UC San Diego Today1d
UC San Diego Team Develops New Dose Prediction Model for Breast Cancer Radiotherapy
Researchers at UC San Diego have developed advanced deep learning techniques that could revolutionize treatment planning for ...
Baidu delivers new LLMs ERNIE 4.5 and ERNIE X1 undercutting DeepSeek, OpenAI on cost — but they’re not open source (yet)
Baidu has also announced plans to integrate ERNIE 4.5 and ERNIE X1 into its broader ecosystem, including Baidu Search and the ...
Machine learning framework accelerates theoretical design of nonlinear optical materials
A research team from the Xinjiang Technical Institute of Physics and Chemistry of the Chinese Academy of Sciences has made ...
Deep learning technique enhances lightning risk prediction for power grids
Lightning is one of the primary causes of transmission line trips, posing a significant threat to the safety of power grids.
eLife7d
Exploring the repository of de novo-designed bifunctional antimicrobial peptides through deep learning
Peptides designed by artificial intelligence restrict both drug-resistant bacteria and rapidly evolving viruses.
TechBullion9d
How Sai Kiran Malikireddy Is Reshaping Enterprise Systems
Few professionals have navigated the complex journey from legacy systems to modern architectures as successfully as Sai Kiran Malikireddy, who represents a new generation of technical leaders who ...
Advanced AI model can accelerate therapeutic gene target discovery
Traditional methods for identifying therapeutic gene targets, crucial for personalized medicine, are expensive and ...
EurekAlert!14d
Pusan National University researchers developed an advanced AI model for accelerating therapeutic gene target discovery
Identifying therapeutic gene targets is essential for advancing personalized medicine and addressing the genetic basis of ...
TigerGraph Unveils Next Generation Hybrid Search to its Graph Database to Power AI at Scale; Also Introduces a Game-Changing Community Edition
On the heels of the release of TigerGraph Savanna, the most innovative cloud native graph database platform for supercharging AI systems, TigerGraph continues to lead the market as the ...
IEEE15d
Deep Graph Convolutional Autoencoder with Conditional Normalizing Flow for Power Distribution Systems Fault Classification and Location
A new deep space-time generative graph convolutional autoencoder is introduced to address these shortcomings. The proposed framework captures both spatial and temporal characteristics of the PDS using ...
GitHub15d
Chemically-Informed Large-scale Inorganic Nanomaterials Dataset for Advancing Graph Machine Learning
Advances in graph machine learning (ML) have been driven by applications in chemistry as graphs have remained the most expressive representations of molecules. This has led to progress within both ...
Search Engine Land21d
When and how to use knowledge graphs and entities for SEO
Search Engine Land » SEO » When and how to use knowledge graphs and entities for SEO Chat ... In such a scenario, even without deep subject-matter expertise, you’d find that article much ...