JEE Main 2026 Prep Guide: How AI Tools Can Improve Performance

From personalized learning to instant doubt resolution, AI tools are changing how students prepare for JEE Main 2026.
Distractify on MSN

The journalist is a machine: Lior Alexander and the end of the newsroom

Lior Alexander is the CEO of AlphaSignal. The platform has over a quarter of a million subscribers and generates 200 million ...

Deep learning reveals how auditory cortex neurons split up natural sound coding

Over the past decades, computer scientists have introduced numerous artificial intelligence (AI) systems designed to emulate the organization and functioning of networks of neurons in the brain.

‘The Future Of AI Will Be Shaped By Holistic Thinkers’: How Women Are Building Global Tech

Women now make up 32% of the tech workforce, up from 29% a year ago. Hiring for emerging technologies has also seen a rise, with women’s participation touching 31% in 2026 ...
Scientific Research Publishing

A Lightweight MobileViT with a Dual-Path Attention Mechanism for MRI Image Classification ()

Deep learning has been successfully applied in the field of medical diagnosis, and improving the accurate classification of ...
IEEE

A Joint Optimization Guided Deep Learning Model based on CNN and Channel-Wise Transformers for Robust Sleep Stage Classification from EEG Signal

Abstract: Sleep stage classification is a critical task in sleep research, with significant implications for diagnosing and treating sleep disorders. Traditional methods rely on manual scoring of ...
Scientific Research Publishing

A Multimodal Machine-Learning Framework for Predicting Lithium-Associated Renal Dysfunction from Synthetic Biomarker Trajectories ()

Long-term lithium therapy remains the most effective maintenance treatment for bipolar disorder, yet it poses a significant ...
IEEE

TTAO-CNN-SEAttention: A Deep Learning Framework for Short-Term Traffic Flow Prediction

Abstract: Short-term traffic flow prediction on urban roads plays an important role in reducing traffic intensity and optimizing traffic management. This paper constructs a deep learning-based ...
IEEE

Investment Efficiency Prediction and Dynamic Optimization Based on Deep Learning Algorithm

Abstract: Traditional investment efficiency evaluation methods have problems such as low accuracy, slow response speed, and static analysis in terms of multi-dimensional feature processing, dynamic ...
IEEE

Enhanced Hybrid Deep Learning Model for Cybersecurity Threat Detection Using CNN-Bi-LSTM and Feature Optimization

Abstract: During the age of high-speed digital advancement, cyber threats increase not merely in numbers but also in complexity, threatening contemporary networks significantly. This article presents ...