Uploaded January 2026 | Updated September 2026, 2 days ago
#AI
This is the last in a ten part podcast series focused on the ten most impactful developments in artificial intelligence expected to transition from limited use to infrastructure-level technology over the next five years.
Specifically, this podcast introduces the tenth and final topic, Quantum Accelerated Machine Learning (QAML) Services, describing it as a cloud-based offering using quantum processors for specialized machine learning tasks like sampling and optimization.
We outline QAML's current research phase (2025-2027), its projected niche commercial use by 2028-2029, and its expected impact on optimization-heavy industries such as logistics and finance. Furthermore, we cover the potential challenges, including hardware reliability and the cost-effectiveness of these early quantum systems.
Ultimately, the series concludes that by 2029, AI will evolve into an ecosystem of interoperable services that requires coordinated efforts across governments and enterprises to establish standards and ethical guidelines.
AI was used to assist in the creation of this video.
I'm not employed by, paid or sponsored by, any company mentioned in these videos, I'm just a fan of their products.
An index of all our YouTube videos can be found here.
gsfsoftware.co.uk/PBTutorials/Projects.htm
Music by ghosthack.de
#AI
This is the last in a ten part podcast series focused on the ten most impactful developments in artificial intelligence expected to transition from limited use to infrastructure-level technology over the next five years.
Specifically, this podcast introduces the tenth and final topic, Quantum Accelerated Machine Learning (QAML) Services, describing it as a cloud-based offering using quantum processors for specialized machine learning tasks like sampling and optimization.
We outline QAML's current research phase (2025-2027), its projected niche commercial use by 2028-2029, and its expected impact on optimization-heavy industries such as logistics and finance. Furthermore, we cover the potential challenges, including hardware reliability and the cost-effectiveness of these early quantum systems.
Ultimately, the series concludes that by 2029, AI will evolve into an ecosystem of interoperable services that requires coordinated efforts across governments and enterprises to establish standards and ethical guidelines.
AI was used to assist in the creation of this video.
I'm not employed by, paid or sponsored by, any company mentioned in these videos, I'm just a fan of their products.
An index of all our YouTube videos can be found here.
gsfsoftware.co.uk/PBTutorials/Projects.htm
Music by ghosthack.de
