Bankruptcy prediction has traditionally relied on statistical approaches such as Altman’s Z-score, which use financial ratios ...

In the modern field of deep learning, linear attention mechanisms are gradually becoming a powerful tool for handling long sequence data. Recent research has revealed how these mechanisms 'decay' ...

For the last few years, chain-of-thought prompting has become the central method for reasoning in large language models. By encouraging models to “think aloud,” researchers found that step-by-step ...

AI is reshaping brand engagement, but its effectiveness relies on high-quality, curated data, a significant challenge for ...

Still crediting only the last click? That oversimplifies your funnel. Explore better models to see what’s really working across your channels. The post Your quick guide to marketing attribution models ...

Based on this new architecture, Alibaba Tongyi has 'sampled' the Qwen3-Next-80B-A3B series models, which include two major open-source versions: instruction (Instruct) and inference (Thinking). The ...

An AI-driven digital-predistortion (DPD) framework can help overcome the challenges of signal distortion and energy ...

This Chinese humanoid robot combines language understanding with a disturbance-resistant gait, pointing to the future of ...

An effort by President Trump’s administration to curb advertising for pharmaceutical drugs on television is posing creating a ...

The consulting sector could be headed for a decade of changes that will make it harder to climb through the ranks, industry ...

This meant that a model could look at the neural signals of a person and infer what colour they were viewing—even without ...

Objectives Hamstring strain injury (HSI) is the most common time-loss injury in football and is prone to recurrence. This ...