By the year 2050 the world’s urban population is expected to increase by 2.5 billion, with nearly 90% of that growth occurring in cities across Asia and Africa. To effectively plan for this population growth, respond to crises, and understand urbanization’s impact, governments, humanitarian organizations, and researchers need data about buildings and infrastructure, including how […]

In order to protect animals that live in remote environments, researchers must be able to find them to understand the movements of their populations over time. As long-term passive acoustic monitoring capabilities have grown more technologically sophisticated, automatic animal species identification tools built on large datasets from these recorded soundscapes have become an increasingly vital

Models Published 18 September 2024 Authors Eli Collins New video generation technology in YouTube Shorts will help millions of people realize their creative vision Artificial intelligence (AI) technologies for generating creative content are improving rapidly, but seamless ways of using them still aren’t widely available. We’re changing that, and making these incredible technologies more easily

Pipeline Long video datasets are challenging to build because of the significant manual effort required to select, watch, understand and annotate long videos with free-form natural language. Answering challenging questions about longer videos is often a multimodal task that may involve listening to the audio track in addition to watching the video. It may also

Abstract We propose a novel geometric model to explain the observed redshift of light from distant celestial objects without invoking cosmic expansion or gravitational redshift. By examining the angular geometry between the light source, the observer, and a fixed reference point “above” the observer, we demonstrate how spatial geometry alone can lead to an apparent

Research Published 12 September 2024 Authors Robotics team Two new AI systems, ALOHA Unleashed and DemoStart, help robots learn to perform complex tasks that require dexterous movement People perform many tasks on a daily basis, like tying shoelaces or tightening a screw. But for robots, learning these highly-dexterous tasks is incredibly difficult to get right.

Large Language Models (LLMs) have revolutionized how we interact with information, but grounding their responses in verifiable facts remains a fundamental challenge. This is compounded by the fact that real-world knowledge is often scattered across numerous sources, each with its own data formats, schemas, and APIs, making it difficult to access and integrate. Lack of

LLM-based chatbots’ capabilities have been advancing every month. These improvements are mostly measured by benchmarks like MMLU, HumanEval, and MATH (e.g. sonnet 3.5, gpt-4o). However, as these measures get more and more saturated, is user experience increasing in proportion to these scores? If we envision a future of human-AI collaboration rather than AI replacing humans,

AI-generated images are not just hyper-realistic; they can also be crafted to embody an infinite variety of features, expressions, and aesthetics. A recent example is a post by Moritz Stellmacher on X that showcases a very intriguing human portrait, leaving viewers puzzled about whether it’s a photograph of a real person or an AI creation. This

Science Published 5 September 2024 Authors Protein Design and Wet Lab teams New AI system designs proteins that successfully bind to target molecules, with potential for advancing drug design, disease understanding and more. Every biological process in the body, from cell growth to immune responses, depends on interactions between molecules called proteins. Like a key