The Financial Express

Harvard launches 6 free online courses in AI, web development and programming: Check details inside

Harvard University is offering free online courses for learners in artificial intelligence, data science, and programming.
IEEE

Performance Analysis of Deep Learning Classification Algorithms using Different Optimizers for Underwater Target Classification in Lake Environment

Abstract: Identification of naval mines is a very tedious task due to turbulent nature in ocean and the varying deployment of mines, which differ by location and type, such as buoyant mines, moored ...
Wired

I Tried RentAHuman, Where AI Agents Hired Me to Hype Their AI Startups

I’m not above doing some gig work to make ends meet. In my life, I’ve worked snack food pop-ups in a grocery store, ran the cash register for random merch booths, and even hawked my own plasma at $35 ...
FedScoop

DOJ ramps up AI for legal work, crime predictions, surveillance, inventory shows

From litigation to federal prisons to criminal investigations, artificial intelligence appears to have touched nearly every corner of the Department of Justice in the past year. Just two years ago, ...
The Lancet

Classification accuracy of a hierarchical molecular inference-based deep-learning system for CNS tumour diagnosis: a multi-institutional, retrospective study

aLaboratory of Pathology, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA bCancer Data Science Laboratory, Center for Cancer Research, National ...
Scientific Research Publishing

Efficiency of Classification Algorithms in Monitoring Land Use through Remote Sensing in Sissili Province of Burkina Faso ()

Monitoring of natural resources is a major challenge that remote sensing tools help to facilitate. The Sissili province in Burkina Faso is a territory that includes significant areas dedicated for the ...
GitHub

GitHub - dawidolko/Comparison-ANFIS-Classical-Machine-Learning-Models-Python: Comparison of the ANFIS algorithm with classical machine learning models in wine quality ...

📋 Description Welcome to the ANFIS Wine Quality Classification repository! This comprehensive project compares ANFIS (Adaptive Neuro-Fuzzy Inference System) with classical machine learning algorithms ...
Frontiers

Evolutionary algorithm-optimized feature fusion for accurate classification of shredded tobacco using multi-sensor data

Individual sensor systems have limitations in the complex task of classifying shredded tobacco. This study aims to overcome these limitations by developing a novel evolutionary algorithm-based feature ...
Wired

AI Models Are Starting to Learn by Asking Themselves Questions

An AI model that learns without human input—by posing interesting queries for itself—might point the way to superintelligence. Save this story Save this story Even the smartest artificial intelligence ...
IEEE

Strategies for Noise-Resilient Quantum Approximate Optimization Algorithms: A Review and Classification of Error Mitigation

Abstract: The Quantum Approximate Optimization Algorithm (QAOA) is a leading candidate for solving combinatorial optimization problems on near-term quantum hardware. However, its practical deployment ...
Hosted on MSN

Python neural network for multiclass classification using softmax

Implement Neural Network in Python from Scratch ! In this video, we will implement MultClass Classification with Softmax by making a Neural Network in Python from Scratch. We will not use any build in ...
Medical Xpress

Information Science: News and Research on Classification Algorithms

Cancer is one of the most devastating diseases in the world. In 2023, more than 1.9 million new cancer cases and 609,820 deaths are projected to occur in the United States alone. As efforts are ...