In-Cabin Sensing has Automakers Looking Inward
In 2025, in-cabin sensing is the underlying foundation needed for legal compliance, semi-autonomous driving, safety ratings, and the premium user experience …
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.
In 2025, in-cabin sensing is the underlying foundation needed for legal compliance, semi-autonomous driving, safety ratings, and the premium user experience …
In this week's real-time analytics news: MIT focuses on making AI-generated code more accurate in any
DeepSeek’s emergence reinforces the reality that AI success isn’t solely about who builds the biggest model – it’s about who deploys AI in the most …
As BI applications embrace Gen AI, the clarion call for providing them with well-defined data becomes even more pertinent. With a robust semantic layer that …
The patterns of technology adoption continue to be predictable, with GenAI following the same path cloud computing blazed before it. Just as cloud architecture …
By outsourcing AI infrastructure to the cloud provider, serverless inference frees enterprises to focus on the application layer of their AI
Does every AI application need a human in the loop? No. Of course not. The challenge is determining which applications need human input and
In this week's real-time analytics news: NVIDIA announced that it will build AI supercomputers entirely in the U.S.
An intent-based framework allows organizations to securely adopt AI technologies by understanding critical use cases, integrating AI with targeted policies, …
The transformation of bowling through edge AI reveals its potential to reshape far more than sports. The ability to enable remote, verified competition with …