Predicting fetal well-being from cardiotocography signals using AI
AI

Predicting fetal well-being from cardiotocography signals using AI

Cardiotocography (CTG) is a doppler ultrasound–based technique used during pregnancy and labor to monitor fetal well-being by recording fetal heart rate (FHR) and uterine contractions (UC). CTG can be done continuously or intermittently, with leads placed either externally or internally. External CTG involves the use of two sensors placed on the birthing parent’s belly: an […]

How AlphaChip transformed computer chip design
AI

How AlphaChip transformed computer chip design

Science Published 26 September 2024 Authors Anna Goldie and Azalia Mirhoseini Our AI method has accelerated and optimized chip design, and its superhuman chip layouts are used in hardware around the world In 2020, we released a preprint introducing our novel reinforcement learning method for designing chip layouts, which we later published in Nature and

The Intelligence Age by Sam Altman • AI Blog
AI

The Intelligence Age by Sam Altman • AI Blog

Sam Altman’s blog post “The Intelligence Age” discusses the transformative potential of AI, predicting a future where AI can help solve hard problems, drastically improve quality of life, and create significant societal progress. He envisions personal AI teams aiding individuals, personalized virtual tutors for education, and breakthroughs in healthcare and software development. Altman emphasizes that

Predicting fetal well-being from cardiotocography signals using AI
AI

Scaling up linear programming with PDLP

Classic linear programming (LP) problems are one of the most foundational problems in computer science and operations research. With extensive applications across numerous sectors of the global economy, such as manufacturing, networking, and other fields, LP has been the cornerstone of mathematical programming and has significantly influenced the development of today’s sophisticated modeling and algorithmic

Predicting fetal well-being from cardiotocography signals using AI
AI

Open Buildings 2.5D Temporal dataset tracks building changes across the Global South

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

Predicting fetal well-being from cardiotocography signals using AI
AI

Recognizing whale vocalizations with AI

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

Empowering YouTube creators with generative AI
AI

Empowering YouTube creators with generative AI

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

Predicting fetal well-being from cardiotocography signals using AI
AI

The long orbit to benchmarking long video understanding

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

Scroll to Top