Resilient bug-sized robots keep flying even after wing damage
Researchers have developed resilient artificial muscles that can enable insect-scale aerial robots to effectively recover flight performance after suffering severe damage.
An energy-efficient text-to-audio AI
Generative artificial intelligence (AI) systems will inspire an explosion of creativity in the music industry and beyond, according to the University of Surrey researchers who are inviting the public to test out their new text-to-audio model.
The Doodler Strikes Again
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Mix-and-match kit could enable astronauts to build a menagerie of lunar exploration bots
The Walking Oligomeric Robotic Mobility System, or WORMS, is a reconfigurable, modular, multiagent robotics architecture for extreme lunar terrain mobility. The system could be used to assemble autonomous worm-like parts into larger biomimetic robots that could explore lava tubes, steep slopes, and the moon’s permanently shadowed regions.
Pre-trained Model Representations and their Robustness against Noise for Speech Emotion Analysis
Pre-trained model representations have demonstrated state-of-the-art performance in speech recognition, natural language processing, and other applications. Speech models, such as Bidirectional Encoder Representations from Transformers (BERT) and Hidden units BERT (HuBERT), have enabled generating lexical and acoustic representations to benefit speech recognition applications. We investigated the use of pre-trained model representations for estimating dimensional emotions, …
GPT-4
We’ve created GPT-4, the latest milestone in OpenAI’s effort in scaling up deep learning. GPT-4 is a large multimodal model (accepting image and text inputs, emitting text outputs) that, while less capable than humans in many real-world scenarios, exhibits human-level performance on various professional and academic benchmarks.
Building a Media Understanding Platform for ML Innovations
By Guru Tahasildar, Amir Ziai, Jonathan Solórzano-Hamilton, Kelli Griggs, Vi Iyengar Introduction Netflix leverages machine learning to create the best media for our members. Earlier we shared the details of one of these algorithms, introduced how our platform team is evolving the media-specific machine learning ecosystem, and discussed how data from these algorithms gets stored in …
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Learning from deep learning: a case study of feature discovery and validation in pathology
Posted by Ellery Wulczyn and Yun Liu, Google Research When a patient is diagnosed with cancer, one of the most important steps is examination of the tumor under a microscope by pathologists to determine the cancer stage and to characterize the tumor. This information is central to understanding clinical prognosis (i.e., likely patient outcomes) and …
Maximize performance and reduce your deep learning training cost with AWS Trainium and Amazon SageMaker
Today, tens of thousands of customers are building, training, and deploying machine learning (ML) models using Amazon SageMaker to power applications that have the potential to reinvent their businesses and customer experiences. These ML models have been increasing in size and complexity over the last few years, which has led to state-of-the-art accuracies across a …
Building the most open and innovative AI ecosystem
The future of artificial intelligence (AI) will be open. New and innovative capabilities in areas like generative AI will come from all corners of the technology ecosystem and from companies distributed around the globe — from early stage startups to cloud-native AI platforms to large, global enterprises. The momentum in this space is incredible. In …
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