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!”
We are launching a new set of resources for general-purpose robotics learning across different robot types, or embodiments. Together with partners from 34 academic labs we have pooled data from 22 different robot types to create the Open X-Embodiment dataset. We also release RT-1-X, a robotics transformer (RT) model derived from RT-1 and trained on …
Read more “Scaling up learning across many different robot types”
IT is under enormous pressure. The expectation is 24/7/365 performance while also delivering increasingly better customer experiences at the lowest possible cost. The reality is that it’s difficult to keep apps performing as designed, especially in modern, cloud-native environments with microservices and Kubernetes. Cloud costs are out of control, and teams spend too much time …
Read more “Operationalize automation for faster, more efficient incident resolution at a lower cost”
Today, we are thrilled to announce many improvements for forecasters on Vertex AI. We are launching TimeSeries Dense Encoder (TiDE), a new forecasting model architecture with massive performance improvements. The new model architecture is one of the many improvements enabled by a new forecasting backend that leverages Vertex AI Pipelines and provides more transparency, more …
Read more “10x performance improvement with the latest forecasting updates in Vertex AI”
There’s a Galaxy S23 FE smartphone, a few Galaxy Tab S9 FE tablets, and Galaxy Buds FE wireless earbuds. All are priced lower than their flagship counterparts.