Posted by Zalán Borsos, Research Software Engineer, and Marco Tagliasacchi, Senior Staff Research Scientist, Google Research The recent progress in generative AI unlocked the possibility of creating new content in several different domains, including text, vision and audio. These models often rely on the fact… Read More »SoundStorm: Efficient parallel audio generation Google AI Google AI Blog
Making ChatGPT your assistant to help you write an email is trivial since it is well-known to be very capable of generating text. It is pretty apparent that ChatGPT cannot help you cook your dinner. But you may wonder if it can generate something… Read More »Creating a PowerPoint Presentation using ChatGPT Adrian Tam MachineLearningMastery.com
Neural generative models have transformed the way we consume digital content, revolutionizing various aspects. They have the capability to generate high-quality images, ensure coherence in long spans of text, and even produce speech and audio. Among the different approaches, diffusion-based generative models have gained… Read More »From Sound to Sight: Meet AudioToken for Audio-to-Image Synthesis Daniele Lorenzi Artificial Intelligence Category – MarkTechPost
This post is co-written with Aruna Abeyakoon and Denisse Colin from Light and Wonder (L&W). Headquartered in Las Vegas, Light & Wonder, Inc. is the leading cross-platform global game company that provides gambling products and services. Working with AWS, Light & Wonder recently developed… Read More »How Light & Wonder built a predictive maintenance solution for gaming machines on AWS Aruna Abeyakoon AWS Machine Learning Blog
Detecting delirium isn’t easy, but it can have a big payoff: speeding essential care to patients, leading to quicker and surer recovery. Improved detection also reduces the need for long-term skilled care, enhancing the quality of life for patients while decreasing a major financial… Read More »Scientists Improve Delirium Detection Using AI and Rapid-Response EEGs Brian Caulfield – Archives Page 1 | NVIDIA Blog
Researchers investigate if, similar to AlphaGo Zero, where AI agents develop themselves by repeatedly engaging in competitive games with clearly laid out rules, many Large Language Models (LLMs) may enhance one another in a negotiating game with little to no human interaction. The results… Read More »Emergent Ability Unveiled: Can Only Mature AI Like GPT-4 Can Self-Improve? Exploring the Implications of Autonomous Growth in Language Models Aneesh Tickoo Artificial Intelligence Category – MarkTechPost
The rapid expansion of the AI market has surprised and amazed people everywhere. In addition to improving product managers’ productivity, the newly developed technologies can potentially spur the emergence of entirely new professions. However, it’s easy to feel overwhelmed when there are thousands of… Read More »Best AI Tools for Product Managers in 2023 Prathamesh Ingle Artificial Intelligence Category – MarkTechPost
A recent paper titled “Image Captioners Are Scalable Vision Learners Too” presents an intriguing approach called CapPa, which aims to establish image captioning as a competitive pre-training strategy for vision backbones. The paper, authored by a DeepMind research team, highlights the potential of CapPa… Read More »Meet CapPa: DeepMind’s Innovative Image Captioning Strategy Revolutionizing Vision Pre-training and Rivaling CLIP in Scalability and Learning Performance Niharika Singh Artificial Intelligence Category – MarkTechPost
Computer vision is one of the most popular fields of Artificial Intelligence. The models developed using computer vision are able to derive meaningful information from different types of media, be it digital images, videos, or any other visual inputs. It teaches machines how to… Read More »Deepmind Researchers Open-Source TAPIR: A New AI Model for Tracking Any Point (TAP) that Effectively Tracks a Query Point in a Video Sequence Tanya Malhotra Artificial Intelligence Category – MarkTechPost
Posted by Jimmy Tobin and Katrin Tomanek, Software Engineers, Google Research, AI for Social Good Google’s AI for Social Good team consists of researchers, engineers, volunteers, and others with a shared focus on positive social impact. Our mission is to demonstrate AI’s societal benefit by… Read More »Responsible AI at Google Research: AI for Social Good Google AI Google AI Blog