Tag: MachineLearning

JP Morgan, one of the world's leading financial services and investment companies, has recently announced its plans to develop AI software for advising investments. Drawing inspiration from OpenAI's ChatGPT frenzy, the company has applied for a trademark for the product named IndexGPT. It would use cloud computing and AI to analyse and select securities best suited to customers' needs. Goldman Sachs and Morgan Stanley have already begun testing AI in their internal operations. Strategic analysts suggest it could significantly increase US profit margins long-term.

Discover the newest Google AI tool - Product Studio - giving merchants the power to quickly and effortlessly customize product images. With advanced machine learning, Product Studio simplifies the editing of product images, helping merchants create eye-catching visuals to draw potential customers. Hosted on Google Shopping's Merchant Center Next, Product Studio is rolling out to US-based merchants over the next few months.

This research paper published by MDPI investigates how to improve energy efficiency in service provider networks using machine learning to predict traffic. The authors, Zhang et al. tested Support Vector Machine regression (SVM), Bayesian Network (BN), and Neural Network (NN). Results demonstrated that the new model yields better results than existing traffic prediction systems. MDPI provides Open Access for peer-reviewed articles, committed to giving authors top visibility and quality reviews.

Be part of the AWS DeepRacer Competition 2023 with Asia Pacific University of Technology and Innovation. Reinforcement Learning and Machine Learning intertwined with a physical track and driven by AWS to push participants to their limits in an exhilarating event. An unmissable opportunity for future data scientists and engineers to hone their skills. Grand Finale in the spotlight - the finalists were pushed to the best of their abilities.

At IIT Madras, researchers have developed a machine learning technique to gain valuable insights into cancer-causing tumours. The web server called aGBMDriver detects driver and passenger mutations in glioblastoma with an accuracy of 81.99%, surpassing current computational techniques. The findings will assist in prioritizing driver mutations and identifying potential pharmacological targets for treating glioblastoma.