Abstract: The surge in intelligent edge computing has propelled the adoption and expansion of the distributed embedded systems (DESs). Numerous scheduling strategies are introduced to improve the DES ...
In 2025, large language models moved beyond benchmarks to efficiency, reliability, and integration, reshaping how AI is ...
Top AI researchers like Fei-Fei Li and Yann LeCun are developing world models, which don't rely solely on language.
The next step in the evolution of generative AI technology will rely on ‘world models’ to improve physical outcomes in the real world.
For IT and HR teams, SLMs can reduce the burden of repetitive tasks by automating ticket handling, routing, and approvals, ...
Chinese AI startup’s release is a major update to its open-source model series, aimed at multi-language programming and ...
Step aside, LLMs. The next big step for AI is learning, reconstructing and simulating the dynamics of the real world.
Abstract: Digital predistortion (DPD) has proven to be an efficient method of linearizing power amplifiers (PAs). In recent years, the use of neural networks (NNs) for DPD has gained momentum. This ...
Apple researchers presented UniGen 1.5, a system that can handle image understanding, generation, and editing within a single ...
Traditional semantic layers often rely on middle-tier caching, introducing additional latency and cost. MetaKarta Semantic Hub takes a different approach through orchestrated materialization, ...
@misc{GANESH2024KANGPT, author = {Aditya Nalgunda Ganesh}, title = {KAN-GPT: The PyTorch implementation of Generative Pre-trained Transformers (GPTs) using Kolmogorov ...
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