Overview Serverless analytics removes the complexity of infrastructure in big data workloads.Scalable Spark and Hive jobs without cluster management with Amazon ...
Edge AI addresses high-performance, low-latency requirements by embedding intelligence directly into industrial devices.
Beijing, Feb. 06, 2026 (GLOBE NEWSWIRE) -- WiMi Releases Hybrid Quantum-Classical Neural Network (H-QNN) Technology for Efficient MNIST Binary Image Classification ...
The growth and impact of artificial intelligence are limited by the power and energy that it takes to train machine learning models. So how are researchers working to improve computing efficiency to ...
Artificial intelligence is reshaping cybersecurity, but much of that progress has focused on cloud and enterprise ...
Over the past year, I've been working on a challenge that faces every organization implementing Zero Trust: how do you manage ...
As AI workloads move from centralized cloud infrastructure to distributed edge devices, design priorities have fundamentally ...
Background Early graft failure within 90 postoperative days is the leading cause of mortality after heart transplantation. Existing risk scores, based on linear regression, often struggle to capture ...
A new medical large language model (LLM) achieved over 91 percent accuracy in identifying female participants diagnosed with major depressive disorder after analyzing a short WhatsApp audio recording ...
This is an important work implementing data mining methods on IMC data to discover spatial protein patterns related to the triple-negative breast cancer patients' chemotherapy response. The evidence ...
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