AI found to boost individual creativity — at the expense of less varied content

AI found to boost individual creativity — at the expense of less varied content

Stories written with AI assistance have been deemed to be more creative, better written and more enjoyable. A new study published in the journal Science Advances finds that AI enhances creativity by boosting the novelty of story ideas as well as the 'usefulness' of stories -- their ability to engage the target audience and potential for publication. It finds that AI "professionalizes" stories, making them more enjoyable, more likely to have plot twists, better written and less boring. In a study in which 300 participants were tasked with writing a short, eight-sentence 'micro story' for a target audience of young…
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Can Modern Data Centers Keep up With the Exponential Growth of AI?

Can Modern Data Centers Keep up With the Exponential Growth of AI?

Artificial intelligence's exponential growth has stirred controversy and concern among data center professionals. How will facilities accommodate the fast-approaching high-density kilowatt requirements AI requires? As conventional solutions become less feasible, they must find a viable – and affordable – alternative.  Data Centers Are Facing the Consequences of AI Demand  AI's adoption rate is steadily climbing across numerous industries. It increased to about 72% in 2024, up from 55% the previous year. Most metrics suggest widespread implementation isn't a fleeting trend, indicating modern data centers will soon need to retrofit to keep up with its exponential growth.  The recent surge in AI…
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Open Source C++ Stack

Open Source C++ Stack

C++ is often labeled as "unsafe" and "complex," but I find these critiques unjustified. My experience working on major projects like Chromium, Node, and gRPC — each a non-trivial codebase deployed on millions of devices, both virtual and physical, and subject to rigorous scrutiny—has shown me the true power and reliability of C++. Let's not forget the remarkable engineering feats made possible by C++, such as Unreal Engine. Even Linux and Git, both written in C (arguably even less "safe" than C++), stand as testaments to the robust potential of these languages. There is a trick to writing C++ code…
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Accelerate your generative AI distributed training workloads with the NVIDIA NeMo Framework on Amazon EKS | Amazon Web Services

Accelerate your generative AI distributed training workloads with the NVIDIA NeMo Framework on Amazon EKS | Amazon Web Services

In today’s rapidly evolving landscape of artificial intelligence (AI), training large language models (LLMs) poses significant challenges. These models often require enormous computational resources and sophisticated infrastructure to handle the vast amounts of data and complex algorithms involved. Without a structured framework, the process can become prohibitively time-consuming, costly, and complex. Enterprises struggle with managing distributed training workloads, efficient resource utilization, and model accuracy and performance. This is where the NVIDIA NeMo Framework comes into play. In this post, we present a step-by-step guide to run distributed training workloads on an Amazon Elastic Kubernetes Service (Amazon EKS) cluster. NVIDIA NeMo…
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A Mathematical Framework, a Taxonomy of Modeling Paradigms, and a Suite of Learning Techniques for Neural-Symbolic Systems

A Mathematical Framework, a Taxonomy of Modeling Paradigms, and a Suite of Learning Techniques for Neural-Symbolic Systems

arXiv:2407.09693v1 Announce Type: new Abstract: The field of Neural-Symbolic (NeSy) systems is growing rapidly. Proposed approaches show great promise in achieving symbiotic unions of neural and symbolic methods. However, each NeSy system differs in fundamental ways. There is a pressing need for a unifying theory to illuminate the commonalities and differences in approaches and enable further progress. In this paper, we introduce Neural-Symbolic Energy-Based Models (NeSy-EBMs), a unifying mathematical framework for discriminative and generative modeling with probabilistic and non-probabilistic NeSy approaches. We utilize NeSy-EBMs to develop a taxonomy of modeling paradigms focusing on a system's neural-symbolic interface and reasoning capabilities.…
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3DGS.zip: A survey on 3D Gaussian Splatting Compression Methods

3DGS.zip: A survey on 3D Gaussian Splatting Compression Methods

[Submitted on 17 Jun 2024] View a PDF of the paper titled 3DGS.zip: A survey on 3D Gaussian Splatting Compression Methods, by Milena T. Bagdasarian and 3 other authors View PDF HTML (experimental) Abstract:We present a work-in-progress survey on 3D Gaussian Splatting compression methods, focusing on their statistical performance across various benchmarks. This survey aims to facilitate comparability by summarizing key statistics of different compression approaches in a tabulated format. The datasets evaluated include TanksAndTemples, MipNeRF360, DeepBlending, and SyntheticNeRF. For each method, we report the Peak Signal-to-Noise Ratio (PSNR), Structural Similarity Index (SSIM), Learned Perceptual Image Patch Similarity (LPIPS), and…
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Registering to vote is unnecessarily complicated. Here’s 1 simple solution:

Registering to vote is unnecessarily complicated. Here’s 1 simple solution:

This new automatic voter registration (AVR) system can enhance voting accuracy, reduce fraud, and give more people access to democracy. Here’s how it works.  If the unregistered eligible voter population in California was its own state, it would be the 25th largest state in the country. Compare this to Oregon, where 93.5% of eligible voters are registered, thanks to a new automatic voter registration program called Secure AVR.  The process is simple – when attending appointments at places like the DMV, eligible citizens are automatically registered. If uninterested, users can choose to opt out, but otherwise, registration takes no effort.…
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JD Vance’s history shows how he splits from Republicans on some key issues

JD Vance’s history shows how he splits from Republicans on some key issues

JD Vance is now a vice presidential candidate — but he might not entirely align with the former president's policies, especially when it comes to Corporate America.On Monday, former President Donald Trump selected the Republican senator from Ohio to serve as his running mate. While Vance was among a list of contenders for the past few months, this pick would have been a surprise in 2016 when Vance referred to Trump as "America's Hitler" and "a total fraud."However, when Vance took office in January 2023, his rhetoric shifted to supporting Trump — but some of his actions as a senator…
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Large Language Models for Integrating Social Determinant of Health Data: A Case Study on Heart Failure 30-Day Readmission Prediction

Large Language Models for Integrating Social Determinant of Health Data: A Case Study on Heart Failure 30-Day Readmission Prediction

arXiv:2407.09688v1 Announce Type: new Abstract: Social determinants of health (SDOH) $-$ the myriad of circumstances in which people live, grow, and age $-$ play an important role in health outcomes. However, existing outcome prediction models often only use proxies of SDOH as features. Recent open data initiatives present an opportunity to construct a more comprehensive view of SDOH, but manually integrating the most relevant data for individual patients becomes increasingly challenging as the volume and diversity of public SDOH data grows. Large language models (LLMs) have shown promise at automatically annotating structured data. Here, we conduct an end-to-end case study…
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