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 ...

Abstract: Public safety in disaster operations relies heavily on accurate predictions which help minimize flood damages. The Long Short-Term Memory (LSTM) neural network demonstrates exceptional ...

Prediction market apps are growing in popularity, allowing people to bet on everything. Critics fear that turning every scenario into a wager could lead to people and institutions being manipulated.

More accurate and individualized health predictions will allow for preventative factors to be implemented well in advance.

Prediction markets are growing quickly in the United States. Here's what you need to know about them and how they affect the ...

Explore a probability-based forecast for the S&P 500 in 2026, highlighting risks, upside potential, and key tech sector influences.

Overview Python projects in 2026 emphasize hands-on learning through real-world use cases rather than purely academic examples.Beginner projects focus on logic ...

Saturday Night Live mocks Trump over Epstein files, Patriot Games in cold open Georgetown basketball coach suspended after ...

Bowen Yang leaving 'Saturday Night Live' after 6 years in shock exit Videos reveal the bold tactics copper thieves use to hit telecom networks ...

OpenAI’s GPT-5.2 introduces new safety rules for users under 18, as lawmakers, parents, and regulators push AI companies to ...

AI’s financing boom is like a “pig going through a python.” TD Asset Management’s Anthony Foss discusses opportunities and ...

Abstract: A Real-Time Web Traffic Forecasting System Using Hybrid LSTM and CNN Paper Development of the real-time web traffic forecasting system uses a hybrid approach combining LSTM with Conventional ...