Virtualizing the Automated Assembly Line
Automotive assembly line virtualization involves the use of digital tools and techniques to model, simulate, optimize, and manage assembly processes before …
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.
Automotive assembly line virtualization involves the use of digital tools and techniques to model, simulate, optimize, and manage assembly processes before …
Integrating artificial intelligence (AI) into feedback-driven processes pushes the boundaries of what's possible in automotive
phi-1, a new large language model for code, was trained on much less, but highly curated data in a faster time than comparable LLMs.
In this week's real-time analytics news: MLCommons released its latest machine learning benchmark testing results.
The project hopes to demonstrate that public cloud resources can be harnessed to handle large-scale, high-fidelity simulations for medical applications.
RT-2 utilizes chain-of-thought reasoning, allowing it to make multi-stage decisions, such as selecting alternative tools or beverages based on specific …
Successful food and beverage companies continually innovate and upgrade their technological infrastructure using edge computing, big data, predictive …
Legacy systems are at the center of business operations. So, you can't use AI to understand or improve your business operations without
In this week's real-time analytics news: IBM announced plans for new generative AI foundation models and enhancements coming to
The convergence of AI and data modernization is set to redefine the future of business