AI

DXC transforms data exploration for their oil and gas customers with LLM-powered tools | Amazon Web Services

DXC transforms data exploration for their oil and gas customers with LLM-powered tools | Amazon Web Services

This post is co-written with Kaustubh Kambli from DXC Technology. DXC Technology is an IT services leader with more than 130,000 employees supporting 6,000 customers in over 70 countries. DXC builds offerings across industry verticals to deliver accelerated value to their customers. One of the sectors DXC has deep expertise in is energy. The oil and gas industry relies on discovering new drilling sites to drive growth. Data-driven insights can accelerate the process of identifying potential locations and improve decision-making. For the largest companies in the sector, shaving even a single day off the time to first oil can impact…
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Automate cloud security vulnerability assessment and alerting using Amazon Bedrock | Amazon Web Services

Automate cloud security vulnerability assessment and alerting using Amazon Bedrock | Amazon Web Services

Cloud technologies are progressing at a rapid pace. Businesses are adopting new innovations and technologies to create cutting-edge solutions for their customers. However, security is a big risk when adopting the latest technologies. Enterprises often rely on reactive security monitoring and notification techniques, but those techniques might not be sufficient to safeguard your enterprises from vulnerable assets and third-party attacks. You need to establish proper security guardrails in the cloud environment and create a proactive monitoring practice to strengthen your cloud security posture and maintain required compliance standards. To address this challenge, this post demonstrates a proactive approach for security…
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Nomi AI: Your AI Companion that Remembers Everything About You

Nomi AI: Your AI Companion that Remembers Everything About You

Just a heads up, if you buy something through our links, we may get a small share of the sale. It’s one of the ways we keep the lights on here. Click here for more. Ever wished your phone could actually understand you? Not just set reminders or play music, but really get who you are? That’s exactly what Nomi AI, a growing tech company, is trying to do. They’re building AI companions – think super-smart chatbots that can remember everything about you and actually cares about your day. Unlike ChatGPT, which helps with homework and answers questions, Nomi AI…
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Build cost-effective RAG applications with Binary Embeddings in Amazon Titan Text Embeddings V2, Amazon OpenSearch Serverless, and Amazon Bedrock Knowledge Bases | Amazon Web Services

Build cost-effective RAG applications with Binary Embeddings in Amazon Titan Text Embeddings V2, Amazon OpenSearch Serverless, and Amazon Bedrock Knowledge Bases | Amazon Web Services

Today, we are happy to announce the availability of Binary Embeddings for Amazon Titan Text Embeddings V2 in Amazon Bedrock Knowledge Bases and Amazon OpenSearch Serverless. With support for binary embedding in Amazon Bedrock and a binary vector store in OpenSearch Serverless, you can use binary embeddings and binary vector store to build Retrieval Augmented Generation (RAG) applications in Amazon Bedrock Knowledge Bases, reducing memory usage and overall costs. Amazon Bedrock is a fully managed service that provides a single API to access and use various high-performing foundation models (FMs) from leading AI companies. Amazon Bedrock also offers a broad…
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Why the US Government Banned Investments in Some Chinese AI Startups

Why the US Government Banned Investments in Some Chinese AI Startups

The more certain short-term impact is that US investors who are still interested in Chinese AI startups will have to do a whole lot more due diligence. The Treasury Department is not setting up a new government committee like CFIUS that will review every transaction investors submit, and is instead asking them to do their own homework and report whether they believe a Chinese AI company would be covered.Under the new rules, even if a Chinese startup’s AI model is smaller than the 1025-flops size threshold, a US investor might still have the responsibility to notify the Treasury Department about…
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Making AI See Better

Making AI See Better

Building AI systems that can understand images has traditionally required massive computing power, especially when dealing with high-resolution photos. One of the top papers on AImodels.fyi right now introduces Vision Mamba (Vim…. no, not that Vim), a new way to process visual information that matches the quality of current methods while using significantly less computing resources. The researchers demonstrate that their approach is 2.8 times faster and uses 86.8% less memory than existing methods when analyzing large images. Let’s see how it works and how they were able to get these gains. Read more Source link lol
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