Browsing: AI & Robotics
Diffusion models like OpenAI’s DALL-E are becoming increasingly useful in helping brainstorm new designs. Humans can prompt these systems to…
Polaris-4B and Polaris-7B: Post-Training Reinforcement Learning for Efficient Math and Logic Reasoning
By Vidya Saras
The Rising Need for Scalable Reasoning Models in Machine Intelligence Advanced reasoning models are at the frontier of machine intelligence,…
In the Northeastern United States, the Gulf of Maine represents one of the most biologically diverse marine ecosystems on the…
In this Ultra-Light Mistral Devstral tutorial, a Colab-friendly guide is provided that is designed specifically for users facing disk space…
A large language model (LLM) deployed to make treatment recommendations can be tripped up by nonclinical information in patient messages,…
New AI Framework Evaluates Where AI Should Automate vs. Augment Jobs, Says Stanford Study
By Vidya Saras
Redefining Job Execution with AI Agents AI agents are reshaping how jobs are performed by offering tools that execute complex,…
Researchers present bold ideas for AI at MIT Generative AI Impact Consortium kickoff event | MIT News
By Vidya Saras
Launched in February of this year, the MIT Generative AI Impact Consortium (MGAIC), a presidential initiative led by MIT’s Office…
Building an A2A-Compliant Random Number Agent: A Step-by-Step Guide to Implementing the Low-Level Executor Pattern with Python
By Vidya Saras
The Agent-to-Agent (A2A) protocol is a new standard by Google that enables AI agents—regardless of their underlying framework or developer—to…
During his first year at MIT in 2021, Matthew Caren ’25 received an intriguing email inviting students to apply to…
MiniMax AI Releases MiniMax-M1: A 456B Parameter Hybrid Model for Long-Context and Reinforcement Learning RL Tasks
By Vidya Saras
The Challenge of Long-Context Reasoning in AI Models Large reasoning models are not only designed to understand language but are…