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Specific learning strategies can enhance AI model effectiveness in hospitals
If data used to train artificial intelligence models for medical applications, such as hospitals across the Greater Toronto ...
Snowflake’s Openflow tackles AI’s toughest engineering challenge: Data ingestion at scale
At its annual summit, Snowflake announced Openflow, a data ingestion service that can integrate any data type from virtually ...
Tech Xplore3d
AI learns to admit when it doesn't know: New tool boosts model transparency
Artificial intelligence systems like ChatGPT provide plausible-sounding answers to any question you might ask. But they don't ...
GitHub9d
Machine learning: Neural network profiler
This code example demonstrates how to run through the ModusToolbox™ machine learning (ModusToolbox™-ML) development flow with PSoC ... version of this model, and validate the performance on the PC.
IEEE9d
Enhancing Neural Architecture Search With Multiple Hardware Constraints for Deep Learning Model Deployment on Tiny IoT Devices
Abstract: The rapid proliferation of computing domains relying on Internet of Things (IoT) devices has created a pressing need for efficient and accurate deep-learning (DL ... in a single shot, of a ...
AST SpaceMobile: Turning The Sky Into Your Next Cell Tower
AST SpaceMobile aims to bring 4G/5G to mobile dead zones via satellites, unlocking new markets. Read what justifies ASTS ...
Alibaba's AI Ambitions Are Promising, But There Are Better AI Stocks
Despite promising AI offerings, Alibaba’s 18% Cloud growth lags behind other AI leaders, with political risks in China overshadowing its cheap valuation. Read more on the BABA stock here.
C&EN19d
Machine Learning-Assisted Multicolor Fluorescence Assay for Visual Data Acquisition and Intelligent Inspection of Multiple Food Hazards Regardless of Matrix Interference
Tianjin Key Laboratory of Food Science and Health, School of Medicine, Nankai University, Tianjin 300071, China ...