Finding Emotions Where They Belong: Rethinking Audio Emotion Recognition through Masked Temporal Affective Grounding

[AI in Action] Gemini Agentic Video: 4 Hidden Prerequisites and My LINE Bot Integration Process

Background I have a LINE Bot that I use every day, linebot-helper-python . If you send it a URL, it returns a summary and social media copy for four platforms; if you send a YouTube link, it returns a…

• apiversion must be set to v1beta1 for agentic video to work
• mediaprocessing must be set to AGENTIC for agentic mode activation
• model must be gemini-3.7-flash, gemini-3.6-flash, or gemini-3.5-flash-lite

2026-09-26 ·dev.to

Nutri-ATLAS: Embodied Agent for Tabulated Lookup and Assistance for Smarter nutrition

Generative and Agentic IoT systems offer a promising foundation for digital healthcare applications that combine sensing, personalized reasoning, and autonomous interaction in real-world environments.

2026-09-26 ·arxiv.org

[AI in Practice] Gemini 3.8 Flash TTS Launch: I built a "Learn Japanese with MVs" Web App and burned through my daily quota.

Recap Every time I see a new Gemini feature, my first thought is "Can I connect it to my LINE Bot?" The Gemini API release notes from 9/22 stated that Gemini 3.8 Flash TTS and Gemini 3.8 Flash-Lite…

• Gemini 3.8 Flash TTS and Flash-Lite TTS models officially launched on September 22
• Developed web app using MVs to teach Japanese with pronunciation guidance
• Utilized Gemini 3.8 Flash TTS for natural-sounding voices and voice replication

2026-09-26 ·dev.to

Decision-Sufficient State Representations: Measuring and Reducing Write-Time Regret

Long tasks produce more history than an LLM agent can hold in its context, and more than it uses reliably even when the history fits.

2026-09-26 ·arxiv.org

Beyond Accuracy: Counterfactual Fragility and Demographic Bias in Clinical Evaluation of LLMs

Clinical LLM evaluation often emphasizes answer accuracy; however, accuracy alone does not test counterfactual consistency or demographic robustness.

2026-09-26 ·arxiv.org

Mind the Spike: Mechanisms and Brittleness of Visual Massive Activations in Large Vision-Language Models

Large vision-language models (LVLMs) inherit massive activations from their text-only bases: spikes where a few fixed hidden channels receive values thousands of times above the typical magnitude.

2026-09-26 ·arxiv.org