He fled Syria's war as a teenager. He went back to help launch a tech industry - NPR
<a href="https://news.google.com/rss/articles/CBMieEFVX3lxTE9XOUJWVUFLamR2Qm04VUcyT0g5TVNCS21TWmwyX3M1RWkxOTgzVEp3d0xQcTlpU2hoem1EU3A2SkxBVUtaUV91NF8wVkFqS0podVZwTHJDUmZoQzNWcU42dHBnazBrZHRHd2ZSVzZkMWZ0SE1hWkR6WQ?oc=5" target="_blank">He fled Syria's war as a teenager. He went back to help launch a tech industry</a> <font color="#6f6f6f">NPR</font>
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<p><strong>Beauty content types engagement rates in 2026 follow a clear hierarchy: transformation content generates 2.3x higher completion rates than tutorial formats across short-form platforms, signaling a structural shift in how audiences consume and act on beauty media.</strong></p> <blockquote> <p><strong>Key Takeaway:</strong> According to beauty content types engagement rates 2026 report data, transformation content outperforms tutorials by 2.3x in completion rates on short-form platforms, making it the dominant format as viewer psychology and algorithm design increasingly favor outcome-driven over instructional beauty media.</p> </blockquote> <p>That number is not a rounding error. It reflects a fundamental change in viewer psychology, platform algorithm design, and the economics o
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MongoDB is excited to announce the public preview of search and vector search capabilities for use with MongoDB Community Edition and MongoDB Enterprise Server. These new capabilities empower developers to prototype, iterate, and build sophisticated, AI-powered applications directly in self-managed environments with robust search functionality. This post is also available in: Deutsch , Français , Español , Português , Italiano , 한국어 , 简体中文 . Versatility is one of the reasons why developers love MongoDB. MongoDB can run anywhere. 1 This includes local setups where many developers kickstart their MongoDB journey, to the largest enterprise data centers when it is time to scale, and MongoDB’s fully managed cloud service, MongoDB Atlas . Regardless of where development takes place, MongoDB effo
Wir feiern Spitzenleistungen: MongoDB Global Partner Awards 2025
In einer Welt, die von künstlicher Intelligenz und schnellem technologischem Wandel geprägt ist, ist eines klar: Unsere Partner gestalten die Zukunft mit MongoDB. Gemeinsam helfen wir Kunden, Legacy-Systeme zu modernisieren, Herausforderungen von Sicherheits- bis hin zu Budgetbeschränkungen zu lösen und die nächste Welle von KI-gestützten Anwendungen zu entwickeln. Deshalb sind wir stolz darauf, die jährlichen MongoDB Global Partner Awards anzukündigen, mit denen Partner ausgezeichnet werden, die im Jahr 2025 führend waren. Von bahnbrechender KI und Modernisierung über die Förderung von Innovationen im öffentlichen Sektor bis hin zum Aufbau mutiger Go-to-Market-Kooperationen setzen diese Partner den Maßstab für Exzellenz. Ihre Führungsqualitäten bewegen nicht nur etwas – sie definieren auc
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Why China is always misunderstood and misrepresented
Why didn’t China develop its own scientific and industrial revolutions when it made so many discoveries and advances over millennia? That is often called “Needham’s question”, named after the historian of Chinese science and tech Joseph Needham. Why didn’t China develop capitalism during the Song dynasty when it was so close to achieving a breakthrough with trade, commerce, currency and semi-industrialisation, and an emerging merchant class? The Hungarian-French sinologist Etienne Balazs, among...
Better Identity Coalition partners on gen-AI fraud threat mitigation guidance - Biometric Update
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trunk/4f31ea9cbf475de570b22603e7e6e173666ec5f2: allow torchcomms operations in flight recorder (#178359)
<p>Summary:<br> Extend the flight recorder's recognized collective operations to include additional torchcomms ops (e.g. all_gather_single, reduce_scatter_v, barrier, split) that were previously untracked, enabling distributed communication tracing for torchcomms.</p> <hr> <p>Stack created with <a href="https://sapling-scm.com" rel="nofollow">Sapling</a>. Best reviewed with <a href="https://reviewstack.dev/pytorch/pytorch/pull/178359" rel="nofollow">ReviewStack</a>.</p> <ul> <li><strong>-></strong> <a class="issue-link js-issue-link" data-error-text="Failed to load title" data-id="4131757958" data-permission-text="Title is private" data-url="https://github.com/pytorch/pytorch/issues/178359" data-hovercard-type="pull_request" data-hovercard-url="/pytorch/pytorch/pull/178359/hovercard" href=
trunk/51a4e6d47687f48ff099b93423ec29d2e4e97deb: Update min CUDA version one can build pytorch with to 12.1 (#178925)
<p>A lot of this cleanup is doable anyway cuz our min version support was 12.0 before. BUT THE MAIN CHANGE I WANT TO MAKE IS up the minimum version to 12.1 so that we could increase the kernel arg limits for our foreach (MultiTensorApply) ops from 4kb to 32kb.</p> <p>Basically for this change: <a class="issue-link js-issue-link" data-error-text="Failed to load title" data-id="4155646102" data-permission-text="Title is private" data-url="https://github.com/pytorch/pytorch/issues/178641" data-hovercard-type="pull_request" data-hovercard-url="/pytorch/pytorch/pull/178641/hovercard" href="https://github.com/pytorch/pytorch/pull/178641">#178641</a> which would be baller to have in terms of performance!</p> <p>Pull Request resolved: <a class="issue-link js-issue-link" data-error-text="Failed to
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