IA générative, LLMs, recherche en machine learning et impacts sociétaux.
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S’abonner (RSS)Software Engineer at Google with experience in applied NLP, web, mobile web, mobile… · Experience: Google DeepMind · Education: University of Michigan · Location: Ann Arbor · 500+ connections on LinkedIn. View Benji Bear’s profile on LinkedIn, a professional community of 1 billion members.
Cette newsletter du 22 juillet 2026 couvre les actualités majeures en cybersécurité et IA, incluant les retours de Google sur la gestion des vulnérabilités assistée par IA, un panorama de 16 cyberattaques signalées la semaine du 21 juillet, l'adoption par le CICR de l'emblème numérique ADEM pour protéger les réseaux humanitaires, et 15 alertes critiques de vulnérabilités. La publication met l'accent sur la structuration de la défense face à l'accélération des menaces et la nécessité de garde-fous stricts dans l'utilisation de l'IA pour la sécurité.
The future of artificial intelligence will depend on better algorithms, more powerful chips, and larger computing infrastructure. But sustaining that progress will also require advances in the materials that make those technologies possible. Whether in semiconductor manufacturing or AI infrastructure, progress is earned. Every new generation of technologies raises the bar, and every new material must prove it can deliver the performance, reliability, and efficiency needed before it earns its pla
Marc Benioff announced Salesforce Headless 360 this week: “No browser required. Our API is the UI.” For anyone running real AI agents in production, this isn’t a product announcem…
We’ve fine-tuned CodeMender’s harness to be continuously updated with the latest Google DeepMind research, including the up-to-date agent skills, security tools, and system prompts. Operating in the secure-by-design Agent Platform, CodeMender is protected by enterprise-grade, built-in governance and security guardrails, including secure traffic routing through your VPC, data isolation and encryption, and zero retention of source code data. As an agent, it can integrate with existing continuous i
With a focus on operational decision-making, agentic AI works autonomously in the background, directly impacting business processes and freeing up employees for higher-value work.
The movable medical equipment provider repurposed an accounts payable machine learning model to enable nurses to one-click rent hospital beds through their EMR systems.
La semaine dernière, la plateforme d’hébergement spécialisée dans le machine learning a détecté des « accès non autorisés » à des « Spaces », nom donné…
C’est un des premiers résultats concrets de Mythos : Mozilla a annoncé que la version 150 de Firefox contient des correctifs pour la bagatelle de 271…
La stratégie américaine d’embargo pour contrer le secteur technologique chinois serait-elle contreproductive ? La question se pose, alors qu’une société…
Goal: Improve prompt quality by reviewing past interactions and suggesting clearer, more effective ways to work with agents. Prompt: /create-canvas Create an interactive prompt coach that suggests to you how you could have improved your previous prompts in your sessions with skills, mcp servers, etc. Make note of any spelling errors, syntax errors, etc. Result: The canvas shows a list of previous prompts and analyzes each one, suggesting improvements such as missing context, spelling issues, and
La présentation date de décembre 2025 et ressemble à un point d’étape sur les travaux en cours. Signalons tout de suite que France Travail dispose déjà de plusieurs outils alimentés par l’IA, comme mentionné sur son site. ChatFT assiste par exemple les conseillers dans les échanges avec les demandeurs d’emploi et facilite la création de documents. MatchFT a pour mission de faire « correspondre les offres d’emploi aux profils des candidats. Il contacte ensuite par SMS les candidats identifiés com
Shadow AI is the use of artificial intelligence tools or systems without the approval, monitoring, or involvement of an organization’s IT or security teams.
CEO confidence in their company’s revenue prospects has fallen to its lowest level in five years, as business leaders grapple with uneven returns from artificial intelligence, rising geopolitical risk, and intensifying cyber threats.
The long-term destination is the autonomous network: A network capable of self-monitoring, self-optimizing, self-healing and self-securing through the use of AI and automation. However, autonomous networking will not emerge overnight. The investments enterprises make today to support agentic AI are the same foundational building blocks required for tomorrow’s autonomous operations. In many ways, agentic AI serves as both the driver and beneficiary of network transformation. AI agents require net
AI agent observability offers insight into the behavior and performance of AI agents, including interactions with LLMs and tools.
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