A quiet revolution is reshaping enterprise data engineering. Python developers are building production data pipelines in ...
Shanghai AI Lab researchers find that giving AI richer context—called “context engineering”—can make models smarter without retraining.
The collaborative infrastructure innovation delivers nearly half a million Trainium2 chips in record time, with Anthropic scaling to more than one million chips by the end of 2025. Project Rainier, ...
Abstract: This paper introduces a novel FPGA-based Convolutional Neural Network (CNN) architecture for continuous radio data processing, specifically targeting modulation classification on the Zynq ...
SUTD researchers test a privacy-preserving approach that blends federated learning with cloud coordination for smart grids in future 6G environments. Modern power grids depend on constant chatter.
Abstract: Deepfake detection presents a significant challenge, particularly when the available training data is constrained to a limited set of semantic categories—a common and realistic scenario. In ...
Michigan State University's Office of Civil Rights has launched a new public data dashboard to increase transparency. Data from the dashboard will also be used internally to improve prevention and ...
The primary motivation stems from the limitations of existing methods for long-context LLM training. The predominant strategy, Sequence Parallelism (SP), suffers from substantial communication ...
The startup has reached a valuation of $500 million in the latest round, and is betting that audio data will be increasingly important for developing AI models. David AI creates custom audio data by ...
For command-line usage, install the package globally: CDN Options: https://www.jsdelivr.com/package/npm/pdf-parse https://cdn.jsdelivr.net/npm/pdf-parse@latest/dist ...
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