Posted by Carlos Esteves and Ameesh Makadia, Research Scientists, Google Research, Athena Team Typical deep learning models for computer vision, like convolutional neural networks (CNNs) and vision transformers (ViT), process signals assuming planar (flat) spaces. For example, digital images are represented as a grid of pixels on a plane. However, this type of data makes …
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Analyzing medical images plays a crucial role in diagnosing and treating diseases. The ability to automate this process using machine learning (ML) techniques allows healthcare professionals to more quickly diagnose certain cancers, coronary diseases, and ophthalmologic conditions. However, one of the key challenges faced by clinicians and researchers in this field is the time-consuming and …
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Generative AI marks a significant technological shift. Like the internet or the mobile phone, its potential impact on individual and business productivity is extraordinary. Indeed, 82% of organizations considering or currently using generative AI believe it will either significantly change or transform their industry (Google Cloud Gen AI Benchmarking Study, July 2023). In retail, the …
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Google introduced “Assistant with Bard,” a new AI-powered personal assistant that combines the generative and reasoning capabilities of an AI system known as Bard with the personalized assistance of Google Assistant.Read More
Authorities in France brought in Tommy Francois, Serge Hascoët, and three others for questioning this week.
Big data and artificial intelligence (AI) are being used to model hidden patterns in nature, not just for one bird species, but for entire ecological communities across continents. And the models follow each species’ full annual life cycle, from breeding to fall migration to non-breeding grounds, and back north again during spring migration.
Can artificial intelligence (AI) get hungry? Develop a taste for certain foods? Not yet, but a team of Penn State researchers is developing a novel electronic tongue that mimics how taste influences what we eat based on both needs and wants, providing a possible blueprint for AI that processes information more like a human being.
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On August 22, 2022, Stability AI co-released Stable Diffusion alongside talented researchers from LMU Munich and Runway ML. It was a watershed moment in AI that unlocked the power of text-to-image models. One year later, we’ve grown our team by a factor of four, launched more than twenty new products, and become the only independent, …
Read more “Celebrating one year(ish) of Stable Diffusion … and what a year it’s been! “
The countdown has officially begun! We’re just one month away from the highly anticipated Chatbot Conference, and the excitement is palpable. As we gear up for what promises to be an enlightening and engaging day, here’s a quick refresher on what to expect: LLMs Uncovered: Delve deep into Large Language Models and get a grasp of …
Read more “Only 1 Month To Go: The Chatbot Conference Awaits!”