agents

A collection of 34 posts
DeepL’s New AI Agent Focuses on Automating Corporate Routine Processes and Enhancing Data Security
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DeepL’s New AI Agent Focuses on Automating Corporate Routine Processes and Enhancing Data Security

The German company DeepL, previously best known for its AI-based translation services, announced on 3 September 2025 the launch of DeepL Agent, an AI agent designed specifically for enterprise users. The newly introduced product is capable of automating repetitive, time-consuming corporate tasks and, by responding to natural language commands, can
3 min read
OpenAI PaperBench Measures AI Agents' Performance in Reconstructing Scientific Papers
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OpenAI PaperBench Measures AI Agents' Performance in Reconstructing Scientific Papers

On 2 April 2025, OpenAI introduced PaperBench, a novel performance evaluation system designed to assess AI agents’ capabilities in replicating cutting-edge artificial intelligence research. Developed as part of the OpenAI Preparedness Framework, which measures AI systems’ readiness for complex tasks, PaperBench specifically challenges AI agents to accurately replicate 20 significant
3 min read
Foundation Agents: Data-Driven Enterprise Efficiency in 2025
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Foundation Agents: Data-Driven Enterprise Efficiency in 2025

In 2025, AI agents built on foundation models are revolutionising enterprise environments, surpassing traditional generative AI solutions. While most organisations still deploy ChatGPT-like applications, leading companies are adopting autonomous AI agents that respond to commands and execute complex business processes with minimal human intervention. Data-driven results from enterprise implementations demonstrate
3 min read
The IBM 2025 AI Ethics Report: Values and Risks of AI Agent Systems in the Corporate Environment
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The IBM 2025 AI Ethics Report: Values and Risks of AI Agent Systems in the Corporate Environment

In March 2025, the IBM AI Ethics Board published a comprehensive report on artificial intelligence agents, detailing the opportunities presented by AI agents, their associated risks, and recommended risk mitigation strategies, highlighting that these systems can create significant value for companies while introducing new types of sociotechnical risks requiring advanced
4 min read