Avatar Forcing: Real-time interactive head avatars for natural conversation, and it's not WAN. - handles both speaking & active listening + multimodal responsiveness; - 7x faster than baselines. https://t.co/JbGUSCEdOn

Three Funded PhD Positions in Entomology, Conservation Ecology and Agricultural Economics Arthropod diversity at neglected agricultural-natural interfaces: baselines for conservation and monitoring We have three NRF-funded PhD position available, two in Conservation Entomology

GraphBench: Next-generation graph learning benchmarking is now available! 🔍📊 This work introduces GraphBench: a comprehensive benchmarking framework for graph learning that provides principled baselines and reference performance across modern models. https://t.co/wm2NlL02tq

Amazon measuring deviations in employee keystroke times from pre-established baselines probably shouldn’t surprise us at this point. Seems on brand, actually. “Keystroke data from the laptop of a worker who was supposed to be in US should have taken tens of milliseconds to

This report examines UK carbon removal (#CDR) standards for BioCCS and DACCS, comparing them with international protocols (CRCF EU 2024/3012, ICVCM, Article 6.4). Key criteria - additionality, baselines, leakage, and permanence - highlight strengths and gaps. CRCF simplifies

What is that in @inference_labs that shares proving workloads across decentralized nodes,mixed with JSTprove they achieves up to 86% faster generation than baselines, targeting production zkML use. It's called dsperse integration by inference labs

Speedrunning ImageNet Diffusion - 360x faster training There have been many new techniques demonstrating convergence speedups compared to DiT in the past few years, however all of these have been studied in isolation, against increasingly outdated baselines. I present SR-DiT

Name six more iconic baselines than these, I dare you

Have you guys looked into DSperse integration in @inference_labs for AI and proof of inference? It shares proving workloads across decentralized nodes. Mixed with JSTprove they achieves up to 86% faster generation than baselines, targeting production zkML use.

Baselines are important and not complicated. Look how a person is normally and how they are deviating. Excellent way to determine deception.

The results: • Stronger embodied reasoning (via ERIQ benchmark) • Lower action reconstruction error than prior tokenizers • Better real-world manipulation than both discrete and continuous baselines

I used to wake up flat, then force action just to feel like I was in the market, my @Velvet_Capital fam. That habit never made me sharper, it made me rushed. And rushed is expensive. So I built a simple fix on Velvet, three default baselines that keep me anchored so I do not

Bondi follow-on warning: NSW Police say 15 dead + terrorism/murder charges filed. Sydney then interdicted 7 men on intel of a possible terrorist act. This is a blueprint for a 9/11 2.0, layered attacks, follow up attacks. Establish baselines and spot abnormalities. In public

ACE-SLAM: Scene Coordinate Regression for Neural Implicit Real-Time SLAM - 29+ FPS (≈99% RT-factor), 11–13 ms relocalization, 1–2 MB maps vs tens–hundreds MB baselines. - Matches/outperforms iMAP/NICE-SLAM/ESLAM/Point-SLAM on ATE; baselines <1 FPS. Explained: SLAM estimates

Congratulations to Shiva Naserabadi who successfully defended her MSc thesis on November 24, 2025! “Misrepresentation, Enforcement, and Super-Additionality: Designing Optimal Agricultural Offset Baselines Under Incomplete Information” Supervised by Dr. Tristan Skolrud.

Day 3 of #AICC26 Conference is open to non-AICC members and includes crunching the numbers on farm profitability, the importance of understanding farm baselines, and a Future of Farming Debate in conjunction with @FarmersWeekly & Baroness @minette_batters #independent #agronomy

Relief, unease, and “Libertad”: Venezuela’s split reaction ...Venezuelans reacted to Nicolás Maduro’s capture with relief abroad and caution at home. Here’s what reporting, polling baselines, and X posts reveal about a divided mood, disinformation risks, and what comes next.

RLMs treat the prompt as data inside a REPL and let the LM recurse on snippets—handling 10M+ tokens and beating long-context baselines on tough tasks. Simple idea, big wins. Paper: https://t.co/iqbhLuggAS #RLM #LLM #AIResearch

The https://t.co/9TRM9lT7wo Deep House channel brings together a remarkable collection of the best Deep House music in the world with silky acoustic tracks, probing baselines, and the occasional layer of soulful vocals. - https://t.co/S3s8qbQGde #deephouse #difm