Nano Banana Pro, also called Gemini 3 Pro Image, is Google DeepMind’s new image generation and editing model built on […]
Category: Applications
Allen Institute for AI (AI2) Introduces Olmo 3: An Open Source 7B and 32B LLM Family Built on the Dolma 3 and Dolci Stack
Allen Institute for AI (AI2) is releasing Olmo 3 as a fully open model family that exposes the entire ‘model […]
Meta AI Releases Segment Anything Model 3 (SAM 3) for Promptable Concept Segmentation in Images and Videos
How do you reliably find, segment and track every instance of any concept across large image and video collections using […]
Meet Kosmos: An AI Scientist that Automates Data-Driven Discovery
Kosmos, built by Edison Scientific, is an autonomous discovery system that runs long research campaigns on a single goal. Given […]
Nested Learning: A New Machine Learning Approach for Continual Learning that Views Models as Nested Optimization Problems to Enhance Long Context Processing
How can we build AI systems that keep learning new information over time without forgetting what they learned before or […]
Google AI Releases ADK Go: A New Open-Source Toolkit Designed to Empower Go Developers to Build Powerful AI Agents
How do you build reliable AI agents that plug into your existing Go services without bolting on a separate language […]
Moonshot AI Releases Kimi K2 Thinking: An Impressive Thinking Model that can Execute up to 200–300 Sequential Tool Calls without Human Interference
How do we design AI systems that can plan, reason, and act over long sequences of decisions without constant human […]
Google AI Introduces DS STAR: A Multi Agent Data Science System That Plans, Codes And Verifies End To End Analytics
How do you turn a vague business style question over messy folders of CSV, JSON and text into reliable Python […]
OpenAI Introduces IndQA: A Culture Aware Benchmark For Indian Languages
How can we reliably test whether large language models actually understand Indian languages and culture in real world contexts? OpenAI […]
Google AI Introduces Consistency Training for Safer Language Models Under Sycophantic and Jailbreak Style Prompts
How can consistency training help language models resist sycophantic prompts and jailbreak style attacks while keeping their capabilities intact? Large […]