Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions ...

The UK government's proposed reforms to policing in England and Wales signal an increase in the use of facial recognition ...

From sourdough to the far-right: How the tradwife trend is quietly radicalising women - IN FOCUS : Tradwife content on social ...

Dinosaur footprints have always been mysterious, but a new AI app is cracking their secrets. DinoTracker analyzes photos of fossil tracks and predicts which dinosaur made them, with accuracy rivaling ...

An expert Q&A on the potential for litigation involving AI technologies before the US International Trade Commission (ITC or Commission) under Section 337 of the Tariff Act (19 U.S.C. § 1337), ...

Ultimately, the goal is to empower the automotive industry with smarter, more efficient technology. By focusing on full-stack innovation, supply chain agility, and specific niche excellence, ...

The free LinkedIn Post Analyzer reveals how the LinkedIn algorithm evaluates posts, giving creators clear, actionable ...

The concept of "sniping" in the casino environment differs significantly from sports betting it relies on capturing statistical variance in real-time game ...

Discover 15 modern Excel functions for 2026, including Group By and Scan, so you speed up your workflows, summaries and ...

The original version of this story appeared in Quanta Magazine. Imagine a town with two widget merchants. Customers prefer cheaper widgets, so the merchants must compete to set the lowest price.

This blog post and audio file is another in the series "Defending the Algorithm™" written, edited and narrated by Pittsburgh, Pennsylvania Business, IP and AI Trial Lawyer Henry M. Sneath, Esq. and ...

Imagine a town with two widget merchants. Customers prefer cheaper widgets, so the merchants must compete to set the lowest price. Unhappy with their meager profits, they meet one night in a ...