on-device AI

5 videos across 3 channels

Edge-based AI is accelerating both robotics and mobile intelligence. From Sonic’s multimodal teleoperation that translates human motion into robot action with safety and openness in its architecture, to Gemma 4’s capable on-device inference on iPhones for image and audio tasks without internet, the trend is toward private, responsive AI. New ideas like Engram’s data-pantry approach promise dramatic gains in efficiency and accuracy by precomputing and caching knowledge, reshaping how affordable, private AI systems perform at scale.

The Rise Of SLMs In 2026 | Future Of SLMs In AI Deployment  | SLMs vs LLMs Explained | Simplilearn thumbnail

The Rise Of SLMs In 2026 | Future Of SLMs In AI Deployment | SLMs vs LLMs Explained | Simplilearn

The webinar explains small language models (SLMs), how they differ from larger models, when to use them (including hybri

01:16:22
NVIDIA’s New AI Changed Robotics Forever thumbnail

NVIDIA’s New AI Changed Robotics Forever

The video introduces a multimodal teleoperated robot called Sonic, showing how a human’s movements are captured and tran

00:10:04
DeepSeek Just Fixed One Of The Biggest Problems With AI thumbnail

DeepSeek Just Fixed One Of The Biggest Problems With AI

The video explains how Engram, a new AI technique, acts like a pantry for precomputed data to drastically improve effici

00:09:46