A new kind of large language model, developed by researchers at the Allen Institute for AI (Ai2), makes it possible to control how training data is used even after a model has been built.

Forbes contributors publish independent expert analyses and insights. David Henkin helps organizations and individuals innovate and grow. Predictive analytics has evolved from a niche discipline into ...

Article Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to ...

The Opensource DeepSeek R1 model and the distilled local versions are shaking up the AI community. The Deepseek models are the best performing open source models and are highly useful as agents and ...

The battlefield of 2030 will be characterized by increased complexity, uncertainty, lethality, and technological advancements, requiring seamless sustainment across all domains. The proliferation of ...

In 1999, Bill Gates’s book Business @ the Speed of Thought predicted technology like the internet, email, and desktop business programs would transform industries. Gates argued that these tools should ...

In a pitch to investors last spring, Anthropic said it intended to build AI to power virtual assistants that could perform research, answer emails, and handle other back-office jobs on their own. The ...

The controller handles incoming requests and puts any data the client needs into a component called a model. When the controller's work is done, the model is passed to a view component for rendering.

Abstract: This paper provides a tutorial on the continuation/ GMRES method (C/GMRES), which is a real-time optimization algorithm tailored for nonlinear model predictive control (NMPC) and a Maple ...

Abstract: This tutorial paper provides a review of recent advances in the field of spacecraft rendezvous using model predictive control (MPC), an advanced optimal control strategy based on on-line ...