Orbiit Recovery Ecosystem Advances the Use of AI and Machine Learning in Addiction Recovery

Behavior-Derived Intelligence Transforms How Recovery Is Supported, Measured, and Sustained Human behavior leaves a ...
IEEE

Resource-Efficient Hybrid Machine Learning Model for IoT SMS Spam Detection

Abstract: The increasing prevalence and complexity of spam have made detection a critical challenge, particularly in resource-constrained Internet of Things (IoT) environments affecting millions of ...
pv magazine International

US researchers use machine learning to detect hidden solar array defects

Researchers from Stony Brook University, in collaboration with Ecosuite and Ecogy Energy, have developed a self-supervised machine-learning algorithm designed to identify physical anomalies in solar ...
The Conversation

Can scientists detect life without knowing what it looks like? Research using machine learning offers a new way

Amirali Aghazadeh receives funding from Georgia Tech. When NASA scientists opened the sample return canister from the OSIRIS-REx asteroid sample mission in late 2023, they found something astonishing.
Hosted on MSN

AI as a safeguard: Using machine learning to detect problem gambling and fraud

Betting companies train machine learning programs to monitor players’ behaviour. AI technologies seem to have been integrated into every corner of our lives. Most businesses have jumped on the ...
IEEE

Depression Analysis and Detection Using Machine Learning: Incorporating Gender Differences in a Comparative Study

Abstract: Depression is a significant mental health problem and presents a challenge for the machine learning field in the detection of this illness. This study explores automated depression ...
Managed Healthcare Executive

Positive Results for Using AI to Detect Type 1 Diabetes Early

Results presented at the 85th Scientific Sessions of the American Diabetes Association in Chicago highlight the potential for AI to detect disease before signs and symptoms occur. Two studies ...