Fintech Asia News Feed
Discover more about the world of artificial intelligence, machine learning, and blockchain through our carefully curated news feed.
TD Launches Credit Assist, Turning Days of Commercial Credit Work into Minutes
New multi-agent AI capability reduces preparation of a first-draft credit memo from up to three working days to less than 30 minutes, helping TD credit professionals make faster, more informed lending decisions MOUNT LAUREL, NJ, Oct. 22, 2026 — TD Bank U.S. today unveiled TD Credit Assist, an AI capability that reduces the time required
Africa’s AI challenge
Togo has asked its citizens to contribute texts, recordings and translations to “develop AI models that address the linguistic diversity of the country”, said AI for Developing Countries Forum. More than just a “regional experiment”, it is a “blueprint for how developing nations can use technology to assert their cultural sovereignty and economic relevance in
C-Infinity: Interview With Founder And CEO Sai Nelaturi About AI-Powered Manufacturing Reasoning
By Amit Chowdhry Today at 11:30 AM C-Infinity is developing an AI-powered manufacturing reasoning layer designed to bridge the gap between product design and production planning. Its initial focus is assembly planning, where its AutoAssembler platform translates engineering designs into manufacturing-ready process intelligence by combining deterministic reasoning with machine learning. Pulse 2.0 interviewed C-Infinity Founder
How to speak whale
LONDON – Arriving on the Caribbean island of Dominica for the first time “feels a little bit like stepping into Jurassic Park,” said Giovanni Petri, professor in the Network Science Institute at Northeastern University London. Known as Nature Island, Dominica comprises thick rainforest, volcanic mountains with dramatic waterfalls, and vibrant coral reefs that fall away
OpenAI makes its Jev competitor widely available as decision model competition heats up | TechCrunch
OpenAI made its Decisions API model widely available to users for the first time, entering the market for fast, cheap intelligence that recently made TypeSafe, a startup founded by a former researcher at the frontier lab, a $7.6 billion company. TypeSafe’s Jev model created a category for deep learning models that act as super classifiers:
AWS Neuron 2.33 adds native PyTorch support, Neuron Observer, and other new features – AWS
AWS Neuron 2.33 is now available, introducing TorchNeuron, the native PyTorch backend for AWS Trainium, in public beta. You can run models written with the standard PyTorch APIs on Amazon EC2 Trn2 and Trn3 instances, in eager mode or with torch.compile. This release also introduces Neuron Observer in public beta, which detects Trainium health issues
Train Qwen3 on AWS Trainium with torchtitan | Amazon Web Services
Using torchtitan on AWS Trainium means using it the way you always have. TorchNeuron registers Trainium as a native PyTorch device, which lets torchtitan use it through standard PyTorch interfaces. You can use these configurations to pre-train from random initialization or fine-tune published weights. You can also customize the model implementation and kernels for your







