Teenagers and younger kids are learning coded predator phrases like ‘MAP’ online, long before their parents have even heard of it

MAP, NOMAP and 764 are among the coded terms that all speak to pedophilia. Here’s how families can stay ahead of the risk.
Science Daily

AI breakthrough cuts energy use by 100x while boosting accuracy

AI is consuming staggering amounts of energy—already over 10% of U.S. electricity—and the demand is only accelerating. Now, ...

AI Agents Are Multiplying Faster Than Humans Can Manage Them

Box CEO Aaron Levie explains why orchestrating multiple AI agents does not free humans from cognitive work - it just changes ...
IEEE Spectrum on MSN

This wearable runs an on-device AI with 2-week battery life

Mai is a wrist-worn device focused on women’s health and safety ...
Morning Overview on MSN

Brain-inspired chip claims 70% cut in AI energy use, Cambridge says

University of Cambridge researchers have developed a nanoelectronic device built from hafnium oxide that mimics how biological synapses process information, and the University of Cambridge says it ...
IEEE

Design of High Performance Parallel Multiplication using FPGA

Abstract: In the recent decade, decimal arithmetic has received a lot of attention. In existing research on decimal multiplication, latency and area are two key factors. In any case, today's ...
Journal of Medical Internet Research

Developing and Validating a Machine Learning Algorithm to Predict the Risk of Incident Opioid Use Disorder Among OneFlorida+ Patients: Prognostic Modeling Study

Using the GBM algorithm to predict the subsequent 3-month OUD risk, the top decile subgroup had a positive predictive value of 3.26%, a negative predictive value of 99.8%, and a number needed to ...
IEEE

EffiDenseGenOp: Ensemble Transfer Learning With Hyperparameter Tuning Using Genetic Algorithm Optimization for PCOS Detection From Ultrasound Sonography Images

Abstract: In this research, we present the revolutionary ‘EffiDenseGenOp’ framework for Polycystic Ovary Syndrome (PCOS) detection, leveraging the amalgamation of Ensembled Transfer Learning Models.