- December 12, 2019
Top AI trends for 2020 are increased automation to extend traditional RPA, deeper explainable AI with more natural language capacity, and better chips for AI on the edge.
- October 03, 2019
The U.S. government is ramping up AI research and development efforts to try to stay ahead of China in both public and private sector AI efforts.
- August 27, 2019
The Chinese technology vendor Huawei aims to speed up AI training times with the launch of a new processor in China and a new AI computing framework.
- August 15, 2019
As enterprises rely more on conversational agents to power customer service efforts, tech vendors such as IBM and Google steadily develop new methods of training language models.
- May 07, 2019
For the first time, Google Cloud TPU Pods are available in public beta, enabling machine learning developers and engineers to more quickly deploy and train models.
- April 19, 2019
Enterprises are having a hard time hiring data scientists, who are scarce and high-priced. But as edge devices get smarter, they may not need them as badly.
- April 08, 2019
IBM has delivered a low-cost workstation tuned to work hand in hand with its Power AC922 server to lower the bar of entry for AI application development.
- January 11, 2019
Adding to the Intel Nervana chip line, Intel and Facebook are expected to launch in the second half of 2019 a new processor designed to speed up inference.
- July 31, 2018
Google's Edge TPU is a force multiplier to compete against the likes of Amazon, IBM and Microsoft, and to attract next-gen app developers.
- June 14, 2018
Tech vendors and users are moving forward on quantum computing tools and research. While still futuristic, developments bear watching, Forrester's Brian Hopkins says.
- May 18, 2018
A new developer kit from Intel seeks to lower the bar for doing deep learning on CPUs and other types of chips to extract more intelligence from video.
- July 31, 2017
Think before you act on artificial intelligence technologies to ensure that your efforts to become a "cognitive business" lead you in the right direction.
- January 25, 2016
The Blazegraph database runs on graphics processing units to speed graph traversals. Machine learning in the form of Google TensorFlow is also a GPU target.