<img width="800" height="450" src="https://analyticsindiamag.com/wp-content/uploads/2024/12/Google-willow-story-1300x731.jpg" class="webfeedsFeaturedVisual wp-post-image" alt="" style="display: block; margin: auto; margin-bottom: 5px;max-width: 100%;" link_thumbnail="" decoding="async" loading="lazy" srcset="https://analyticsindiamag.com/wp-content/uploads/2024/12/Google-willow-story-1300x731.jpg 1300w, https://analyticsindiamag.com/wp-content/uploads/2024/12/Google-willow-story-600x338.jpg 600w, https://analyticsindiamag.com/wp-content/uploads/2024/12/Google-willow-story-768x432.jpg 768w, https://analyticsindiamag.com/wp-content/uploads/2024/12/Google-willow-story-1536x864.jpg 1536w, https://analyticsindiamag.com/wp-content/uploads/2024/12/Google-willow-story-150x84.jpg 150w, https://analyticsindiamag.com/wp-content/uploads/2024/12/Google-willow-story.jpg 1600w" sizes="auto, (max-width: 800px) 100vw, 800px" />The company said it is releasing SIMA 2 as a limited research preview for a small group of academics and game developers.
The post <a href="https://analyticsindiamag.com/ai-news-updates/google-deepmind-unveils-sima-2-an-ai-agent-that-acts-and-learns-in-3d-environments/">Google DeepMind Unveils SIMA 2, an AI Agent That Acts and Learns in 3D Environments</a> appeared first on <a href="https://analyticsindiamag.com">Analytics India Magazine</a>.

أعلنت شركة جوجل ديب مايند عن إطلاق SIMA 2، وهو وكيل ذكاء اصطناعي مصمم للعمل والتعلم في بيئات ثلاثية الأبعاد. ستتوفر هذه التكنولوجيا الجديدة كمعاينة بحثية محدودة تستهدف مجموعة صغيرة من الأكاديميين ومطوري الألعاب. من المقرر أن يتم الإطلاق في 1 ديسمبر 2024، ومن المتوقع أن تعزز قدرات الذكاء الاصطناعي في البيئات التفاعلية والغامرة.

Google DeepMind ha anunciado el lanzamiento de SIMA 2, un agente de IA diseñado para actuar y aprender en entornos 3D. Esta nueva tecnología estará disponible como una vista previa de investigación limitada, dirigida a un pequeño grupo de académicos y desarrolladores de juegos. El lanzamiento está programado para el 1 de diciembre de 2024 y se espera que mejore las capacidades de la IA en entornos interactivos e inmersivos.

Google DeepMind a annoncé la sortie de SIMA 2, un agent d'IA conçu pour agir et apprendre dans des environnements 3D. Cette nouvelle technologie sera disponible sous forme d'aperçu de recherche limité, destiné à un petit groupe d'académiques et de développeurs de jeux. La sortie est prévue pour le 1er décembre 2024 et devrait améliorer les capacités de l'IA dans des contextes interactifs et immersifs.

Google DeepMind has announced the release of SIMA 2, an AI agent designed to act and learn in 3D environments. This new technology is being made available as a limited research preview aimed at a small group of academics and game developers. The release is set for December 1, 2024, and is expected to enhance the capabilities of AI in interactive and immersive settings.

Google DeepMind Unveils SIMA 2, an AI Agent That Acts and Learns in 3D Environments

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

Is the $500 Oura Ring 4 Ceramic worth it? I wore one for a month, and here's my advice

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

<img width="800" height="450" src="https://analyticsindiamag.com/wp-content/uploads/2024/11/Google-Gemini-1300x731.jpg" class="webfeedsFeaturedVisual wp-post-image" alt="" style="display: block; margin: auto; margin-bottom: 5px;max-width: 100%;" link_thumbnail="" decoding="async" fetchpriority="high" srcset="https://analyticsindiamag.com/wp-content/uploads/2024/11/Google-Gemini-1300x731.jpg 1300w, https://analyticsindiamag.com/wp-content/uploads/2024/11/Google-Gemini-600x337.jpg 600w, https://analyticsindiamag.com/wp-content/uploads/2024/11/Google-Gemini-768x432.jpg 768w, https://analyticsindiamag.com/wp-content/uploads/2024/11/Google-Gemini-150x84.jpg 150w, https://analyticsindiamag.com/wp-content/uploads/2024/11/Google-Gemini.jpg 1400w" sizes="(max-width: 800px) 100vw, 800px" />For developers, Google launched Google Antigravity, an agent-first development platform built around Gemini 3.
The post <a href="https://analyticsindiamag.com/ai-news-updates/google-launches-gemini-3-claims-benchmark-lead-over-gpt-5-1-and-claude-sonnet-4-5/">Google Launches Gemini 3, Claims Benchmark Lead Over GPT-5.1 and Claude Sonnet 4.5</a> appeared first on <a href="https://analyticsindiamag.com">Analytics India Magazine</a>.

أطلقت جوجل نموذج Gemini 3، أحدث نماذج الذكاء الاصطناعي لديها، والذي يدعي أنه يتفوق على المنافسين GPT-5.1 وClaude Sonnet 4.5 في اختبارات المعايير. تم تصميم هذا النموذج لتعزيز قدرات البرمجة والتفكير، مما يوفر للمطورين أداة أكثر ذكاءً ودقة. بالإضافة إلى ذلك، قدمت جوجل منصة Google Antigravity، وهي منصة تطوير تركز على الوكلاء مبنية حول Gemini 3، تهدف إلى تحسين التفاعلات والتجارب للمستخدمين.

Google ha lanzado Gemini 3, su último modelo de IA, que afirma superar a los competidores GPT-5.1 y Claude Sonnet 4.5 en pruebas de referencia. Este nuevo modelo está diseñado para mejorar las capacidades de codificación y razonamiento, proporcionando a los desarrolladores una herramienta más inteligente y precisa. Además, Google presentó Google Antigravity, una plataforma de desarrollo centrada en agentes construida alrededor de Gemini 3, destinada a mejorar las interacciones y experiencias de los usuarios.

Google a lancé Gemini 3, son dernier modèle d'IA, qui prétend surpasser les concurrents GPT-5.1 et Claude Sonnet 4.5 dans les tests de référence. Ce nouveau modèle est conçu pour améliorer les capacités de codage et de raisonnement, offrant aux développeurs un outil plus intelligent et factuellement précis. De plus, Google a introduit Google Antigravity, une plateforme de développement axée sur les agents, construite autour de Gemini 3, visant à améliorer les interactions et les expériences des utilisateurs.

Google has launched Gemini 3, its latest AI model, which claims to outperform competitors GPT-5.1 and Claude Sonnet 4.5 in benchmark tests. The new model is designed to enhance coding and reasoning capabilities, providing developers with a more intelligent and factually accurate tool. Additionally, Google introduced Google Antigravity, an agent-first development platform built around Gemini 3, aimed at improving user interactions and experiences.

Google Launches Gemini 3, Claims Benchmark Lead Over GPT-5.1 and Claude Sonnet 4.5

<img width="800" height="440" src="https://analyticsindiamag.com/wp-content/uploads/2025/11/Screenshot-2025-11-18-at-9.00.41-PM-1300x715.png" class="webfeedsFeaturedVisual wp-post-image" alt="" style="display: block; margin: auto; margin-bottom: 5px;max-width: 100%;" link_thumbnail="" decoding="async" loading="lazy" srcset="https://analyticsindiamag.com/wp-content/uploads/2025/11/Screenshot-2025-11-18-at-9.00.41-PM-1300x715.png 1300w, https://analyticsindiamag.com/wp-content/uploads/2025/11/Screenshot-2025-11-18-at-9.00.41-PM-768x422.png 768w, https://analyticsindiamag.com/wp-content/uploads/2025/11/Screenshot-2025-11-18-at-9.00.41-PM-1536x845.png 1536w, https://analyticsindiamag.com/wp-content/uploads/2025/11/Screenshot-2025-11-18-at-9.00.41-PM-2048x1126.png 2048w" sizes="auto, (max-width: 800px) 100vw, 800px" />Anthropic has committed to purchase $30 billion in Azure compute capacity, with the option to contract up to one gigawatt of additional compute.
The post <a href="https://analyticsindiamag.com/ai-news-updates/microsoft-and-nvidia-to-invest-up-to-15-billion-in-anthropic/">Microsoft and NVIDIA to Invest Up to $15 Billion in Anthropic</a> appeared first on <a href="https://analyticsindiamag.com">Analytics India Magazine</a>.

أعلنت مايكروسوفت وإنفيديا عن استثمار مشترك يصل إلى 15 مليار دولار في شركة أنثروبيك، وهي شركة أبحاث وأمان في مجال الذكاء الاصطناعي. يأتي هذا الاستثمار كجزء من استراتيجية أوسع لتعزيز تطوير تقنيات الذكاء الاصطناعي المتقدمة. كما التزمت أنثروبيك بشراء 30 مليار دولار من سعة الحوسبة في أزور، مع خيار الحصول على موارد إضافية، مما يشير إلى شراكة مهمة تهدف إلى تعزيز قدرات الذكاء الاصطناعي مع ضمان الأمان في نشرها.

Microsoft y NVIDIA han anunciado una inversión conjunta de hasta 15 mil millones de dólares en Anthropic, una empresa de investigación y seguridad en IA. Esta inversión forma parte de una estrategia más amplia para mejorar el desarrollo de tecnologías avanzadas en IA. Anthropic también se ha comprometido a comprar 30 mil millones de dólares en capacidad de computación de Azure, con la opción de recursos adicionales, lo que indica una asociación significativa para avanzar en las capacidades de IA mientras se garantiza la seguridad en su implementación.

Microsoft et NVIDIA ont annoncé un investissement commun pouvant atteindre 15 milliards de dollars dans Anthropic, une entreprise de recherche et de sécurité en IA. Cet investissement s'inscrit dans une stratégie plus large visant à améliorer le développement de technologies avancées en IA. Anthropic s'est également engagé à acheter 30 milliards de dollars de capacité de calcul Azure, avec la possibilité de ressources supplémentaires, indiquant un partenariat significatif pour faire progresser les capacités de l'IA tout en garantissant la sécurité de son déploiement.

Microsoft and NVIDIA have announced a joint investment of up to $15 billion in Anthropic, an AI safety and research company. This investment is part of a broader strategy to enhance the development of advanced AI technologies. Anthropic has also committed to purchasing $30 billion in Azure compute capacity, with the option for additional resources, indicating a significant partnership aimed at advancing AI capabilities while ensuring safety in deployment.

Microsoft and NVIDIA to Invest Up to $15 Billion in Anthropic

<img width="800" height="450" src="https://analyticsindiamag.com/wp-content/uploads/2025/11/Indian-Startups-Can-Vibe-Code-with-AWS-Kiro--1300x731.jpg" class="webfeedsFeaturedVisual wp-post-image" alt="" style="display: block; margin: auto; margin-bottom: 5px;max-width: 100%;" link_thumbnail="" decoding="async" loading="lazy" srcset="https://analyticsindiamag.com/wp-content/uploads/2025/11/Indian-Startups-Can-Vibe-Code-with-AWS-Kiro--1300x731.jpg 1300w, https://analyticsindiamag.com/wp-content/uploads/2025/11/Indian-Startups-Can-Vibe-Code-with-AWS-Kiro--768x432.jpg 768w, https://analyticsindiamag.com/wp-content/uploads/2025/11/Indian-Startups-Can-Vibe-Code-with-AWS-Kiro--1536x864.jpg 1536w, https://analyticsindiamag.com/wp-content/uploads/2025/11/Indian-Startups-Can-Vibe-Code-with-AWS-Kiro-.jpg 1600w" sizes="auto, (max-width: 800px) 100vw, 800px" />AWS wants Kiro to be a tool every developer can use without requiring a backend or cloud.
The post <a href="https://analyticsindiamag.com/global-tech/indian-startups-can-now-vibe-code-with-aws-kiro/">Indian Startups Can Now Vibe Code With AWS Kiro</a> appeared first on <a href="https://analyticsindiamag.com">Analytics India Magazine</a>.

Google DeepMind Unveils SIMA 2, an AI Agent That Acts and Learns in 3D Environments

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