Open source Mamba 3 arrives to surpass Transformer architecture with nearly 4% improved language modeling, reduced latency

This release is good for developers building long-context applications, real-time reasoning agents, or those seeking to reduce GPU costs in high-volume production environments.
Tech Xplore

Hybrid AI model combines graphs and transformers for real-time traffic forecasts

Urban congestion is a big problem in our cities. It leads to commuter delays and economic inefficiency. More tragically, though, it leads to a million deaths annually worldwide. Research appearing in ...
Computer Weekly

Pathway builds truly native reasoning model to solve LLM Sudoku stumbling blocks

First set out in a scientific paper last September, Pathway’s post-transformer architecture, BDH (Dragon hatchling), gives LLMs native reasoning powers with intrinsic memory mechanisms that support ...
Analytics Insight

Best PyTorch Courses to Learn Deep Learning in 2026

PyTorch is one of the most popular tools for building AI and deep learning models in 2026.The best PyTorch courses teach both basic concept ...
IEEE

DTLN: Deep Transformer Learning Network for Multi-Wavelength Strain Classification in Sports Wearables

Abstract: Wearable Piezoresistive pressure sensors measure the electrical resistance change under mechanical strain, but existing methods struggle with heterogeneous wavelength classification due to ...
GitHub

Vienna Deep Learning Meetup

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GoUpstate

Global Leading Distribution Transformer Supplier FARADY: A Deep Dive into Innovation

YUEQING, ZHEJIANG, CHINA, January 8, 2026 /EINPresswire.com/ — Farady Electric has made an announcement highlighting comprehensive, strategic enhancement of core ...
GitHub

AI Agents for Social Science and Society 2026

AI agents are emerging everywhere, from social media and the workplace to social science. Agentic AI architectures, powered by large language and vision models atop transformers, trained on a deluge ...
IEEE

Detection Transformer-based Deep Learning for Multisource Partial Discharge Recognition in High-Voltage Rotating Machine Insulation

Abstract: Partial discharge (PD) is a critical early indicator of insulation degradation in high-voltage rotating machines. Minor undetected defects during manufacturing, combined with operational ...
Hosted on MSN

Transformers in deep learning: Beginner’s guide explained

We dive into Transformers in Deep Learning, a revolutionary architecture that powers today's cutting-edge models like GPT and BERT. We’ll break down the core concepts behind attention mechanisms, self ...