learning enabling-network-engineering-skills-in-an-ai-world 
Frost & Sullivan Manufacturing
FEBRUARY 7, 2024
San Antonio, TX — February 7, 2024 — Frost & Sullivan recently researched the industrial AI solutions industry and, based on its findings, recognizes Beyond Limits with the 2023 Global Enabling Technology Leadership Award.
Control Engineering
APRIL 27, 2023
Rather, they’re avian-inspired marvels that soar through the sky, guided by liquid neural networks to navigate ever-changing and unseen environments with precision and ease. These networks can then extract crucial aspects of a task (i.e., However, these aren’t typical flying bots, humming around like mechanical bees.
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Control Engineering
JULY 12, 2023
Learning Objectives Identify how to determine if your company is moving quickly enough with Industry 4.0 Control Engineering asked these questions and others about smart manufacturing and digital transformation to Jeff Winter, senior director industry strategy, manufacturing, Hitachi Solutions, and an industry expert on Industry 4.0
E&T
FEBRUARY 13, 2023
Generative AI art has exploded onto the scene over the past few months through advanced online platforms like DALL-E2, Midjourney and Stable Diffusion, which enable anyone with access to a smartphone or PC to create highly polished art by typing in simple text instructions.
Dinesh Mishra
MARCH 31, 2023
AI and sustainability – these are the key topics with which the Leading-Edge Cluster it’s OWL is presenting itself at this year’s Hannover Messe from the 17th to 21st April. This is precisely where the AI Marketplace comes in. Hella Gutmann Solutions, for example, shows how well the AI Marketplace works.
ATS
FEBRUARY 9, 2024
High-tech manufacturing considerations Process and technology mastery is just the price of admission to the high-tech manufacturing world. Challenges to manage include: Workforce skills: Sophisticated manufacturing equipment needs a skilled operations and maintenance workforce. Regulatory oversight is intense.
Control Engineering
JUNE 5, 2023
Robotics insights FluidLab is a simulation tool from researchers at the MIT CSAIL designed to enhance robot learning for complex fluid manipulation tasks. In contrast, most existing reinforcement learning methods lack that world model that just depends on trial and error. Hand you a latte? A robot can do that.
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