Elon Musk is preparing to launch a new artificial intelligence startup, X.AI, that aims to rival OpenAI, according to a bombshell report published by the Wall Street Journal on Friday.Read More
The state is poised to be the first in the US to block downloads of the popular app, which could ignite a precarious chain reaction for digital rights.
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Today, Stability AI, the world’s leading open-source generative AI company, announced its release of Stabile Diffusion XL (SDXL), the latest image generation model built for enterprise clients that excels at photorealism. SDXL is the latest addition to the Stable Diffusion suite of models offered through Stability’s APIs catered to enterprise developers. SDXL produces more detailed …
Read more “Stable Diffusion XL Beta Available for API Customers and DreamStudio Users”
TL;DR ChatGPT has no sense of humor about vegan eggs How do I get a chicken to lay vegan eggs? ChatGPT: Unfortunately, it is not possible to get a chicken to lay vegan eggs as vegan eggs are made without the involvement of any animal or their by-products, including the chicken itself. Vegan eggs are …
*=Authors contributed equally Machine learning (ML) models can fail in unexpected ways in the real world, but not all model failures are equal. With finite time and resources, ML practitioners are forced to prioritize their model debugging and improvement efforts. Through interviews with 13 ML practitioners at Apple, we found that practitioners construct small targeted …
Read more “Angler: Helping Machine Translation Practitioners Prioritize Model Improvements”
The past three months have been transformative for the IBM Ecosystem. Our investment in the ecosystem is deeper than ever before, and momentum is accelerating across all partner types as they continue to scale and innovate. This demonstrates their commitment to clients, deep expertise and hunger to collaborate and co-create with us. Thanks to each …
Read more “5 takeaways from the early days of IBM Partner Plus”
Posted by Sergey Levine, Research Scientist, and Alexander Herzog, Staff Research Software Engineer, Google Research, Brain Team Reinforcement learning (RL) can enable robots to learn complex behaviors through trial-and-error interaction, getting better and better over time. Several of our prior works explored how RL can enable intricate robotic skills, such as robotic grasping, multi-task learning, …
Read more “Robotic deep RL at scale: Sorting waste and recyclables with a fleet of robots”
The seeds of a machine learning (ML) paradigm shift have existed for decades, but with the ready availability of scalable compute capacity, a massive proliferation of data, and the rapid advancement of ML technologies, customers across industries are transforming their businesses. Just recently, generative AI applications like ChatGPT have captured widespread attention and imagination. We …
Read more “Announcing New Tools for Building with Generative AI on AWS”
Whether you are performing image recognition, language processing, regression analysis, or other machine learning demonstrations, the importance of rapid prototyping and deployment remains of utmost importance. These computations tend to have steps with various CPU and GPU requirements. Google Cloud introduced Batch, which is a fully managed service that handles infrastructure lifecycle management, queuing, and …
Read more “Rapidly deploy PyTorch applications on Batch using TorchX”