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business#force feedback📝 BlogAnalyzed: Jan 21, 2026 22:15

EXOS: Force Feedback Device Finds New Life in the Age of Physical AI

Published:Jan 21, 2026 22:00
1 min read
ASCII

Analysis

Diver-X's acquisition of the EXOS force feedback device's business license is a fantastic example of technology finding its perfect niche! This innovative device, initially ahead of its time for XR, is now poised for success in the exciting world of physical AI, opening up amazing possibilities.
Reference

“Diver-X acquired the business license for the EXOS force feedback device.”

PermalinkASCII
business#agent📝 BlogAnalyzed: Jan 10, 2026 05:38

Agentic AI Interns Poised for Enterprise Integration by 2026

Published:Jan 8, 2026 12:24
1 min read
AI News

Analysis

The claim hinges on the scalability and reliability of current agentic AI systems. The article lacks specific technical details about the agent architecture or performance metrics, making it difficult to assess the feasibility of widespread adoption by 2026. Furthermore, ethical considerations and data security protocols for these "AI interns" must be rigorously addressed.
Reference

“According to Nexos.ai, that model will give way to something more operational: fleets of task-specific AI agents embedded directly into business workflows.”

PermalinkAI News
Research#Exoskeletons🔬 ResearchAnalyzed: Jan 10, 2026 09:39

Personalized Exoskeleton Training: Limited Impact on User Experience, Study Suggests

Published:Dec 19, 2025 10:23
1 min read
ArXiv

Analysis

This pilot study investigates the relationship between personalized gait patterns in exoskeleton training and user experience. The findings suggest that subtle adjustments to gait may not significantly alter how users perceive their training, which is important for future design.
Reference

“The study suggests personalized gait patterns may have minimal effect on user experience.”

PermalinkArXiv
Technology#Machine Learning📝 BlogAnalyzed: Dec 29, 2025 08:35

Accessible Machine Learning for the Enterprise Developer with Ryan Sevey & Jason Montgomery

Published:Nov 20, 2017 21:03
1 min read
Practical AI

Analysis

This article summarizes a podcast episode from Practical AI featuring Ryan Sevey and Jason Montgomery, founders of Nexosis. The discussion centers around their journey applying machine learning (ML), starting with identifying cheaters in video games and progressing to time-series data analysis and the Nexosis Machine Learning API. The episode originates from the Strange Loop conference, a developer-focused event. The article promotes the Nexosis API, encouraging listeners to obtain a free key and explore its capabilities for their projects. The focus is on making ML accessible to enterprise developers.
Reference

“They invite you to get your free Nexosis API key and discover what they can bring to your next project at nexosis.com/twiml.”

PermalinkPractical AI