‘Learn to code’ is dead. So what the heck should you actually teach your kids in the age of AI?

Holly Baxter asks tech experts what students should actually study, now ‘learn to code’ is dead — and gets some surprising ...

AI model uses social media posts to predict unemployment rates ahead of official data

Social media posts about unemployment can predict official jobless claims up to two weeks before government data is released, ...
SBCNews

SBC on the Airwaves: UK takes centre stage

We take a look back at some of the biggest SBC stories and interviews covered on our podcast over the last 12 months.

How We’ll Eat in 2026: More Caution, More Crunch

Food forecasters see a year of quieter tastes: little bursts of pleasure, less-jangling restaurants and healthy foods worthy ...

NITK uses machine learning to predict landslides in Western Ghats

NITK develops SVALSA, a machine learning-based landslide warning system for the Western Ghats, enhancing disaster ...
IEEE

Dynamic Data Updates and Weight Optimization for Predicting Vulnerability Exploitability

Abstract: With the purpose of managing efficiency in a large number of published vulnerabilities, the time-intensive process requires significant effort and efficient vulnerability prioritization ...
Scientific Research Publishing

Early Alzheimer’s Disease Detection from Short Speech Samples Using Lightweight, Interpretable Linguistic Markers ()

Based Detection, Linguistic Biomarkers, Machine Learning, Explainable AI, Cognitive Decline Monitoring Share and Cite: de Filippis, R. and Al Foysal, A. (2025) Early Alzheimer’s Disease Detection from ...
IEEE

Predicting Patient No-shows in Medical Appointments Using Demographic and Health Data

Abstract: Non-attendance at scheduled medical appointments, or "no-shows," significantly disrupts healthcare delivery and resource allocation. This study utilizes demographic and healthrelated data to ...