Google released its reasoning model Gemini 2.5, emphasizing enhanced performance and improved accuracy with built-in reasoning capabilities for future models.
OpenAI introduced 4o Image Generation, enhancing text rendering, refining images, and improving instruction following for up to 10-20 objects.
Microsoft unveiled new reasoning agents, Researcher and Analyst, in Microsoft 365 Copilot, assisting with data analysis and multi-step research.
Microsoft also introduced new agents in Microsoft Security Copilot, focusing on tasks like phishing triage, alert handling, vulnerability remediation, and threat intelligence briefing.
Red Hat AI expanded capabilities in Red Hat OpenShift AI 2.18, including model serving across multiple GPUs, end-to-end tuning, and AI Guardrails for mitigating unwanted content.
Akamai launched Akamai Cloud Inference for AI at the edge, aiming to improve throughputs and reduce latency by providing various compute types and real-time data access.
The source code for AlexNet, a significant neural network for image recognition from 2012, has been made open source by the Computer History Museum.
These advancements showcase the ongoing evolution and innovations in AI technologies across various platforms and industries.
For further details on last week's AI announcements, please refer to the article mentioned for comprehensive updates.