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Fintech Asia News Feed

Discover more about the world of artificial intelligence, machine learning, and blockchain through our carefully curated news feed.

19Oct 24
Graphenet:-a-deep-learning-framework-for-predicting-the-physical-and-electronic-properties-…

GrapheNet: a deep learning framework for predicting the physical and electronic properties …

Introduction Obtaining a precise representation of the structure of complex materials and chemical systems is still a challenging task1,2,3. These difficulties hamper the definition of accurate structure/property relationships and, in particular, prevent from a thorough application of machine learning (ML) and artificial intelligence (AI) methods to the study and development of advanced materials4,5. Recent work
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19Oct 24
Intel-boosts-ai-development-with-contributions-to-pytorch-2.5-–-datanami

Intel Boosts AI Development with Contributions to PyTorch 2.5 – Datanami

Oct. 18, 2024 — Developers working in artificial intelligence (AI) can access expanded support for Intel GPUs in PyTorch 2.5, which was recently released with contributions from Intel. GPUs supported include Intel Arc discrete graphics, Intel Core Ultra processors with built-in Intel Arc graphics and Intel Data Center GPU Max Series. These new features help promote
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19Oct 24
Encryption-experts-say-providers-should-look-to-pets-for-safer-analytics

Encryption experts say providers should look to PETs for safer analytics

Privacy and data usage in the age of artificial intelligence are colliding in healthcare where maintaining trust is as essential as advancing patient care. Secure encryption technologies and regulatory guidance can help to ensure health systems get a handle on protecting the patient data they store and use. Rina Shainski and Dr. Kurt Rohloff, cofounders at
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18Oct 24
Leading-ai-chip-makers-shaping-tomorrow’s-technology-–-auto-gpt

Leading AI Chip Makers Shaping Tomorrow’s Technology – Auto-GPT

Artificial Intelligence (AI) is transforming industries worldwide, from healthcare to transportation. But behind the rapid advancements in AI, there’s a lesser-known but critical component driving this revolution: AI chips. These specialized hardware pieces process vast amounts of data efficiently. Hence, making them essential for everything from self-driving cars to language models. In recent years, the
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