Npix2Cpix: A GAN-based Image-to-Image Translation Network with Retrieval-Classification Integration for Watermark Retrieval from Historical Document Images

Npix2Cpix: A GAN-based Image-to-Image Translation Network with Retrieval-Classification Integration for Watermark Retrieval from Historical Document Images

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
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Measuring Retrieval Complexity in Question Answering Systems

Measuring Retrieval Complexity in Question Answering Systems

arXiv:2406.03592v1 Announce Type: new Abstract: In this paper, we investigate which questions are challenging for retrieval-based Question Answering (QA). We (i) propose retrieval complexity (RC), a novel metric conditioned on the completeness of retrieved documents, which measures the difficulty of answering questions, and (ii) propose an unsupervised pipeline to measure RC given an arbitrary retrieval system. Our proposed pipeline measures RC more accurately than alternative estimators, including LLMs, on six challenging QA benchmarks. Further investigation reveals that RC scores strongly correlate with both QA performance and expert judgment across five of the six studied benchmarks, indicating that RC is an…
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The race to cure a billion people from a deadly parasitic disease

The race to cure a billion people from a deadly parasitic disease

Impact Published 28 July 2022 Researchers accelerate their search of life-saving treatments for leishmaniasis“We were about to give up,” says Dr Benjamin Perry, a medicinal chemist at the Drugs for Neglected Diseases initiative (DNDi). When Perry joined the organization seven years ago, based in Geneva, Switzerland, his goal was to speed up the discovery of new treatments for two potentially fatal parasitic illnesses, Chagas disease and leishmaniasis. By and large, they achieved a lot of success. For one potential leishmaniasis drug in DNDi’s diverse portfolio, however, progress had slowed almost to a halt.“We couldn’t find ways of making changes that…
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PSA Mac app Bartender has been acquired silently by a company – gHacks Tech News

PSA Mac app Bartender has been acquired silently by a company – gHacks Tech News

The popular Mac app Bartender has changed hands. The app has been acquired silently by a company, which has raised some questions. Well, this isn't the first time an app has been sold by a developer without prior warning to users. It happened with Nova Launcher, Simple Mobile Tools, and Raivo OTP. Speaking of which, some users on Bitwarden's subreddit said that a recent update to Raivo OTP deleted all tokens in the app. Bartender Mac app acquired silently by new company Let's get back on topic. As Macrumors reports, some reddit users noticed a warning from MacUpdater (a tool…
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Some Tesla shareholders say diverting Nvidia chips is further proof that Elon Musk doesn’t deserve a multibillion-dollar pay package

Some Tesla shareholders say diverting Nvidia chips is further proof that Elon Musk doesn’t deserve a multibillion-dollar pay package

Several institutional shareholders of Tesla told Business Insider that Elon Musk's decision to redirect a shipment of valuable Nvidia chips away from the EV company is further proof the CEO doesn't deserve a multibillion-dollar pay package.In May, a group of eight Tesla shareholders wrote a letter urging other investors to vote against Musk's compensation package. The group is just one faction of a growing number of investors who said they plan to vote against the deal.This package, now roughly worth $46 billion, was struck down in January by Delaware Chancery Court Chancellor Kathaleen McCormick, who said that the process to…
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Dynamic and Adaptive Feature Generation with LLM

Dynamic and Adaptive Feature Generation with LLM

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
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Netskope Innovates SaaS Security with AI”

Netskope One platform raises the bar on security efficacy by enabling organizations to categorize data security risks across tens of thousands of apps faster and more granularly Netskope, a leader in Secure Access Service Edge (SASE), today announced groundbreaking SaaS security enhancements to Netskope One, its cloud-native platform that offers converged security and networking services to enable SASE and zero trust transformation. These new enhancements advance the platform’s already industry-leading Cloud Access Security Broker (CASB) module with additional features designed for the era of Generative AI (genAI) and SaaS collaboration. Netskope One natively integrates SSPM, inline, and API CASB functionalities together…
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British Startups Just Can’t Seem to Scale

British Startups Just Can’t Seem to Scale

This is part of a series on what 14 years of Tory rule have delivered for Britain’s economy, society and standing in the world. The challenges awaiting the next government are numerous. Britain takes a third of all the money flowing from venture capital investors into Europe and has done so almost consistently for the last 14 years. Its ecosystem has thrived independent of Conservative Party policies, thanks in part to its wealth of English speakers and world-class universities. Even Brexit failed to stop talented engineers from taking jobs at British tech firms, many of whom count around a third…
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VideoPhy: Evaluating Physical Commonsense for Video Generation

VideoPhy: Evaluating Physical Commonsense for Video Generation

arXiv:2406.03520v1 Announce Type: new Abstract: Recent advances in internet-scale video data pretraining have led to the development of text-to-video generative models that can create high-quality videos across a broad range of visual concepts and styles. Due to their ability to synthesize realistic motions and render complex objects, these generative models have the potential to become general-purpose simulators of the physical world. However, it is unclear how far we are from this goal with the existing text-to-video generative models. To this end, we present VideoPhy, a benchmark designed to assess whether the generated videos follow physical commonsense for real-world activities (e.g.…
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