Government
Xi tests China's reach by blocking already-done Meta deal
Xi tests China's reach by blocking already-done Meta deal The Manus decision comes just weeks before China's Xi Jinping and the U.S. president are scheduled to meet at a high-profile summit. Meta cut the deal for Manus as part of its effort to catch up with rivals such as Alphabet's Google, OpenAI and Anthropic. China has sought for years to exert influence over business deals beyond its home turf. Still, its decision to press Meta Platforms to unwind a $2 billion acquisition of AI startup Manus marks a step unlike anything it's tried before. The country's powerful state planner decreed Monday that the deal must be canceled -- four months after it was sealed.
NASA needs your help spotting meteors hitting the moon
Don't let the Artemis II astronauts have all the fun. More information Adding us as a Preferred Source in Google by using this link indicates that you would like to see more of our content in Google News results. The moon is bombarded by meteoroids the size of ping-pong balls every day. Breakthroughs, discoveries, and DIY tips sent six days a week. Establishing a long-term human presence on the moon is a daunting challenge.
ChimpACT: ALongitudinal Dataset for Understanding Chimpanzee Behaviors
Understanding the behavior of non-human primates is crucial for improving animal welfare, modeling social behavior, and gaining insights into distinctively human and phylogenetically shared behaviors. However, the lack of datasets on non-human primate behavior hinders in-depth exploration of primate social interactions, posing challenges to research on our closest living relatives. To address these limitations, we present ChimpACT, a comprehensive dataset for quantifying the longitudinal behavior and social relations of chimpanzees within a social group. Spanning from 2015 to 2018, ChimpACT features videos of a group of over 20 chimpanzees residing at the Leipzig Zoo, Germany, with a particular focus on documenting the developmental trajectory of one young male, Azibo.
Quantifying Modeling Interactions An Information Decomposition Framework
The recent explosion of interest in multimodal applications has resulted in a wide selection of datasets and methods for representing and integrating information from different modalities. Despite these empirical advances, there remain fundamental research questions: How can we quantify the interactions that are necessary to solve a multimodal task? Subsequently, what are the most suitable multimodal models to capture these interactions? To answer these questions, we propose an information-theoretic approach to quantify the degree of redundancy, uniqueness, and synergy relating input modalities with an output task. We term these three measures as the PID statistics of a multimodal distribution (or PID for short), and introduce two new estimators for these PID statistics that scale to high-dimensional distributions. To validate PID estimation, we conduct extensive experiments on both synthetic datasets where the PID is known and on large-scale multimodal benchmarks where PID estimations are compared with human annotations. Finally, we demonstrate their usefulness in (1) quantifying interactions within multimodal datasets, (2) quantifying interactions captured by multimodal models, (3) principled approaches for model selection, and (4) three real-world case studies engaging with domain experts in pathology, mood prediction, and robotic perception where our framework helps to recommend strong multimodal models for each application.
How to avoid the horror of walking through a spiderweb, according to the National Park Service
Hiking sticks, hats, and other simple tricks can keep your hike web-free. More information Adding us as a Preferred Source in Google by using this link indicates that you would like to see more of our content in Google News results. Breakthroughs, discoveries, and DIY tips sent six days a week. You're striding confidently down what seems to be a clear, open path, and then you feel it. The more you try to backtrack and flail your way out of it the more you feel like Frodo wrapped in Shelob the spider's deadly web, your luckier friends snickering like orcs ready to take you back to Mordor .