Machine learning workflow enables faster, more reliable organic crystal structure prediction

Prediction of crystal structures of organic molecules is a critical task in many industries, especially in pharmaceuticals ...
Frontiers

Brain-Inspired and neurally grounded algorithms in learning and control of advanced robots

In recent years, the field of robotics has undergone significant transformation, driven increasingly by advances in brain-inspired and neurally grounded ...
Scientific Research Publishing

Research on Prediction of Air Quality CO Concentration Based on Python Machine Learning ()

Wang, Z. (2025) Research on Prediction of Air Quality CO Concentration Based on Python Machine Learning. Advances in Internet ...
Neuroscience News

Coding Comes Naturally to the Human Brain

Learning to code doesn’t require new brain systems—it builds on the ones we already use for logic and reasoning.
Leadership

Nigerian Researcher Develops Deep Learning Model To Transform Brain Cancer Diagnosis

In a groundbreaking development at the intersection of artificial intelligence (AI) and medicine, Tobi Titus Oyekanmi, a ...
TheServerSide

Google Professional Machine Learning Engineer Certification Practice Exams

First, pick your designation of choice. In this case, it’s Google’s Professional Machine Learning Engineer certification. Then look up the exam objectives and make sure they match your career goals ...
Analytics India Magazine

10 Best AI Courses in 2025: Programs That Bridge Theory and Real-World Application

This course takes a classic, academic approach, offering a deep dive into AI algorithms, logic, probabilistic models, and ...
IEEE

Probabilistic Neural Networks (PNNs) for Modeling Aleatoric Uncertainty in Scientific Machine Learning

Abstract: This paper investigates the use of probabilistic neural networks (PNNs) to model aleatoric uncertainty, which refers to the inherent variability in the input-output relationships of a system ...
HUB

Neural basis of schizophrenia and bipolar disorder found in brain organoids

Pea-sized brains grown in a lab have for the first time revealed the unique way neurons might misfire due to schizophrenia and bipolar disorder, psychiatric ailments that affect millions of people ...
IEEE

Concept Neural Network Based on Time-Delay Regret for Dynamic Stream Learning

Abstract: Dynamic stream learning, which emphasizes high-velocity, single-pass, real-time responses to arriving data, is revealing new challenges to the standard machine learning paradigm. In ...
C&EN

Practical Machine Learning Strategies 4: Using Neural Networks to Replicate Proton and

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Scientific Research Publishing

An In-Depth Analysis of Graph Neural Networks and Machine Learning Approaches for Drug Repositioning ()

1 Department of Computer Science and Engineering, Kishoreganj University, Kishoreganj, Bangladesh. 2 Department of Electrical and Computer Engineering, North South University, Dhaka, Bangladesh. 3 ...