Connectivity - AI+-+Machine+Learning Features

Transforming interconnects in AI Systems: The role of co-packaged optics (CPO)

In recent years, there has been a noticeable trend in optical transceiver technology, moving toward bringing the transceiver closer to the ASIC. Traditionally, pluggable optics — optical modules inserted and removed from the front panel of a switch — have been located near the edge of the printed circuit board (PCB).

How manufacturing companies can avoid falling into the growing gap between AI hype and adoption

Manufacturers face growing pressure to quickly produce increasingly complex and higher-quality products to meet customer demand. While AI appears to be a logical solution, the reality is that up to 80 percent of AI projects either never reach completion or don’t meet their objectives, resulting in failure or cancellation.

Is AI in marketing a sword or a shield?
- AI - Machine Learning
- (06/08/2024)
In their seminal book, the Fall of Advertising and the Rise of PR, Al Ries and Laura Ries famously describe PR as a sword and advertising as a shield.
The data challenge for AI applications in quality inspection: How important is domain-specific data?
- AI - Machine Learning
- (26/06/2024)
AI tools like ChatGPT were trained using open-source material. What happens if your AI application requires domain-specific data that its locked away behind a wall of secrecy? .

State of smart manufacturing study shows UK leading the AI/ML charge for enhanced productivity
- AI - Machine Learning
- (10/06/2024)
Rockwell Automation's 9th annual global research report, 'State of Smart Manufacturing Report', has highlighted how artificial intelligence is being deployed to give the workforce superpowers and build resiliency in operations.
Autonomous flying in a swarm
- AI - Machine Learning
- (05/06/2024)
For more than 15 years, the Festo Bionic Learning Network has been focusing on the fascination of flying.

Top trends impacting the industrial workforce
- AI - Machine Learning
- (03/05/2024)
As industrial technology trends change and adapt in the wake of digital transformation, I wanted to look at what’s changing for the most important asset in an industrial setting, the human workforce.
Three layers of predictive maintenance
- AI - Machine Learning
- (26/04/2024)
The key difference between preventive maintenance and predictive maintenance is that the latter means completing maintenance only when needed, as opposed to scheduled intervals.