Affect is a positive-to-negative feeling in consciousness, and there is fierce debate about exactly what it is. This post summarizes the current state of the debate.

The bar for commerce in 2025 was simple: hold share, protect engagement, and avoid further erosion. Alibaba largely met that ...

To prevent jitter between frames, Kuta explains that D-ID uses cross-frame attention and motion-latent smoothing, techniques that maintain expression continuity across time. Developers can even ...

Incubated for DoD & Intelligence use cases, startup announces commercial availability of enterprise AI platform, delivering ...

ABSTRACT: Determining the causal effect of special education is a critical topic when making educational policy that focuses on student achievement. However, current special education research is ...

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical ...

View post: How Much Are You Willing To Pay for a Lift Ticket? (Poll) Faction Skis has released a limited-edition graphic celebrating one of their most successful and loved skiers—Eileen Gu. Gu, who ...

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...

Researchers at DeepSeek on Monday released a new experimental model called V3.2-exp, designed to have dramatically lower inference costs when used in long-context operations. DeepSeek announced the ...

A technical paper titled “Yes, One-Bit-Flip Matters! Universal DNN Model Inference Depletion with Runtime Code Fault Injection” was presented at the August 2024 USENIX Security Symposium by ...

This figure shows an overview of SPECTRA and compares its functionality with other training-free state-of-the-art approaches across a range of applications. SPECTRA comprises two main modules, namely ...

The AI industry stands at an inflection point. While the previous era pursued larger models—GPT-3's 175 billion parameters to PaLM's 540 billion—focus has shifted toward efficiency and economic ...