Data Centers’ Doubling Power Demand Seen Stressing Energy Grids – EE Times

Data Centers’ Doubling Power Demand Seen Stressing Energy Grids – EE Times

//php echo do_shortcode('[responsivevoice_button voice="US English Male" buttontext="Listen to Post"]') ?> An expected doubling in power consumption by the world’s data centers during the next few years is expected to strain the capacity of electricity suppliers, according to experts who spoke with EE Times. Those power constraints, without improvements in data center efficiency, will potentially impede the expansion of AI. Electricity demand from data centers, AI and cryptocurrency miners will surge by 2026, the Paris-based International Energy Agency (IEA) said in a January report. After consuming an estimated 460 terawatt-hours (TWh) worldwide in 2022, data centers’ total energy intake could more…
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Create a multimodal assistant with advanced RAG and Amazon Bedrock | Amazon Web Services

Create a multimodal assistant with advanced RAG and Amazon Bedrock | Amazon Web Services

Retrieval Augmented Generation (RAG) models have emerged as a promising approach to enhance the capabilities of language models by incorporating external knowledge from large text corpora. However, despite their impressive performance in various natural language processing tasks, RAG models still face several limitations that need to be addressed. Naive RAG models face limitations such as missing content, reasoning mismatch, and challenges in handling multimodal data. Although they can retrieve relevant information, they may struggle to generate complete and coherent responses when required information is absent, leading to incomplete or inaccurate outputs. Additionally, even with relevant information retrieved, the models may…
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Newsrooms are experimenting with generative AI, warts and all

Newsrooms are experimenting with generative AI, warts and all

The journalism industry has been under immense economic pressure over the past two decades, so it makes sense that journalists have started experimenting with generative AI to boost their productivity. An Associated Press survey published in April 2024 asked journalists about the use of generative artificial intelligence in their work. Nearly 70% of those who responded said they had used these tools to generate text, whether it was composing article drafts, crafting headlines or writing social media posts. A May 2024 global survey conducted by the public relations firm Cision found the slice to be somewhat smaller – 47% of…
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Confluent’s expands managed Apache Flink service to simplify data streaming for generative AI – SiliconANGLE

Confluent’s expands managed Apache Flink service to simplify data streaming for generative AI – SiliconANGLE

Confluent Inc. today announced expanded capabilities for its managed service for Apache Flink, the open-source big data processing framework. Unlike the regular open-source Flink, it comes with a novel AI Model Inference feature that organizations can use to clean and process real-time streaming data for artificial intelligence and machine learning applications. In addition, the company announced an auto-scaling cluster type for use cases such as logging and telemetry data without time requirements. Founded in 2014, Confluent is the company that leads the development of Apache Kafka, the popular open-source big data streaming platform that enables companies to move information quickly from…
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GPT-5 Is Coming: Reading Between the Lines at Microsoft Build

GPT-5 Is Coming: Reading Between the Lines at Microsoft Build

Sponsored By: HubSpot Use AI as your personal assistant. Ready to embrace a new era of task delegation? HubSpot’s highly anticipated AI Task Delegation Playbook is your key to supercharging your productivity and saving precious time. Learn how to integrate AI technology into your processes, allowing you to optimize resource allocation and maximize output with precision and ease. Was this newsletter forwarded to you? Sign up to get it in your inbox.I’m a child of divorce, so I’m pretty good at reading between the lines. Divorced parents always say things about each other to you without actually saying them. Learning to interpret…
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Fast Stochastic Policy Gradient: Negative Momentum for Reinforcement Learning

Fast Stochastic Policy Gradient: Negative Momentum for Reinforcement Learning

arXiv:2405.12228v1 Announce Type: new Abstract: Stochastic optimization algorithms, particularly stochastic policy gradient (SPG), report significant success in reinforcement learning (RL). Nevertheless, up to now, that how to speedily acquire an optimal solution for RL is still a challenge. To tackle this issue, this work develops a fast SPG algorithm from the perspective of utilizing a momentum, coined SPG-NM. Specifically, in SPG-NM, a novel type of the negative momentum (NM) technique is applied into the classical SPG algorithm. Different from the existing NM techniques, we have adopted a few hyper-parameters in our SPG-NM algorithm. Moreover, the computational complexity is nearly same…
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YugabyteDB ♥️ Hashicorp Vault – Fun Times

YugabyteDB ♥️ Hashicorp Vault – Fun Times

I have been working with YugabyteDB for a while now. I am always experiment with yugbayte + (something). Today, its Vault. I have also worked on Vault for a bit and did a a lightening talk earlier this year. That talks was primarily around the data masking. But today, I was exploring the database secret engine. For the uninitiated, Vault provides you with ability to dynamically generate database credentials for your application. It does this by leveraging the simple RBAC SQLs provided by the database engine. It supports variety of databases including Postgres, and YugabyteDB by compatibility. What triggered this…
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AI Snake Oil is now available to preorder

AI Snake Oil is now available to preorder

We are happy to share that our book AI Snake Oil is now available to preorder across online booksellers. The publication date is September 24, 2024. If you have enjoyed reading our newsletter and would like to support our work, please preorder the book via Amazon, Bookshop, or your favorite bookseller. We get two recurring questions about the book: In an area as fast moving as AI, how long can a book stay relevant? How similar is the book to the newsletter?The answer to both questions is the same. We know that book publishing moves at a slower timescale than AI. So the…
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Teslas Can Still Be Stolen With a Cheap Radio Hack—Despite New Keyless Tech

Teslas Can Still Be Stolen With a Cheap Radio Hack—Despite New Keyless Tech

In 2020, Tesla even wrote in a filing to the US Federal Communications Commission that it would be implementing ultra-wideband in its keyless entry systems, and that the ability to far more precisely measure the distance of a key fob or smartphone from a car would—or at least could—prevent its vehicles from being stolen via relay attacks. “The distance estimate is based on a Time of Flight measurement, which is immune to relay attacks,” Tesla's filing read. That document, first turned up by the Verge, led to widespread reports and social media comments suggesting that the upcoming ultra-wideband version of…
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Focus on Low-Resolution Information: Multi-Granular Information-Lossless Model for Low-Resolution Human Pose Estimation

Focus on Low-Resolution Information: Multi-Granular Information-Lossless Model for Low-Resolution Human Pose Estimation

arXiv:2405.12247v1 Announce Type: new Abstract: In real-world applications of human pose estimation, low-resolution input images are frequently encountered when the performance of the image acquisition equipment is limited or the shooting distance is too far. However, existing state-of-the-art models for human pose estimation perform poorly on low-resolution images. One key reason is the presence of downsampling layers in these models, e.g., strided convolutions and pooling layers. It further reduces the already insufficient image information. Another key reason is that the body skeleton and human kinematic information are not fully utilized. In this work, we propose a Multi-Granular Information-Lossless (MGIL) model…
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