Can we trust algorithms with our money?

This article is authored by AV Arunkumar, director, IFIM Institution.

Here's how AI could help astronomers unlock new secrets about meteors

Astronomers in Arizona turned to artificial intelligence to test out a new method of classifying meteors based on their physical properties and origin.

Quantum Risk Is A Decision Layer Problem, Not A Cryptography Problem

Quantum exposure cuts across data, supplier contracts, capital allocation, customer commitments, regulatory adequacy and ...

Spectral AI Joins the American Board of Wound Management Foundation in Celebrating Wound Healing Awareness Month

In this milestone year, during the month of June the ABWM Foundation will continue its mission of raising awareness, empowering certified wound care specialists, and transforming lives. “Wound Healing ...

Spectral AI to Participate in 2026 British Burn Association Annual Conference

The BBA Annual Meeting is a multidisciplinary conference that brings together burn care professionals from across the UK and beyond to share clinical experience, research, and advances in burn ...
The American Journal of Managed Care

AI Model Challenges Genomic Classifiers in Early Breast Cancer Risk Stratification: Nancy Lin, MD

Lin: Genomic classifiers are widely used to assess the risk of distant metastasis (DM) and inform chemotherapy (CT) decisions ...

Brighter Signals Introduces SBR Sensor: Better Accuracy, Same 2-Pin Footprint

New fabric-based sensor is a rolling-change for existing SBR systems — using richer data to close a safety gap for ...
IEEE

An Alternating Algorithm for Neural Collapse in Deep Classifier Neural Network with Arbitrary Number of Classes

Abstract: Neural collapse describes the optimal learned representation features and their corresponding optimal classifier that globally minimizes the training loss in deep classifier neural networks.
Scientific Research Publishing

Sen, P.C., Hajra, M. and Ghosh, M. (2019) Supervised Classification Algorithms in Machine Learning: A Survey and Review. In: Mandal, J.K. and Bhattacharya, D., Eds., Emerging ...

ABSTRACT: Accurate prediction of malaria incidence is indispensable in helping policy makers and decision makers intervene before the onset of an outbreak and potentially save lives. Various ...
TMCnet

MicroAlgo Inc. Develops Classifier Auto-Optimization Technology Based on Variational Quantum Algorithms, Accelerating the Advancement of Quantum Machine Learning

SHENZHEN, China, May 2, 2025 /PRNewswire/ -- MicroAlgo Inc. (the "Company" or "MicroAlgo") (NASDAQ: MLGO) announced today the launch of their latest classifier auto-optimization technology based on ...