eLife

Human EEG and artificial neural networks reveal disentangled representations and processing timelines of object real-world size and depth in natural images

Neural and computational evidence reveals that real-world size is a temporally late, semantically grounded, and hierarchically stable dimension of object representation in both human brains and ...
IEEE

Spatial-Spectral Contrastive Graph Neural Network for Few-Shot Hyperspectral Image Classification

Abstract: Graph Neural Networks (GNNs) have emerged as a promising solution for few-shot hyperspectral image (HSI) classification. However, existing GNN-based approaches face critical limitations in ...
Scientific Research Publishing

Financial Prediction Models in Banks: Combining Statistical Approaches and Machine Learning Algorithms ()

Felimban, R. (2025) Financial Prediction Models in Banks: Combining Statistical Approaches and Machine Learning Algorithms.
IEEE

Neuro-Modulation Analysis Based on Muscle Synergy Graph Neural Network in Human Locomotion

Abstract: The coordination of muscles in human locomotion is commonly understood as the integration of motor modules known as muscle synergies. Recent research has delved into the adaptation of muscle ...
Hosted on MSN

This Is How Microsoft and Palantir Compare in the AI Era

Microsoft and Palantir are both leaders in AI and enterprise solutions, but they take very different paths. Microsoft offers diversification, stability, and established cloud infrastructure, while ...
MIT Technology Review

An AI model trained on prison phone calls now looks for planned crimes in those calls

The model is built to detect when crimes are being “contemplated.” A US telecom company trained an AI model on years of inmates’ phone and video calls and is now piloting that model to scan their ...
Futurism

If You Turn Down an AI’s Ability to Lie, It Starts Claiming It’s Conscious

Very few serious experts think today’s AI models are conscious, but many regular people feel differently about the bots, which are designed to foster emotional connection to keep engagement up. Users ...
Phys.org

Humans and artificial neural networks exhibit some similar patterns during learning

Past psychology and behavioral science studies have identified various ways in which people's acquisition of new knowledge can be disrupted. One of these, known as interference, occurs when humans are ...
Futurism

Large Language Models Will Never Be Intelligent, Expert Says

Are tech companies on the verge of creating thinking machines with their tremendous AI models, as top executives claim they are? Not according to one expert. We humans tend to associate language with ...
GitHub

chrisjvargo/network-regression-lecture

MIT License Copyright (c) 2025 Chris J. Vargo Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated ...
GitHub

A Vue-based web application for comparing and ranking Large Language Models (LLMs) used in the Windsurf IDE across various performance categories.

This application provides a platform for users to rank and compare different LLM models based on their performance in various categories. The system uses an ELO rating mechanism to create dynamic ...