May 25, 2024

Robotics

ABB robots help quartz plant cut cycle times by 80%

Listen to this article [embedded content] America Quartz Technology (AQT) specializes in the manufacturing and processing of formed quartz products for the electronics and semiconductor industries at its plant in Hue, Vietnam. The production of AQT’s products demands the highest level of meticulousness and accuracy. Challenges Previously, components were processed manually, with workers performing high temperature heating processes. This dangerous and repetitive work meant that staff turnover was high, with an increased risk of accidents.

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The modern CISO: Scapegoat or value creator?

Join us in returning to NYC on June 5th to collaborate with executive leaders in exploring comprehensive methods for auditing AI models regarding bias, performance, and ethical compliance across diverse organizations. Find out how you can attend here. 2024 is already shaping up to be one of the most stressful years yet for CISOs. They are trying to defend their organizations against a growing number of threats as they increase in speed and complexity, fueled

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Hardware

HWiNFO Notes Intel Battlemage, Celestial And Melville Sound In Recent Update

Popular hardware monitoring and detection application HWinFO’s latest release notes include a handful of very curious entries. As you’ll have already guessed from the headline, they’re the names of Intel’s upcoming graphics products: Battlemage, Celestial, and Melville Sound. The addition of these names to HWiNFO suggests that Intel’s next- and next-next-generation graphics products are entering a more concrete stage. Intel revealed the names of Battlemage, Celestial, and Druid to us along with the announcement that

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Can blockchain make weather forecasts better? WeatherXM thinks so

Accurate weather forecasts are critical to industries like agriculture, and they’re also important to help prevent and mitigate harm from inclement weather events or natural disasters. But getting forecasts right is extremely difficult. That’s why the founders of WeatherXM have been looking to make weather forecasts more accurate for the past 12 years. In 2012, Manolis Nikiforakis, Stratos Theodorou and Nikos Tsiligaridis launched an app that allowed community members to provide grassroots weather updates. They

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Synapse, backed by a16z, has collapsed, and 10 million consumers could be hurt | TechCrunch

Last year, the fintech startup world — star of the 2021 venture capital heydays — began to unravel as VC funding grew tight. As we step into mid-2024, large chunks of the sector today are a downright mess, especially the banking-as-a-service area which, ironically enough, experts last year told us was the bright spot.  The bankruptcy of banking-as-a-service (BaaS) fintech Synapse is, perhaps, the most dramatic thing going on now. Though certainly not the only

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AI

The Past, Present, and Future of Data Quality Management: Understanding Testing, Monitoring, and…

The data estate is evolving, and data quality management needs to evolve right along with it. Here are three common approaches and where the field is heading in the AI era. Barr Moses · Follow Published in Towards Data Science · 9 min read · 12 hours ago — Image by author. Are they different words for the same thing? Unique approaches to the same problem? Something else entirely? And more importantly — do you

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Robotics

Stanford researcher discusses UMI gripper and diffusion AI models – The Robot Report

Listen to this article The Robot Report recently spoke with Ph.D. student Cheng Chi about his research at Stanford University and recent publications about using diffusion AI models for robotics applications. He also discussed the recent universal manipulation interface, or UMI gripper, project, which demonstrates the capabilities of diffusion model robotics. The UMI gripper was part of his Ph.D. thesis work, and he has open-sourced the gripper design and all of the code so that

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AI

Interpretable Outlier Detection: Frequent Patterns Outlier Factor (FPOF)

An outlier detector method that supports categorical data and provides explanations for the outliers flagged W Brett Kennedy · Follow Published in Towards Data Science · 10 min read · 12 hours ago — Outlier detection is a common task in machine learning. Specifically, it’s a form of unsupervised machine learning: analyzing data where there are no labels. It’s the act of finding items in a dataset that are unusual relative to the others in

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AI

Real-Time Analytics Solution for Usage-Based API Billing and Metering

Design a real-time analytics pipeline for tracking API invocation usage with Apache APISIX, Redpanda, and Apache Pinot. Dunith Danushka · Follow Published in Towards Data Science · 11 min read · 1 day ago — Photo by Doris Morgan on Unsplash Disclaimer: The author of this article is a Developer Advocate at Redpanda, which is a critical component of the solution discussed. The author also…

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How to EMP-Proof a Building

2 min read Emily Waltz is the power and energy editor at IEEE Spectrum. Yilu Liu is one of the researchers at Oak Ridge National Laboratory studying how buildings (and their electrical circuits) can be protected from electromagnetic pulses. Stuart Bradford This year, the sun will reach solar maximum, a period of peak magnetic activity that occurs approximately once every 11 years. That means more sunspots and more frequent intense solar storms. Here on Earth,

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