Author: Admin

Support CleanTechnica’s work through a Substack subscription, on Patreon, or on Stripe. Help us produce all of the high-quality, original content we publish week after week despite the challenges of content-scraping AI, antisocial media, inflation, and other hurdles. By Ray Wills and Peter Newman CleanTechnica allows comments, and there are always great comments by readers, as well as the obligatory smattering of naysaying trolls. We thought we might collate and comment on the good stuff that came in on our article “China’s Electric Truck Moment Has Arrived — And It’s About To Hit Global Diesel Demand.” If the electric car…

I usually program in Android Studio, but for my first KMP project, I installed macOS in Docker in the docurr/macos project, copied my project to the macOS Documents folder, and developed it in Xcode. It’s a simple project (app.mercury) that opens a specified website using WebView. This is a link to the project repositoryThen I tried to build my project in Xcode, and I got the error: Failed to build cache for /Users/panfstas/.gradle/caches/modules-2/files-2.1/org.jetbrains.compose.ui/ui-uikitx64/1.7.3/88a91f9a95d1f2922311c28d558b3f805424d289/ui.klib. This is the build log as an attachment because it is very longThe log after the error above contains the following line: “Details: Internal error in body…

AWS (Amazon Web Services) has detailed a reference architecture combining NB-IoT and LoRaWAN ingestion with dual-path IoT telemetry processing.In a blog post, AWS lays out a pattern for handling telemetry from device fleets that could number in the millions, splitting incoming data into two lanes: one built for instant anomaly detection, the other for historical batch analysis.Two sample dashboards illustrate the pattern in the documentation, a solar farm monitor and a smart building query tool. Both are labelled as samples, not case studies from named customers, and that distinction matters for any engineering team deciding whether the design is ready…

Samsung just unveiled new models of its foldable phones at the Samsung Galaxy Unpacked event, and the price tags are doing their own flex. The Galaxy Z Flip 8, Z Fold 8 and Z Fold 8 Ultra will be available on Aug. 7. Prices start at a whopping $1,200 for the base model of the Flip 8, $100 more than the original price of the Galaxy Z Flip 7. The Z Fold 8 Ultra, which is new to Samsung’s lineup, starts at a jaw-dropping $2,100.  The Z Fold 8 does bring a bigger battery, camera upgrades and a Flex Window…

AMS Citation Lewis, G., Brower-Sinning, R., Derr, A., Ozkaya, I., and Echeverría, S., 2026: A Quality Model for Machine Learning Components. Software Engineering Institute blog, Accessed July 22, 2026, Copy APA Citation Lewis, G., Brower-Sinning, R., Derr, A., Ozkaya, I., & Echeverría, S. (2026, July 21). A Quality Model for Machine Learning Components. Retrieved July 22, 2026, from Copy Chicago Citation Lewis, Grace, Rachel Brower-Sinning, Alex Derr, Ipek Ozkaya, and Sebastián Echeverría. “A Quality Model for Machine Learning Components.” Software Engineering Institute blog. Carnegie Mellon’s Software Engineering Institute, July 21, 2026. Copy IEEE Citation G. Lewis, R. Brower-Sinning, A. Derr,…

Simulations reveal how disordered proteins cluster and form biomolecular condensates Chain of amino acids (Courtesy: iStock/Christoph Burgstedt) Intrinsically disordered proteins (IDPs) do not form stable 3D structures. Instead, they remain flexible, adopt many conformations, and can interact with multiple molecules. Although proteins were once thought to require a fixed structure to function, many IDPs play essential cellular roles. Some IDPs can assemble into biomolecular condensates, membrane-less compartments that help organise processes such as gene expression and stress responses. Many IDPs contain prion-like low complexity domains (PLCDs), which have defined sequence features known as molecular grammas. These IDPs are multivalent and…

Artificial Intelligence (AI) is becoming a standard capability across wealth management technology platforms. Advisor copilots, automated meeting preparation, document generation, portfolio insights, and conversational interfaces are increasingly appearing across provider offerings. in The more complex challenge for wealth management firms is identifying the provider and AI capability model best suited to their specific requirements. While some firms may prioritize cross-functional workflow orchestration, others may seek research intelligence, advisor productivity tools, or targeted automation within discrete processes.  To support this evaluation, Everest Group has published its Innovation Watch: Agentic AI in Wealth Management Technology. The research assesses how leading WealthTech providers are designing, deploying, and scaling AI capabilities across the wealth…

Featured Podcasts Training Data: Factory’s Matan Grinberg: The Coming ‘Dark Factory’ Where Software Builds Itself Sequoia Capital partners host conversations with leading AI builders and researchers to develop a deeper understanding of the evolving technologies and their implications. Subscribe to Training Data. Invest Like the Best: Matthew Smith — Natural Gas: The Next Bottleneck The leading destination to learn about business and investing. We do this by showcasing exceptional talent and ideas. Subscribe to Invest Like the Best. Lenny’s Podcast: Why Netflix is betting on systems thinkers—not specialists—in the AI era | Elizabeth Stone (CPTO) Interviews with world-class product leaders…

Alan Turing’s famous ideas about artificial intelligence may have sent AI research down the wrong path for the past 75 years, according to prominent computer scientist Peter J. Denning. In his new book, Turing’s Mistake: Escaping the Yoke of Unintelligent Machines, Denning argues that two foundational assumptions made by Turing in 1950 continue to shape AI research today. The first is that intelligence can exist independently of a physical body and therefore be recreated in computer software. The second is that a machine can demonstrate intelligence by successfully imitating a human in conversation, an idea that later became known as…

One of our favorite topics on Smart Data Collective is how companies use data to make better choices about customers, operations, products, and growth. It is easy to focus on cloud platforms and dashboards, but many data-driven businesses still rely on USB drives to store, move, and back up files used for analytics.Serhii Kholin, the CEO of ONIX, wrote on Medium that only 29% of companies use data strategically. Something that makes this important is that companies need reliable access to their data no matter where it is stored, including USB drives used for reports, exports, field records, and backups.…