Artificial Intelligence AI

In this live roundtable, panelists will discuss the evolving role of the design engineer in the era of machine learning; benefits and pitfalls of working with generative design; and what humans can learn from AI-proposed solutions.

OneClick from FARO offers fast, fully automated, high accuracy point cloud inspection of small- and medium-sized parts.

Consider more than cost when choosing a testing service provider partner. There are numerous considerations when evaluating a testing service and laboratory.

Facts & Figures on how companies are approaching digital disruption by using artificial intelligence and the IoT to connect the digital thread.

Data scientist Jerry Overton tells CAASE18 attendees why AI may be easier to implement than you think, and how it can benefit industry 4.0 and digital twin projects.

Why AI may be easier to implement than you think, and how it can benefit industry 4.0 and digital twin projects, from data scientist Jerry Overton's keynote at CAASE 18.

You can take your pick of revolutionary technologies changing the world today. In the field of design engineering, technologies like simulation, cloud computing, artificial intelligence, augmented reality, additive manufacturing and sensor-laden, connected products are just a few with society-altering promise.

The NetObjex Digital Twin Platform introduces search, data aggregation, and pluggable ID schemes.

CrowdFlower also changes name to Figure Eight.

A typical engineer can grasp the basics of deep learning tools in a day.

Stanford Center on Longevity's annual design challenge winning group from Virginia Tech University.

Announcements include the reveal of the GV100, the first workstation-class GPU based on the AI-powered Volta architecture.

The power to deliver real-time ray tracing and deep learning to the engineering workstation are some of this new GPU’s possibilities.

HP's new optimized machine learning performance configurations for HP Z8 and HP Z4 Workstations include the NVIDIA Quadro GV100, with 32 GB HBM2 memory and Tensor Cores to accelerate AI.

AI has begun to come into its own, making tremendous strides over the past few years. But for all its successes, applications of AI-like machine learning, neural networks and deep learning have been slow to find a place in electronic...