ...
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