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Actualités technologiques et économiques

  • Sergio De Simone

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Actualités technologiques et économiques et rumeurs des membres
Entrepriseinfoq.comTitre
DigitalOcean Launches Learning and Data Services to Enable Self-Improving AI Agents

DigitalOcean has announced the public preview of Learning Services and Agent Data Services, enabling developers to build, evaluate, and continuously improve AI agents within a unified, AI-native, cloud platform. By Sergio De Simone

AuteurSergio De SimoneTypeVérifiéIADate26 oct. 2026
Entreprise
GoogleMetalDifferentMetal
Titre
Google ML Drift Accelerates On-Device AI Inference Across Diverse GPUs

Google has released ML Drift, an open-source, cross-platform GPU compute engine designed for on-device AI and machine learning inference. Licensed under Apache 2.0, it abstracts the complexities of different GPU hardware and low-level APIs…

AuteurSergio De SimoneTypeVérifiéIADate25 oct. 2026
Entreprise
GoogleDevelopmentOvernight
Titre
Google Optimizes Agent Development Kit's 200K-line Python Codebase Overnight with Gemini 4 Argon

Google explained how an 11-hour unattended run of Gemini 4 Argon produced two accepted optimizations for Google Agent Development Kit's codebase, reducing in-memory session-preparation overhead by about 40% in long sessions and cold packag…

AuteurSergio De SimoneTypeVérifiéDate24 oct. 2026
Entreprise
Development
Titre
Study Finds AI-generated Code Fails to Boost Productivity Due to Downstream Bottlenecks

A recent Harvard study of 718 firms, using the Jellyfish analytics platform, finds that although AI coding assistants and agents increase code volume, this does not translate into a corresponding increase in completed work, partly because…

AuteurSergio De SimoneTypeVérifiéIADate22 oct. 2026
Entreprise
OpenAIGoogleNvidiaApple
Titre
Google SynthID Detector Simplifies Watermark Detection and Expands Support to Other AI Providers

Google DeepMind announced the global availability of SynthID Detector, a tool designed to help identify AI-generated content, including media created using AI tools from SynthID partners such as OpenAI, NVIDIA, and Kakao, with Apple suppor…

AuteurSergio De SimoneTypeVérifiéIADate21 oct. 2026
Entreprise
Google
Titre
EmbeddingGemma 2 Expands beyond Text to Support Code, Images, Video, and Audio

Based on Gemma 4 and released under the Apache 2.0 license, Google's EmbeddingGemma 2 is a compact, open-weight, multimodal embedding model designed to make semantic search and retrieval-augmented generation (RAG) more efficient while opti…

AuteurSergio De SimoneTypeVérifiéDate19 oct. 2026
Entreprise
Google
Titre
Google EnvHarness Enables Self-Evolving Agents to Learn in Dynamics Environments

Google researchers open sourced EnvHarness, a framework that dynamically adapts agent-training environments to an agent's weaknesses without modifying the agent, environment, or evaluation system. According to the researchers, this approac…

AuteurSergio De SimoneTypeVérifiéDate16 oct. 2026
Entreprise
GoogleLocal
Titre
Google Antigravity SDK Adds Local Model Support for Greater Token Efficiency and Code Privacy

Google has introduced support for local models in the Antigravity SDK, enabling developers to build and execute agentic workflows directly on their own machines, while retaining the flexibility to mix in cloud-based models for higher-level…

AuteurSergio De SimoneTypeVérifiéDate14 oct. 2026
Entreprise
Meta
Titre
Context Language Models: Self-Managing Context to Improve Performance and Reduce Compute Costs

Researchers from Meta, MIT, and the University of Washington introduce Context Language Models (CLMs), a new approach that enables language models to manage and edit their own context rather than relying on predefined mechanisms for summar…

AuteurSergio De SimoneTypeVérifiéDate11 oct. 2026
Entreprise
GoogleDevelopmentBenchmark
Titre
Android Bench 2 Adds Support for Long-Horizon Tasks, Agentic Evaluation, and Continuous Scoring

Google has released Android Bench 2.0, a major update to its benchmark framework for evaluating AI models and agents on Android development tasks. The update introduces long-horizon tasks (LHTs), agent-based evaluation, and continuous scor…

AuteurSergio De SimoneTypeVérifiéIADate9 oct. 2026
Entrepriseinfoq.comTitre
Survey Finds AI-Generated Code Increases Debugging and Failure Rates and Creates a Comprehension Gap

A survey conducted by independent research firm Coleman Parkes on behalf of Undo, a company focused on scaling AI-powered root-cause analysis, found that while AI coding agents have accelerated code generation, they have shifted the primar…

AuteurSergio De SimoneTypeVérifiéIADate7 oct. 2026