Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions ...
The absence of reliable data on fundamental economic indicators (e.g. real GDP), combined with structural shifts in the economy, can severely constrain the ability to conduct accurate macroeconomic ...
In a study titled Recent Applications of Machine Learning Algorithms for Pesticide Analysis in Food Samples, published in the ...
A deep learning framework combines convolutional and bidirectional recurrent networks to improve protein function prediction from genomic sequences. By automating feature extraction and capturing long ...
Recentive Analytics, Inc. v. Fox Corp., No. 23-2437 (Fed. Cir. 2025) – On April 18, 2025, the Federal Circuit upheld the district court’s dismissal of the case on the ground that the patents were ...
Explore how AI-powered forensic data audits can enhance data literacy and improve air quality measurements for socio-economic ...
Opinion
1dOpinion
Ex-Employees Of The Rich Are Sharing The Most Effed-Up Things They Saw And Heard, And It's A Solid Argument That We Should Tax The Rich WAY More
"My old millionaire boss picked a penny up off the workshop floor, handed it to me, and said, 'There's your wages,' then walked away laughing to himself like the mustache-twirling villain he was." ...
The future of customer targeting isn't about knowing more—it's about acting faster and smarter on what you already know.
The healthcare industry is at a crossroads. Advanced analytical technology and operational efficacy converge with strategic ...
"My old millionaire boss picked a penny up off the workshop floor, handed it to me, and said, 'There's your wages,' then ...
The UNESCO-listed island of Socotra faces an onslaught of sustainability challenges, from climate change to an ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results