Welcome to the forefront of industrial innovation, where artificial intelligence, machine learning and computer vision are transforming manufacturing. This transformative journey is more than just ...

MIT and Google DeepMind researchers have created an AI-driven robot that can turn ideas into physical objects with only simple text prompts ...

Learn how cloud-centralized, AI-powered vision systems are transforming traditional quality control by eliminating the need for costly, rigid and expertise-heavy setups. Find out how manufacturers can ...

Figure AI has unveiled HELIX, a pioneering Vision-Language-Action (VLA) model that integrates vision, language comprehension, and action execution into a single neural network. This innovation allows ...

Vision-language models (VLMs) are rapidly changing how humans and robots work together, opening a path toward factories where machines can “see,” ...

GeekWire chronicles the Pacific Northwest startup scene. Sign up for our weekly startup newsletter, and check out the GeekWire funding tracker and VC directory. by Taylor Soper on Oct 28, 2024 at 3:36 ...

Imagine a world where your devices not only see but truly understand what they’re looking at—whether it’s reading a document, tracking where someone’s gaze lands, or answering questions about a video.

Hugging Face Inc. today open-sourced SmolVLM-256M, a new vision language model with the lowest parameter count in its category. The algorithm’s small footprint allows it to run on devices such as ...

The rise in Deep Research features and other AI-powered analysis has given rise to more models and services looking to simplify that process and read more of the documents businesses actually use.

Vision language models (VLMs) have made impressive strides over the past year, but can they handle real-world enterprise challenges? All signs point to yes, with one caveat: They still need maturing ...

As I highlighted in my last article, two decades after the DARPA Grand Challenge, the autonomous vehicle (AV) industry is still waiting for breakthroughs—particularly in addressing the “long tail ...