Can AI improve plant-based meats? Using mechanical testing and machine learning to mimic the sensory experience
Cutting back on animal protein in our diets can save on resources and greenhouse gas emissions. But convincing meat-loving ...
CMS develops new AI algorithm to detect anomalies at the Large Hadron Collider
In the quest to uncover the fundamental particles and forces of nature, one of the critical challenges facing high-energy ...
TMCnet4d
Artificial Intelligence in Drug Discovery Market to Hit USD 6.89 Billion by 2029 with 29.9% CAGR | MarketsandMarkets™
The global artificial intelligence (AI) in drug discovery market is projected to reach USD 6.89 billion by 2029 from USD 1.86 ...
Frontiers5d
Machine Learning Integration in Computational Neuroscience: Enhancing Neural Data Decoding and Prediction
Computational Neuroscience is a rapidly evolving field that seeks to understand the brain's complex functions through ...
Daily6d
Machine Learning may Identify High-Risk Diabetic Cardiomyopathy Phenotype: Study
Researchers have found that using a machine learning-based method, it is possible to identify individuals with diabetes who ...
Jain University8d
What are Data Science, Machine Learning, AI, Deep Learning, and Big Data?
By employing statistical methods, algorithms can be trained ... in this process help to generate insights and predictions.
Analytics Insight8d
Top Machine Learning Certifications to Boost Career
Machine learning, or ML, as abbreviated, has gone from being a very specialized topic in recent years to arguably one of the ...
manilatimes12d
Murugan Govindasamy Joins Boon Logic as Strategic Advisor
"We are thrilled to have Murugan on board to validate AVIS's value to the global market,” said Grant Goris, CEO of Boon Logic ...
Identity, Intent And Instrument: A Modern Framework For Payments Risk
The balance between securing transactions and enabling growth is key to long-term success in the evolving world of payments risk management.
Scientific Research Publishing13d
The Role of Machine Learning and Deep Learning Approaches to Improve Optical Communication Systems ()
Binjumah, W. (2024) The Role of Machine Learning and Deep Learning Approaches to Improve Optical Communication Systems.
Frontiers13d
Prediction of the impact of tobacco waste hydrothermal products on compost microbial growth using hyperspectral imaging combined with machine learning
However, analyzing HSI data is challenging due to its complexity and high dimensionality, which complicates the extraction of ...
unite17d
10 Best Machine Learning Certifications (November 2024)
You'll eventually understand how tree-based methods and ensemble learning methods ... It covers fundamental concepts of Machine Learning and Deep Learning, such as Supervised and Unsupervised Learning ...