Nissan Advances Autonomous Driving with Taxi Service
Nissan’s approach combines SAE level 4 autonomous driving with a smart roadway infrastructure, which allows the environment to send relevant information to …
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.
Nissan’s approach combines SAE level 4 autonomous driving with a smart roadway infrastructure, which allows the environment to send relevant information to …
We can define the term digital twin today to be “a digital replica of any object or environment that enables full information for autonomous
Many FinTech companies incorporate various methods to distinguish fraud from ordinary transactions. But it is even better to prevent fraud even before it …
Organizations are turning to conversational AI to meet communication demands, with the adoption of chatbots and conversational interfaces reaching an …
Operationalizing AI depends on a mature infrastructure, highly skilled staff, and elimination of data silos. When these are achieved, companies can personalize …
Today’s complex application development and deployment environments based on cloud need SOAR (security orchestration, automation, and response) technologies …
Companies must address security weaknesses in their networked applications as well as non-IT-controlled ones, and CAASM may finally provide a
As companies seek ways to use artificial intelligence they will find AI is best applied to tasks that humans can't do as well or don't want to do at
In this week's real-time analytics news: The Linux Foundation and the CNCF announced the availability of the Kubernetes and Cloud Native Associate Exam, and …
The key to computational storage is to initiate its commercialization by dropping the conventional "computation offloading"