How the Right Data Labeling Partner Can Prevent Business Losses
As the volumes of data used in businesses grows, getting data suitably annotated and tagged to train machine learning models is an enormous challenge.
Looks at issues related to artificial intelligence technologies, including cognitive computing, deep learning, and machine learning. Considers also supervised and unsupervised learning and natural language processing.
As the volumes of data used in businesses grows, getting data suitably annotated and tagged to train machine learning models is an enormous challenge.
This foundational research will help keep the United States in the forefront as applications for ML and AI rapidly
Manufacturing's use of machine learning can help implement better strategies for improved outcomes and optimized
The framework provides guidelines on how to develop AI systems that avoid bad first impressions, gain a user’s trust, and improve the user experience.
In previous trials, tomato farmers found average yields increased 1.3 times using 20 percent less fertilizer.
The tool gives emergency responsers and city planners the information needed to more quickly identify vulnerable areas and dispatch necessary resources.
In the news this week: many AI solutions providers make their offerings and access to critical datasets available for free to help fight
The coronavirus pandemic may be the first critical event since the 2008 financial crisis for data scientists to use, to better protect AI-programs from the …
The benefits of using AI in healthcare are two-fold as both the patients and healthcare providers can leverage the
IBM established the AI Hardware Center, a research and development lab aimed at increasing AI performance by 1000x in the next ten years.