The next step for machine learning and AI TechRepublicDavid Karandish, founder and CEO of Jane.ai, discusses the next step for machine learning and AI through chatbots and natural language processing.
Research projects show creative ways MIT students are connecting computing to other fields.
Machine Learning Can Use Tweets to Automatically Spot Critical Security Flaws WIREDResearchers built an AI engine that uses tweets to predict the severity of software vulnerabilities with 86 percent accuracy.
At DeepMind, the Research Platform Team builds infrastructure to empower and accelerate our AI research. Today, we are excited to share how we developed TF-Replicator, a software library that helps researchers deploy their TensorFlow models on GPUs and…
Google introduces TensorFlow Privacy, a machine learning library with ‘strong privacy guarantees’ VentureBeatGoogle today announced TensorFlow Privacy, a library for its TensorFlow machine learning framework intended to make it easier for de…
How Has Machine Learning And AI Influenced Game Design? ForbesHow has machine learning and AI influenced game design? originally appeared on Quora: the place to gain and share knowledge, empowering people to learn …
Fireside chat brings together six Turing Award winners to reflect on their field and the MIT Stephen A. Schwarzman College of Computing.
Machine learning used to identify high-performing solar materials Science DailyThanks to a study that combines the power of supercomputing with data science and experimental methods, researchers have developed a novel ‘design to …
Best machine learning platforms comparison and buyer’s guide TechTargetThe best machine learning platforms power everything from email spam filters to chatbots. Learn which systems are best for your enterprise and how to make an …
Anyone can submit tech-based solution applications until July 1.
