The next step in the evolution of generative AI technology will rely on ‘world models’ to improve physical outcomes in the real world.
Step aside, LLMs. The next big step for AI is learning, reconstructing and simulating the dynamics of the real world.
At the core of every AI coding agent is a technology called a large language model (LLM), which is a type of neural network ...
To address the trade-off between accuracy and cross-city generalization in traffic flow estimation, a research team from The ...
Network-wide traffic flow, which represents the dynamic traffic volumes on each link of a road network, is fundamental to smart cities. However, the ...
Large enterprises today find themselves stuck in the “messy middle” of digital transformation, managing legacy on-premise firewalls from Palo Alto, Check Point, and Fortinet while simultaneously ...
How Prannoy Kiran Saride’s patented routing architecture strengthens 4G and 5G telecom network resiliency by preventing ...
Vehicle platooning, first studied as an application of Intelligent Transportation Systems (ITS), is increasingly gaining ...
Background and MotivationSystemic financial risk remains a critical challenge for modern economies, underscored by recurring crises such as the 2008 ...
Researchers from Politecnico di Milano propose a data-driven water leak detection method that treats leaks as anomalies in ...
Deemos, the company behind Hyper3D and a recognized leader in 3D generative AI, today announced it has acquired a commercial ...
By acquiring the developer of Slurm, Nvidia is strengthening its influence over how AI workloads are scheduled across GPUs ...
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