A bug was keeping Windows 10 PCs from enrolling in Microsoft's ESU program.

أصدرت شركة مايكروسوفت تحديثًا يهدف إلى إصلاح خطأ كان يمنع أجهزة الكمبيوتر التي تعمل بنظام ويندوز 10 والمستحقة من التسجيل في برنامج التحديثات الأمنية الممتدة (ESU). هذا التحديث مهم لأنه يسمح للمستخدمين بالوصول إلى تحديثات الأمان الأساسية، مما يضمن بقاء أنظمتهم محمية ضد الثغرات. إن حل هذه المشكلة أمر حاسم للحفاظ على سلامة وأمان أجهزة ويندوز 10، خاصةً بالنسبة للمنظمات التي تعتمد على هذه التحديثات لحماية عملياتها.

Microsoft ha lanzado una actualización destinada a corregir un error que impedía que las PC con Windows 10 elegibles se inscribieran en su programa de Actualizaciones de Seguridad Extendidas (ESU). Esta actualización es significativa ya que permite a los usuarios acceder a actualizaciones de seguridad esenciales, asegurando que sus sistemas permanezcan protegidos contra vulnerabilidades. La resolución de este problema es crucial para mantener la integridad y seguridad de los dispositivos con Windows 10, especialmente para las organizaciones que dependen de estas actualizaciones para salvaguardar sus operaciones.

Microsoft a publié une mise à jour visant à corriger un bogue qui empêchait les PC Windows 10 éligibles de s'inscrire à son programme de mises à jour de sécurité étendues (ESU). Cette mise à jour est importante car elle permet aux utilisateurs d'accéder à des mises à jour de sécurité essentielles, garantissant ainsi que leurs systèmes restent protégés contre les vulnérabilités. La résolution de ce problème est cruciale pour maintenir l'intégrité et la sécurité des appareils Windows 10, en particulier pour les organisations qui comptent sur ces mises à jour pour protéger leurs opérations.

Microsoft has released an update aimed at fixing a bug that prevented eligible Windows 10 PCs from enrolling in its Extended Security Updates (ESU) program. This update is significant as it allows users to access essential security updates, ensuring their systems remain protected against vulnerabilities. The resolution of this issue is crucial for maintaining the integrity and security of Windows 10 devices, particularly for organizations relying on these updates to safeguard their operations.

Microsoft releases update-fixing update for update-eligible Windows 10 PCs

Here's everything you need to know about the latest smart ring by Oura, based on a wearable expert's real-world usage.

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Samsung's QN90F QLED delivers great streaming and gaming performance, making it a strong holiday value.

Why I recommend this Samsung QLED TV over pricier OLED models in 2025 - and don't regret it

<h1>
 
 
 AI Amnesia: Erasing Knowledge Without a Trace
</h1>

Imagine your AI model accidentally learned something it shouldn't have – sensitive customer data, for example. Current methods for deleting this information often require retraining the entire model, an expensive and time-consuming process. What if we could surgically remove that knowledge without starting from scratch?

The key lies in a novel approach: creating artificial "forgetting cues." We're teaching the model to unlearn specific data patterns by exposing it to carefully crafted synthetic examples. These examples are designed to strongly contradict the information we want the model to forget, effectively overwriting the problematic associations in its memory. This works even if you don’t have access to the original data you need to erase.

Think of it like this: you're trying to forget a bad song stuck in your head. Instead of trying to actively suppress it (which rarely works), you blast an even more catchy song. The new song overwrites the old one, effectively erasing it from your mental playlist.

Benefits of Selective Forgetting:

<ul>
<li> Enhanced Data Privacy: Remove sensitive data without compromising the overall model's performance.</li>
<li> Reduced Retraining Costs: Avoid full model retraining, saving significant time and resources.</li>
<li> Improved Model Security: Eliminate vulnerabilities introduced by unintentionally learned patterns.</li>
<li> Adaptable Learning: Enables continuous refinement of AI models based on evolving data landscapes.</li>
<li> Compliance Ready: Supports compliance with data privacy regulations like GDPR.</li>
<li> Scalable Solutions: Works efficiently even with limited access to training data.</li>
</ul>

Practical Tip: One challenge is ensuring the synthetic data accurately targets the information you want to remove without negatively impacting the model's ability to generalize. Rigorous testing and validation with holdout datasets are crucial.

The promise of AI that can truly 'forget' opens exciting possibilities for responsible AI development. By enabling precise data deletion, we pave the way for more secure, compliant, and adaptable machine learning systems. Imagine AI models that can adapt to changing ethical guidelines or quickly unlearn incorrect information, all without massive retraining efforts. This is a crucial step towards trustworthy and responsible AI that respects data privacy and aligns with societal values. Future exploration could include extending this to different data modalities and model architectures.

Related Keywords: machine unlearning, data privacy, few-shot learning, zero-shot learning, synthetic data, model editing, catastrophic forgetting, incremental learning, continual learning, deep learning, neural networks, data security, algorithmic fairness, responsible ai, ethical ai, federated unlearning, privacy-preserving ai, model retraining, AI governance, data deletion, GDPR compliance

يتناول المقال نهجًا جديدًا لمعالجة مشكلة نسيان الذكاء الاصطناعي، حيث قد تحتفظ نماذج الذكاء الاصطناعي عن غير قصد بمعلومات حساسة. تتطلب الطرق التقليدية لحذف هذه البيانات غالبًا إعادة تدريب كاملة للنموذج، وهو ما يعد مكلفًا ويستغرق وقتًا. تتضمن التقنية الجديدة إنشاء 'إشارات نسيان' اصطناعية تساعد النموذج على نسيان أنماط بيانات معينة من خلال تعريضه لأمثلة صناعية تتناقض مع المعلومات غير المرغوب فيها، مما يسمح بإزالة المعرفة المستهدفة دون الحاجة للوصول إلى البيانات الأصلية.

El artículo aborda un nuevo enfoque para tratar el problema de la amnesia de la IA, donde los modelos de IA pueden retener inadvertidamente información sensible. Los métodos tradicionales para eliminar estos datos a menudo requieren un reentrenamiento completo del modelo, lo que es costoso y lleva tiempo. La nueva técnica implica crear 'señales de olvido' artificiales que ayudan al modelo a desaprender patrones de datos específicos al exponerlo a ejemplos sintéticos que contradicen la información no deseada, permitiendo así la eliminación selectiva de conocimientos sin necesidad de acceder a l…

L'article traite d'une nouvelle approche pour résoudre le problème de l'amnésie de l'IA, où les modèles d'IA peuvent involontairement conserver des informations sensibles. Les méthodes traditionnelles pour supprimer ces données nécessitent souvent un réentraînement complet du modèle, ce qui est coûteux et long. La nouvelle technique consiste à créer des 'cues d'oubli' artificiels qui aident le modèle à désapprendre des schémas de données spécifiques en lui présentant des exemples synthétiques qui contredisent les informations indésirables, permettant ainsi une suppression ciblée des connaissan…

The article discusses a novel approach to address the issue of AI amnesia, where AI models may inadvertently retain sensitive information. Traditional methods for deleting such data often require complete retraining of the model, which is costly and time-consuming. The new technique involves creating artificial 'forgetting cues' that help the model unlearn specific data patterns by presenting it with synthetic examples that contradict the unwanted information, allowing for targeted knowledge removal without needing access to the original data.

AI Amnesia: Erasing Knowledge Without a Trace

Baseus' Enercore CG11 travel adapter is one of the better designed ones I've tested, although its best feature isn't immediately apparent.

Traveling soon? Why this one charger is the only one you'll ever need to pack

Turning materials like wood chips, crop residues and municipal solid waste into fuels and chemicals is important for our country's energy independence.

طور الباحثون نماذج حاسوبية متقدمة تهدف إلى تحسين التنبؤات لعمليات طحن الكتلة الحيوية. تركز هذه الابتكارات على تحويل مواد مثل رقائق الخشب، بقايا المحاصيل، والنفايات الصلبة البلدية إلى وقود ومواد كيميائية قيمة، وهو أمر مهم لتعزيز استقلالية الطاقة في البلاد. من المتوقع أن تعمل النماذج على تحسين كفاءة معالجة الكتلة الحيوية، مما يساهم في حلول الطاقة المستدامة.

Investigadores han desarrollado modelos informáticos avanzados destinados a mejorar las predicciones para los procesos de molienda de biomasa. Esta innovación se centra en convertir materiales como astillas de madera, residuos de cultivos y residuos sólidos municipales en combustibles y productos químicos valiosos, lo que es crucial para mejorar la independencia energética del país. Se espera que los modelos optimicen la eficiencia del procesamiento de biomasa, contribuyendo así a soluciones energéticas sostenibles.

Des chercheurs ont développé des modèles informatiques avancés visant à améliorer les prévisions pour les processus de broyage de la biomasse. Cette innovation se concentre sur la conversion de matériaux tels que les copeaux de bois, les résidus de culture et les déchets solides municipaux en combustibles et produits chimiques précieux, ce qui est crucial pour renforcer l'indépendance énergétique du pays. Les modèles devraient optimiser l'efficacité du traitement de la biomasse, contribuant ainsi à des solutions énergétiques durables.

Researchers have developed advanced computer models aimed at improving predictions for biomass milling processes. This innovation focuses on converting materials such as wood chips, crop residues, and municipal solid waste into valuable fuels and chemicals, which is crucial for enhancing energy independence in the country. The models are expected to optimize the efficiency of biomass processing, thereby contributing to sustainable energy solutions.

Researchers develop computer models for better biomass milling predictions

The most interesting aspect of the latest Even Realities glasses may be their limitations.

I've tried several AI smart glasses (including Meta Ray-Bans) in 2025 - these are the most comfortable

<h1>
 
 
 Sector HQ Weekly Digest - November 17, 2025
</h1>

Who's shipping vs who's just talking? Here's this week's AI industry intelligence.

<h2>
 
 
 🏆 Top 10 Companies
</h2>

<ol>
<li>
OpenAI - Score: 442385.7 | 343 events this week</li>
<li>
Anthropic - Score: 266113.1 | 51 events this week</li>
<li>
Amazon - Score: 135242.8 | 22 events this week</li>
<li>
Nvidia - Score: 128360.7 | 161 events this week</li>
<li>
Google - Score: 111135.8 | 125 events this week</li>
<li>
Microsoft - Score: 95559.7 | 99 events this week</li>
<li>
Meta - Score: 78015.6 | 61 events this week</li>
<li>
Apple - Score: 64936.3 | 94 events this week</li>
<li>
Tesla - Score: 41242.1 | 12 events this week</li>
<li>
AMD - Score: 40235.9 | 43 events this week</li>
</ol>

<h2>
 
 
 📈 Biggest Movers
</h2>

<ul>
<li>↑ Sony jumped 277 positions to #58</li>
<li>↑ Stability AI jumped 183 positions to #78</li>
<li>↑ Bytedance jumped 143 positions to #68</li>
<li>↑ Scale AI jumped 122 positions to #66</li>
<li>↑ Palantir jumped 107 positions to #17</li>
</ul>

<h2>
 
 
 🚨 Hype Gap Alerts
</h2>

No high hype alerts this week

<h2>
 
 
 📊 Key Insights
</h2>

<ul>
<li>Total companies tracked: 100</li>
<li>Total events this week: 1317</li>
<li>Average activity per company: 13.2 events</li>
</ul>

<h2>
 
 
 💡 What This Means
</h2>

The AI industry continues to evolve rapidly. Companies that ship consistently rise in our rankings, while those focused on hype alone get flagged by our Hype Gap detector.

Methodology: Our leaderboard tracks real product releases, funding events, partnerships, and market traction - not just PR and social media buzz.




Want real-time updates? Check out the live leaderboard at <a href="https://sectorhq.co" rel="noopener noreferrer">sectorhq.co</a>

Track specific companies and get instant alerts when they move in the rankings.

<h2>
 
 
 Tags
</h2>

<h1>
 
 
 AI #ArtificialIntelligence #MachineLearning #TechIndustry #Startups #AILeaderboard
</h1>

تسليط الضوء على أحدث التطورات في صناعة الذكاء الاصطناعي في نشرة قطاع HQ الأسبوعية بتاريخ 17 نوفمبر 2025، مع التركيز على أداء الشركات الرائدة. تتصدر OpenAI القائمة برصيد 442385.7 و343 حدثًا، تليها Anthropic وAmazon. كما يشير التقرير إلى تحركات كبيرة، حيث قفزت Sony 277 مركزًا في الترتيب، مما يعكس الطبيعة الديناميكية للقطاع.

El Digest semanal de Sector HQ del 17 de noviembre de 2025 destaca los últimos desarrollos en la industria de la IA, centrándose en el rendimiento de las principales empresas. OpenAI lidera con una puntuación de 442385.7 y 343 eventos, seguido de Anthropic y Amazon. El informe también señala movimientos significativos, con Sony saltando 277 posiciones en el ranking, reflejando la naturaleza dinámica del sector de la IA.

Le Digest hebdomadaire du Secteur HQ du 17 novembre 2025 met en lumière les derniers développements de l'industrie de l'IA, en se concentrant sur la performance des principales entreprises. OpenAI est en tête avec un score de 442385,7 et 343 événements, suivi d'Anthropic et d'Amazon. Le rapport note également des mouvements significatifs, Sony ayant grimpé de 277 positions dans le classement, reflétant la nature dynamique du secteur de l'IA.

The Sector HQ Weekly Digest for November 17, 2025, highlights the latest developments in the AI industry, focusing on the performance of top companies. OpenAI leads with a score of 442385.7 and 343 events, followed by Anthropic and Amazon. The report also notes significant movements, with Sony jumping 277 positions in the rankings, reflecting the dynamic nature of the AI sector.

Sector HQ Weekly Digest - November 17, 2025

<img width="1536" height="1024" src="https://the-decoder.com/wp-content/uploads/2025/11/openai_microsoft_partner.png" class="attachment-full size-full wp-post-image" alt="" style="height: auto; margin-bottom: 10px;" decoding="async" />
 According to Techcrunch and blogger Ed Zitron, new internal documents outline how much money is moving between OpenAI and Microsoft. The documents suggest that the cost of simply running OpenAI's models is enormous. Based on these figures, a profitable OpenAI still seems far off.
The article <a href="https://the-decoder.com/leaked-finances-hint-that-openais-inference-may-be-swallowing-its-revenue/">Leaked finances hint that OpenAI&#039;s inference may be swallowing its revenue</a> appeared first on <a href="https://the-decoder.com">THE DECODER</a>.

تكشف الوثائق الداخلية الأخيرة عن تفاصيل مالية مهمة حول عمليات OpenAI، مما يشير إلى أن التكاليف المرتبطة بتشغيل نماذجها كبيرة. تشير التقارير من Techcrunch والمدون إد زيتورن إلى أن ربحية OpenAI لا تزال بعيدة المنال، حيث قد يكون العبء المالي قد أرهق قدراتها على توليد الإيرادات.

Documentos internos recientes revelan detalles financieros significativos sobre las operaciones de OpenAI, indicando que los costos asociados con la ejecución de sus modelos son sustanciales. Informes de Techcrunch y del bloguero Ed Zitron sugieren que la rentabilidad de OpenAI sigue siendo esquiva, ya que la carga financiera podría estar abrumando sus capacidades de generación de ingresos.

Des documents internes récents révèlent des détails financiers significatifs sur les opérations d'OpenAI, indiquant que les coûts associés à l'exécution de ses modèles sont considérables. Les rapports de Techcrunch et du blogueur Ed Zitron suggèrent que la rentabilité d'OpenAI reste insaisissable, car le fardeau financier pourrait submerger ses capacités de génération de revenus.

Recent internal documents reveal significant financial details about OpenAI's operations, indicating that the costs associated with running its models are substantial. Reports from Techcrunch and blogger Ed Zitron suggest that OpenAI's profitability remains elusive, as the financial burden may be overwhelming its revenue generation capabilities.

Leaked finances hint that OpenAI's inference may be swallowing its revenue

<img width="1536" height="1024" src="https://the-decoder.com/wp-content/uploads/2025/11/microsoft_ad_80s.png" class="attachment-full size-full wp-post-image" alt="" style="height: auto; margin-bottom: 10px;" decoding="async" />
 Microsoft CEO Satya Nadella has declared that Microsoft will become a completely new company, effective immediately.
The article <a href="https://the-decoder.com/microsoft-ceo-satya-nadella-promises-a-completely-new-microsoft/">Microsoft CEO Satya Nadella promises a completely new Microsoft</a> appeared first on <a href="https://the-decoder.com">THE DECODER</a>.

أعلن الرئيس التنفيذي لشركة مايكروسوفت، ساتيا ناديلا، أن الشركة ستخضع لتحول كبير، لتصبح كيانًا جديدًا تمامًا اعتبارًا من الآن. تمثل هذه التصريح لحظة حاسمة في تطور مايكروسوفت حيث تهدف إلى إعادة تعريف نموذج أعمالها وعملياتها.

El CEO de Microsoft, Satya Nadella, ha anunciado que la compañía se transformará significativamente, convirtiéndose en una entidad completamente nueva de inmediato. Esta declaración marca un momento crucial en la evolución de Microsoft mientras busca redefinir su modelo de negocio y operaciones.

Le PDG de Microsoft, Satya Nadella, a annoncé que l'entreprise subira une transformation significative, devenant une entité complètement nouvelle dès maintenant. Cette déclaration marque un moment clé dans l'évolution de Microsoft alors qu'elle vise à redéfinir son modèle commercial et ses opérations.

Microsoft CEO Satya Nadella has announced that the company will undergo a significant transformation, becoming a completely new entity effective immediately. This declaration marks a pivotal moment in Microsoft's evolution as it aims to redefine its business model and operations.

Microsoft CEO Satya Nadella promises a completely new Microsoft

Cities and counties call Congressional plan an "unprecedented federal intrusion."

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Elimination status is lost if the virus spreads continuously for 12 months.

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