Discover how to create a working model motorcycle using only cardboard and basic materials in this step-by-step tutorial. Learn the entire process, from crafting cardboard wheels and constructing the ...

Abstract: We present a sampling-based model predictive control method that uses a generic physics simulator as the dynamical model. In particular, we propose a Model Predictive Path Integral ...

Google today released its fast and cheap Gemini 3 Flash model, based on the Gemini 3 released last month, looking to steal OpenAI’s thunder. The company is also making this the default model in the ...

Children's Specialized Hospital reduces patient no-shows by 63% in a single clinic with SAS and partner Pinnacle Solutions CARY, N.C., Dec. 16, 2025 /PRNewswire/ -- SAS, a global leader in data and AI ...

CarGurus said Tuesday it has launched an artificial intelligence-powered used-car pricing tool that uses real-time consumer data from the auto shopping platform. The solution, called PriceVantage, is ...

Legal technology startup Theo Ai Inc. today announced it has raised $3.4 million in new funding led by Run Ventures, alongside plans to expand its artificial intelligence-powered litigation prediction ...

Enterprise software giant SAP SE is expanding its Business Data Cloud offering and doubling down on AI-ready data architectures, with product roll-outs and enhancements focused on bringing data and AI ...

The company remains tight-lipped on how it uses customer content to train its own AI model, which can generate layered designs that are easier to edit. Canva has built its own foundational AI model ...

Adobe has launched new AI image-generating tools at Adobe Max. Adobe Firefly Image Model 5 is the company's most capable model. The Prompt to Edit feature lets you edit images using natural language.

Chad Beam provides the ins and outs of the implementation of GIS, advanced communication systems and predictive modeling to ensure that staffing, to whatever extent, is utilized most effectively. A ...

The G8 tool showed a high specificity (85.1%) that makes it useful for minimizing false positives when predicting which patients would struggle with self-care. This could be particularly helpful in ...

Abstract: A back propagation neural network prediction method is designed for the predictive control of joint angles in pneumatic artificial muscles in this paper, aimed at improving trajectory ...