Electronic Design

Platform for the development of control algorithms

With its prototype control device PROtroniC, AFT Atlas Fahrzeugetechnik GmbH offers an open platform for the model-based development of control algorithms in the vehicle or on the test bed. WITH ITS ...
Nature

Data Mining and Mathematical Modeling in Algorithm Development

Recent advances in data mining and mathematical modelling have increasingly influenced the development of sophisticated algorithms across diverse application domains. By extracting hidden structures ...
Electronic Design

Smart High Level Synthesis (HLS) Tool Suite Enables C++ Based Algorithm Development

The need to combine performance with low power consumption in edge-compute applications has driven demand for FPGAs to be used as power-efficient accelerators while also providing flexibility and ...
ascopubs.org

Development of Machine Learning Algorithms Incorporating Electronic Health Record Data, Patient-Reported Outcomes, or Both to Predict Mortality for Outpatients With Cancer

shinyOPTIK, a User-Friendly R Shiny Application for Visualizing Cancer Risk Factors and Mortality Across the University of Kansas Cancer Center Catchment Area We trained and validated two-phase ML ...
Nasdaq

MicroAlgo reports development of hybrid classical-quantum algorithms

MicroAlgo (MLGO) announced the development of an innovative hybrid algorithm that combines classical and quantum computing to optimize Multi-Query Optimization problems. “MicroAlgo’s hybrid algorithm ...
VentureBeat

DeepMind releases Acme, a distributed framework for reinforcement learning algorithm development

VentureBeat presents: AI Unleashed - An exclusive executive event for enterprise data leaders. Network and learn with industry peers. Learn More DeepMind this week released Acme, a framework intended ...
ascopubs.org

Development of Machine Learning Algorithms for the Prediction of Financial Toxicity in Localized Breast Cancer Following Surgical Treatment

Financial burden caused by cancer treatment is associated with material loss, distress, and poorer outcomes. Financial resources exist to support patients but identification of need is difficult. We ...