Researchers give robots a sense of touch by ‘listening’ to vibrations, allowing them to identify materials, understand shapes and recognize objects just like human hands. The ability to interpret the world through acoustic vibrations emanating from an object — like shaking a cup to see how much soda is left or tapping on a desk …
Read more “Listening skills bring human-like touch to robots”
Nearly 200 years after Beethoven’s death, a team of musicians and computer scientists created a generative artificial intelligence (AI) that completed his Tenth Symphony so convincingly that music scholars could not differentiate the music originating from the AI or from the composer’s handwritten notes.
To stay competitive, businesses across industries use foundation models (FMs) to transform their applications. Although FMs offer impressive out-of-the-box capabilities, achieving a true competitive edge often requires deep model customization through pre-training or fine-tuning. However, these approaches demand advanced AI expertise, high performance compute, fast storage access and can be prohibitively expensive for many organizations. …
Read more “Generative AI foundation model training on Amazon SageMaker”
At Google Cloud, we’ve taken an open approach in building our Vertex AI platform — to provide the most powerful AI tools available along with unparalleled choice and flexibility. That’s why Vertex AI delivers access to over 160 models — including first-party, open-source, and third-party models — so you can build solutions specifically tailored to …
Read more “Announcing Anthropic’s upgraded Claude 3.5 Sonnet on Vertex AI”
Cohere enhances its embeddings model Embed 3 to now be multimodal, letting enterprises search images on their databases.Read More
For robots, simulation is a great teacher for learning long-horizon (multi-step) tasks—especially compared to how long it takes to collect real-world training data.
This beginner’s guide, including examples and step-by-step instructions, teaches you how to use Zapier to automate repetitive tasks between your favorite apps.
The growing demand for personalized and private on-device applications highlights the importance of source-free unsupervised domain adaptation (SFDA) methods, especially for time-series data, where individual differences produce large domain shifts. As sensor-embedded mobile devices become ubiquitous, optimizing SFDA methods for parameter utilization and data-sample efficiency in time-series contexts becomes crucial. Personalization in time series is …
Read more “Efficient Source-Free Time-Series Adaptation via Parameter Subspace Disentanglement”
From Prototype to Production (Engineering Responsible AI, #3) Testing and Evaluating AI Systems with AIP Evals Editor’s Note: This is the third post in a series on responsible AI. Proof Over Promises: The Challenge of Making AI Work While it’s relatively easy to create a prototype AI system using Generative AI, addressing your organization’s most pressing challenges with …
Today, we’re pleased to announce the general availability (GA) of Amazon Bedrock Custom Model Import. This feature empowers customers to import and use their customized models alongside existing foundation models (FMs) through a single, unified API. Whether leveraging fine-tuned models like Meta Llama, Mistral Mixtral, and IBM Granite, or developing proprietary models based on popular …
Read more “Amazon Bedrock Custom Model Import now generally available”