Remember, google deepmind tried to approach with their definition:
→ View original post on X — @kimmonismus, 2026-04-08 12:15 UTC
INNOVATION
-
Mastering Frontier AI Models Through Practical Workflow Integration
By
–
Here’s how to make frontier model progress exciting rather than scary: just surf the models. use their new capabilities to rebuild your workflows from scratch and make their new powers yours. learn how at every:
-
Google DeepMind’s Most Promising Approach
By
–
Google deepmind hast the most promising approach imho
-
MEMS Edge Processing Reduces Hardware for Bearing Fault Detection
By
–
Analog piezo accelerometers: sensor + data conditioner + processing + algorithms.
— Lucian Fogoros (@fogoros) 8 avril 2026
MEMS with edge processing: sensor + algorithms.
Same bearing fault detection, half the hardware.
Partner content with Tronics. #tronics_ai #HM26 pic.twitter.com/xhE6MTCGPEAnalog piezo accelerometers: sensor + data conditioner + processing + algorithms.
MEMS with edge processing: sensor + algorithms.
Same bearing fault detection, half the hardware.
Partner content with Tronics. #tronics_ai #HM26 -
MEMS Technology Enables Standardized Digital Data Processing
By
–
The MEMS approach delivers pre-processed digital data that works with standard processing methods.
-
Agent Architecture Cheatsheet: Workflow vs Single Agent
By
–
You don't need to overcomplicate your Agent Architecture. Do you also jump to multi-agent when a simple workflow would do the job faster, cheaper, and with far less debugging? I made a free Agent Architecture Cheatsheet to help you decide: – Workflow vs Single Agent vs
-
Mythos AI experience feedback from early users
By
–
Anyone has access to mythos and can let the rest of us plebs know what it feels like
-
Upcoming Improvements: Add Pothole Avoidance Feature
By
–
Upcoming Improvements: Add pothole avoidance.
-
AI/ML Models Built and Deployed in 12 Steps Guide
By
–
How AI/ML Models are Built and Deployed in 12 Steps? by @techyoutbe #ArtificialIntelligence #MachineLearning #ML #Technology
→ View original post on X — @ronald_vanloon, 2026-04-08 11:20 UTC