Search: robotics | CurrentLens.com

AI Creative

Nanoleaf Shifts Focus from Smart Lighting to AI and Robotics

CurrentLens
May 8, 2026

Nanoleaf is pivoting towards embodied AI and wellness products, moving beyond its lighting roots.

Chips & Infrastructure

NVIDIA Optimizes Jetson for Empowering Physical AI with Enhanced Memory Efficiency

CurrentLens
Apr 26, 2026

NVIDIA reveals enhancements in Jetson's memory management, enabling larger AI models at the edge.

Models & Launches

DeepMind Ships Gemini Robotics‑ER 1.6 for Physical Robot Reasoning

CurrentLens
Apr 15, 2026

Gemini Robotics‑ER 1.6 adds instrument-reading plus improved visual, spatial and planning skills to DeepMind's embodied-reasoning model for robots.

Latest
Trending

Science & Healthcare

Africa CDC and WHO launch $518M continental Ebola response plan

CurrentLens
Jun 6, 2026

A six-month 'One Response' plan targets the Bundibugyo Ebola outbreak with unified coordination, surveillance, clinical care and community engagement across affected countries.

Policy & Safety

HASC adds right-to-repair language to FY27 defense policy bill

CurrentLens
Jun 6, 2026

The House Armed Services Committee inserted right-to-repair provisions into its FY27 defense policy draft, aiming to ease barriers that limit troops' ability to fix equipment.

AI Creative

Startups Pull Users Off Phones With In-Person Games and DIY Cyberdecks

CurrentLens
Jun 6, 2026

TechCrunch highlights founders building physical social products: Board raised funding for in-person games, and cyberdeck DIYs are going viral.

Agents & Automation

MicroPython WASM Sandbox Enables Safer Datasette Plugin Execution

CurrentLens
Jun 6, 2026

Simon Willison published an alpha MicroPython-in-WASM sandbox (micropython-wasm) and a Datasette plugin (datasette-agent-micropython) to run plugin code with constrained access.

Models & Launches

DKPS method cuts model-evaluation queries using cached responses

CurrentLens
Jun 6, 2026

An arXiv paper introduces a DKPS-based approach that uses cached model outputs to predict benchmark scores while substantially reducing the number of queries.