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6d
AZoBuild on MSNResearchers Develop Machine Learning Model to Predict High-Strength Concrete Performance
A new study presents a machine learning model that accurately predicts the compressive strength of high-strength concrete, ...
This research aims to reactivate object-oriented databases using intelligent tools to improve performance and accuracy in ...
Advancements in biomedical technologies have significantly facilitated the diagnosis and monitoring of diseases. Nonetheless, traditional diagnostic ...
AI-trained data analysis models may offer a more rapid and accurate detection of a range of neurologic conditions, including ...
Study identifies the characteristics that predict risk for methotrexate-related neurotoxicity in young patients being treated for ALL.
According to recent industry reports, businesses that leverage advanced data analytics experience a 5-6% increase in productivity and a 10% reduction in operational costs on average. Dip Bharatbhai ...
5d
The Business & Financial Times on MSNAI and machine learning in AML: Hype vs. reality in combating financial crime
By Bismark SAKYIThe promise of artificial intelligence (AI) and machine learning (ML) to revolutionise anti-money laundering (AML) programmes has dominated headlines in recent years.From reducing ...
ITB Santuy Team Wins 1st Place at the Renewable Energy Innovation Competition, ReEnergize Summit 2025 on Saturday, June 21, ...
2h
India Today on MSNAI is creating new job roles in India transforming traditional work practices
Artificial intelligence is generating new and unique job roles across India's sectors. This shift is reshaping traditional employment and opening diverse career pathways nationwide.
Yan, H.J. and Jin, C. (2025) The Evolution of Library and Information Science in China under the Big Data Paradigm —An Empirical Study Based on Chinese Core Literature. Open Journal of Social Sciences ...
Ramprakash Ramamoorthy's journey from Zoho intern to Director of AI Research, leading the integration of machine learning in ...
X-hacking’ is the term used by DFKI researchers to describe a risk in the field of explainable artificial intelligence (XAI) that has received little attention to date. At this year's International ...
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