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Using geometry and physics to explain feature learning in deep neural networks
Deep neural networks (DNNs), the machine learning algorithms underpinning the functioning of large language models (LLMs) and ...
OpenAI has new, smaller open models to take on DeepSeek - and they'll be available on AWS for the first time
New OpenAI gpt-oss models aim for low-resource performance and enterprise use, though their real-world capabilities remain ...
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IBM and Moderna have simulated the longest mRNA pattern without AI — they used a quantum computer instead
Scientists used IBM's R2 Heron quantum processor to predict the secondary protein structure of a 60-nucleotide-long mRNA ...
IEEE2d
Training Swinging Door Trending Compression Algorithm for IoT devices
The communication system is essential for the devices used in IoT. Nevertheless, the consumption caused by transmitting and receiving data is a concern in many scenarios. That is due to these devices ...
IEEE2d
Model-Driven Deep Learning-Based Optimization of Downlink Precoding and ...
Cell-free multiple-input multiple-output (MIMO) system is a promising solution for wireless communications. However, the potential in improving system performance is restricted due to the ...