Fintech Asia News Feed
Discover more about the world of artificial intelligence, machine learning, and blockchain through our carefully curated news feed.
Billion-Spectrum AI Corpus Pushes Proteomics Into the Deep Learning Era
Proteomics has long labored under a paradox: the field generates staggering volumes of data, yet its machine learning models have been starved of the kind of curated, standardized corpora that fueled the revolutions in language and vision. Now, a team led by researchers at Westlake University, Fudan University and the Shanghai Artificial Intelligence Laboratory has
Open-source Integrated HSM for hardware security | Microsoft Azure Blog
At this year’s OCP Global Summit, Microsoft announced Project Tessera, the evolution of the Azure Integrated Hardware Security Module (HSM), into a fully open-source initiative developed in collaboration with Marvell®, Oracle, and Open Compute Project (OCP). Project Tessera advances our broader commitment to open, industrywide standards for platform security. The motivation behind Project Tessera is
How to Rewrite Apache Spark UDFs for GPU Acceleration with AI Agents | NVIDIA Technical Blog
Enterprise applications have become increasingly demanding. Agentic AI has compounded the need for vast amounts of enterprise data with frequent, complex queries across increasingly large datasets. Meeting that demand requires greater data throughput without a proportional increase in cost. NVIDIA cuDF addresses this challenge by leveraging the massive parallelism and high-bandwidth memory of GPUs for
Mixture-of-Experts kernel engineering on Amazon SageMaker AI | Amazon Web Services
Mixture-of-Experts (MoE) is a sparsely-activated architecture that scales large language model (LLM) capacity while keeping per-token compute low. Because its operations account for a large share of total compute time, inefficiencies there directly raise request latency and cost. Therefore, optimizing MoE operations through kernel engineering offers the largest opportunity for performance gains. Fused MoE is
Automotive AI Technology Innovation Key Trends, Growth Drivers and Opportunities
Automotive AI refers to the use of artificial intelligence technologies including machine learning, computer vision, deep neural networks, natural language processing, and sensor fusion to make vehicles safer, smarter, and more autonomous. Powered by high-performance AI chips, IoT connectivity, 5G networks, cloud computing, and edge intelligence, modern vehicles can now perceive their surroundings, predict risks
Staff Applied AI/ML Scientist – Central Technology, Anti-Cheat
Anti-Cheat is Riot’s first defense against cheaters that don’t want to play fair. As a cross-discipline team of former cheaters, kernel developers, machine learning engineers, data analysts, and software engineers, they make products like Vanguard to detect and ban the bad guys across all of Riot’s competitive titles and platforms, staying vigilant to whatever shape
Africa has crucial role in advancing study of AI, say professors
Scholars who built network of tens of thousands of people working on AI say research produced on the continent can ‘push the boundaries’ Published on October 13, 2026 Last updated October 13, 2026 Africa is by no means “at the kiddies’ table” when it comes to contributing to engineering advancements in artificial intelligence, according to two








