Over the last 18 months, AWS has announced more than twice as many machine learning (ML) and generative artificial intelligence (AI) features into general availability than the other major cloud providers combined. This accelerated innovation is enabling organizations of all sizes, from disruptive AI startups like Hugging Face, AI21 Labs, and Articul8 AI to industry …
Google Cloud Storage is at the core of many customers’ cloud deployment because of its simplicity, affordability and near-infinite scale. But managing millions or billions of objects across numerous projects and with hundreds of developers can be complex, often requiring a team of analysts manually analyzing data for insights. Earlier this year, we introduced the …
Read more “Understand your Cloud Storage footprint with AI-powered queries and insights”
Nvidia has released NVLM 1.0, a powerful open-source AI model that rivals GPT-4 and Google’s systems, marking a major breakthrough in multimodal language models for vision and text tasks.Read More
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Miniature robots on the millimeter scale often lack the strength to transport instruments for endoscopic microsurgery through the body. Scientists are now combining several millimeter-sized TrainBots into one unit and equipping them with improved ‘feet’. For the first time, the team was able to perform an electric surgical procedure on a bile duct obstruction experimentally …
Read more “Stronger together: miniature robots in convoy for endoscopic surgery”
Imaging microscopic samples requires capturing multiple, sequential measurements, then using computational algorithms to reconstruct a single, high-resolution image. This process can work well when the sample is static, but if it’s moving—as is common with live, biological specimens—the final image may be blurry or distorted.
See how Gitlab’s Ashley Kramer’s top-down approach to AI implementation has made it possible to embrace the AI future.
Machine learning (ML) and artificial intelligence (AI) systems rely heavily on human-annotated data for training and evaluation. A major challenge in this context is the occurrence of annotation errors, as their effects can degrade model performance. This paper presents a predictive error model trained to detect potential errors in search relevance annotation tasks for three …
Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Mistral AI, Stability AI, and Amazon through a single API, along with a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI. Common …
Read more “Import a question answering fine-tuned model into Amazon Bedrock as a custom model”
Gov. Gavin Newsom’s veto of SB 1047 has been hailed by some industry veterans as good for open source innovation.Read More