Learning Center September 19, 2017

Active Silicon’s AI series – part 2: Artificial Intelligence and machine vision: the good, the bad and the ugly

Active Silicon’s AI series – part 2: Artificial Intelligence and machine vision: the good, the bad and the ugly

Plenty of books and movies have been created around the benefits and dangers of Artificial Intelligence (AI), since the first integrated chips were able to control complex systems back in the 1950s. Recently, Tesla and SpaceX entrepreneur Elon Musk and Facebook founder Mark Zuckerberg have engaged in a very public argument about the fundamental risks and opportunities of AI, triggered by Facebook reporting that they needed to stop an experiment where autonomous chatbots had developed their own inscrutable language by reinterpreting the meaning of English vocabulary.

The dark side was highlighted just last month by an open letter to the UN from Elon Musk and 115 other specialists across 26 countries, calling for an outright ban on autonomous weapons. The UK government, for one, appears to have listened and is adopting policies not to develop or use fully autonomous weapons.

Most essays on AI emphasize both its wonderful opportunities and its life-threatening risks. When IBM’s Deep Blue proved in 1997 that human intuition and experience from thousands of chess matches could no longer outperform a machine, it wasn’t only the philosophers who became anxious about the power of this technology. Today, software frameworks for machine learning are publicly available (e.g. https://www.tensorflow.org/), thus, each individual developer is in charge of the safety of their own experiments while political regulations are widely lacking, and probably ineffective.

However, at Active Silicon, we believe there are great opportunities being created by machine learning in conjunction with imaging; with new approaches in Deep Learning, known machine vision applications can be implemented much faster and previously insuperable problems can be solved. While following these developments closely, we expect engineers to take their responsibilities seriously and ensure the ethical utilization of any technological advancements.

Would you like to know more about the opportunities created by artificial intelligence in machine vision? Then please visit our blog regularly in the upcoming weeks as we publish more updates, or simply subscribe to our newsletter.

Latest News

See More News
Read More Event News
frame grabbers and cameras with the vision event logo
September 16, 2026

Countdown to VISION

With just 3 weeks to go, the countdown to VISION 2026 is on. We’re looking…

Read More Product News
Two cameras next to each other with a global shutter label
September 7, 2026

Two New Global Shutter Cameras added to Harrier Range

We’ve expanded our Harrier autofocus-zoom camera range with new 10x and 30x global shutter models,…

Read More Industry News
large fish swallowing a small fish and company logos on a blue background
September 2, 2026

Techno Horizon acquires Vital Vision

Techno Horizon Co. Ltd has announced that it has acquired 100% of the shares of…

Read More Learning Center
Close up camera lens focusing on two frame grabbers and the article title
September 1, 2026

Tech Focus: Choosing Between CoaXPress and CoaXPress over Fiber

CoaXPress has been a reliable interface in machine vision for years, especially where high bandwidth,…

Upcoming Events

See More Events
Read More about DroneX 2026 29-30 September 2026
Event announcement for DroneX 2026 - showing a drone, the show and the dates

DroneX 2026

London, UK

DroneX 2026 is a leading event connecting OEMs, software providers, supply chain innovators, operators, and regulators…

Read More about VISION 2026 6-8 October 2026
Announcement for VISION 2026 Machine Vision Show in Stuttgart

VISION 2026

Stuttgart, Germany

Active Silicon will once again be exhibiting at VISION 2026 and we look forward to…