Abstract: Automatic text summarization (ATS), alongside neural machine translation or question answering, is one of the leading tasks in Natural Language Processing (NLP). In recent years, ATS has ...
Large language models (LLMs) deliver impressive results, but are they truly capable of reaching or surpassing human ...
Overview: In 2025, Java is expected to be a solid AI and machine-learning language.Best Java libraries for AI in 2025 can ease building neural networks, predict ...
There’s a giant question mark hanging over the tech industry’s future: How long will its massive investments in AI ...
According to the BSA, the correct approach to promote AI training while protecting copyright "is to allow for lawful text and ...
Mistral AI launches OCR 3 at $2 per 1,000 pages, arguing that document digitization — not chatbots — is the critical first ...
Artificial intelligence is getting more powerful—but it's also racking up a massive energy bill. Some estimate that one ...
Companies using AI thoughtfully in procurement aren't replacing people; they're freeing those people to do higher-value work.
Abstract: Processing-using-DRAM (PUD) is a processing-in-memory (PIM) approach that uses a DRAM array's massive internal parallelism to execute very-wide (e.g., 16,384-262,144-bit-wide) data-parallel ...
In a transformative three-day workshop at ICAR-NEH, the tribal fisherwomen and youth of Meghalaya immersed themselves in small-scale entrepreneurship. Participants learned innovative techniques for ...
Extract data and apply schemas across your multi-modal content, with confidence scoring and user validation enabling greater speed of data ingestion. Process claims, invoices, contracts and other ...
Running machine learning experiments often involves a series of steps, such as data processing, training, and evaluation. Managing the dependencies and parameters for each step can become complex.
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