CybAI news - - Page 2110

08 Aug

A Novel Hybrid Approach for Tornado Prediction in the United States: Kalman-Convolutional BiLSTM with Multi-Head Attention

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arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs. Source link lol

08 Aug

Intel shareholders accuse company of hiding problems about its in-house chips manufacturing business ahead of announced layoffs and poor earnings

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A Missouri-based pension fund is accusing Intel, in a class action lawsuit, of hiding problems about its in-house chips manufacturing business ahead of the company's reported net loss and mass layoff of 15,000 jobs.Intel on August 1 announced a 15% reduction of its workforce after reporting a net loss of $1.6 billion for the second quarter.The Silicon Valley company, which once led the chips industry, has struggled to catch up with its rivals, mainly Nvidia, a longtime competitor that now has a stranglehold on the GPU business amid the AI race.A lawsuit filed in a San Francisco federal court on…

08 Aug

Evaluation of Segment Anything Model 2: The Role of SAM2 in the Underwater Environment

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arXiv:2408.02924v1 Announce Type: new Abstract: With breakthroughs in large-scale modeling, the Segment Anything Model (SAM) and its extensions have been attempted for applications in various underwater visualization tasks in marine sciences, and have had a significant impact on the academic community. Recently, Meta has further developed the Segment Anything Model 2 (SAM2), which significantly improves running speed and segmentation accuracy compared to its predecessor. This report aims to explore the potential of SAM2 in marine science by evaluating it on the underwater instance segmentation benchmark datasets UIIS and USIS10K. The experiments show that the performance of SAM2 is extremely dependent…

08 Aug

Lisbon Computational Linguists at SemEval-2024 Task 2: Using A Mistral 7B Model and Data Augmentation

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[Submitted on 6 Aug 2024] View a PDF of the paper titled Lisbon Computational Linguists at SemEval-2024 Task 2: Using A Mistral 7B Model and Data Augmentation, by Artur Guimar~aes and 1 other authors View PDF HTML (experimental) Abstract:This paper describes our approach to the SemEval-2024 safe biomedical Natural Language Inference for Clinical Trials (NLI4CT) task, which concerns classifying statements about Clinical Trial Reports (CTRs). We explored the capabilities of Mistral-7B, a generalist open-source Large Language Model (LLM). We developed a prompt for the NLI4CT task, and fine-tuned a quantized version of the model using an augmented version of the…

08 Aug

PaleoScan is a cheap imaging device democratizing fossil research

stp2y0 CommentsNewsbrazil, fossil, gear, news, nyu, research, tomorrow

An innovative scanner created by an NYU computer scientist is allowing scientists to digitize previously isolated fossils in remote South American regions. Claudio Silva’s PaleoScan provides a portable and affordable way to preserve and share collections of ancient impressions that may have otherwise been lost or smuggled.Brazil’s Araripe Basin is lush with ancient fossils, some in unusually pristine condition. After a visit to the nearby Plácido Cidade Nuvens Museum of Paleontology (MPPCN), where many of them are stored, Silva saw “a labyrinth of floor-to-ceiling metal shelving units” that was “stacked high with piles of the most beautiful fossils he’d ever…

08 Aug

Machine Learning with PyTorch

stp2y0 CommentsNewscoding, community, development, engineering, inclusive, software

Introduction: Machine learning is a rapidly growing field that has revolutionized various industries and has become an essential tool for data analysis and prediction. PyTorch is an open-source machine learning library based on the Torch library, which is primarily used for deep learning applications. It provides a flexible and efficient platform for building and training neural networks. In this article, we will discuss the advantages and disadvantages of using PyTorch for machine learning. Advantages: Easy to Use: PyTorch provides an intuitive and straightforward interface, making it easy for developers to learn and use. Its syntax is similar to Python, which…

08 Aug

Is AI a bubble? – podcast

stp2y0 CommentsChat-GPTArtificial intelligence (AI), silicon valley, Technology

“Even if the AI boom turns out to be an AI bubble, the LLMs aren’t going anywhere,” the Guardian’s UK technology editor, Alex Hern, tells Michael Safi. “Whether or not OpenAI goes bust, whether or not Google and Microsoft’s valuations plummet back to the ground, there is this technology that was created. They may go bust, but that doesn’t mean we’re back to the world we were in in 2020, for good and for ill.” Alex explains the numerous hurdles AI companies have faced in recent months, from the financial concerns to hardware shortages, from software limits to legal challenges.…

08 Aug

Democratic VP pick Tim Walz, a retired Guard officer and longtime VA advocate, brings ‘incredibly important’ expertise on defense and veteran issues to Harris campaign

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A retired Army National Guard noncommissioned officer who was once the top Democrat on the House Veterans Affairs Committee could become the next vice president.Presumptive Democratic presidential nominee Vice President Kamala Harris announced Tuesday that Minnesota Gov. Tim Walz will be her running mate.That puts someone with an enlisted background on both presidential tickets after Republican nominee former President Donald Trump chose Marine veteran Sen. JD Vance of Ohio as his running mate.Patrick Murphy, an Army veteran who was Walz's roommate when they were both freshmen in Congress, called Walz a "soldier's soldier.""The two largest federal agencies are DoD and…

08 Aug

Rakuten Likely to Report Narrower Loss as Bond Redemptions Loom

stp2y0 CommentsRAG modelsAKIO, Banking, Bonds, Debt, fintech, Markets, Mickey Mikitani, RAKUTEN BANK LTD, RAKUTEN GROUP INC, regulation, shopping, Technology

Rakuten Group Inc. looks set to report on Friday a narrower loss in the April-June quarter, which would shore up confidence in its ability to pay bonds due through next year.The focus is on billionaire founder Hiroshi Mikitani’s efforts to turn around his four-year-long foray into the saturated mobile market without a single profitable quarter. Investors are also seeking clarity on the Japanese online shopping mall operator’s delayed plan to combine its profit-churning financial arms. Source link lol

08 Aug

MDM: Advancing Multi-Domain Distribution Matching for Automatic Modulation Recognition Dataset Synthesis

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arXiv:2408.02714v1 Announce Type: new Abstract: Recently, deep learning technology has been successfully introduced into Automatic Modulation Recognition (AMR) tasks. However, the success of deep learning is all attributed to the training on large-scale datasets. Such a large amount of data brings huge pressure on storage, transmission and model training. In order to solve the problem of large amount of data, some researchers put forward the method of data distillation, which aims to compress large training data into smaller synthetic datasets to maintain its performance. While numerous data distillation techniques have been developed within the realm of image processing, the unique…