News
By learning the relevant features of clinical images along with the relationships between them, the neural network can outperform more traditional methods.
Graph technology is allowing pharma to model data in a way that offers invaluable insights for marketing, R&D and compliance teams alike.
A new technical paper titled “System-performance and cost modeling of Large Language Model training and inference” was ...
3d
Tech Xplore on MSNAI cloud infrastructure gets faster and greener: NPU core improves inference performance by over 60%The latest generative AI models such as OpenAI's ChatGPT-4 and Google's Gemini 2.5 require not only high memory bandwidth but also large memory capacity. This is why generative AI cloud operating ...
This chart ignores the fact that the hyperscalers and clouds have very powerful and capacious clusters that would smoke any HPC center in the world when it comes to performance. They each can leverage ...
Arista Networks has underperformed tech peers despite strong recent gains. See why ANET's weak market breadth, high valuation ...
The use of cadonilimab in first-line treatment for advanced, recurrent, or metastatic cervical cancer was approved by the NMPA in May 2025.
This useful study presents a biologically realistic, large-scale cortical model of the rat's non-barrel somatosensory cortex, investigating synaptic plasticity of excitatory connections under varying ...
The country hangs on a hugely significant precipice, as President Donald Trump moves toward making good on his long-running suggestions of an extraordinary step: deploying the military on US soil.
AstraZeneca’s top-selling drug Tagrisso is already widely used on its own as a first-line treatment for EGFR-mutated lung cancer, but new data suggests there can be benefits from combining it ...
Various methods have been developed to improve the performance of sentence-level sentiment analysis (SLSA), the newest as graph convolutional networks (GCNs), with promising accuracy. However, it ...
To avoid the overfitting phenomenon that appeared in performing graph neural networks (GNNs) on test examples, the feature encoding scheme of GNNs usually introduces the dropout procedure. However, ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results