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An auto factory worker can remember the storage bin where she left a partly assembled component the night before, and quickly return to that spot to pick it up. But robots that may work side-by-side with her would struggle to develop and access this same type of “spatiotemporal” memory.Now, MIT researchers have developed a long-term […]
Jinhua Zhao MCP ’04, SM ’04, PhD ’09 has been appointed head of the Department of Urban Studies and Planning (DUSP), effective July 1. Zhao is the Class of 1941 Professor of Cities and Transportation at MIT.In making the announcement, dean of the MIT School of Architecture and Planning Hashim Sarkis noted that Zhao is a renowned
Jinhua Zhao named head of the Department of Urban Studies and Planning Read More »
LG is currently engaged in exploratory discussions with NVIDIA concerning physical AI, data centres, and mobility. Following a meeting in Seoul between LG CEO Ryu Jae-cheol and Madison Huang, Senior Director of Product Marketing for Omniverse and Robotics at NVIDIA, the core operational dependencies required to run complex automated systems are becoming apparent. While the
What LG and NVIDIA’s talks reveal about the future of physical AI Read More »
A total of 31 companies joined The Crunchbase Unicorn Board in January, the largest count of companies to join in a single month since June 2022. Collectively, those companies added $9.3 billion in funding and $58.5 billion in value to the board. And underlining the pace at which some startups are now sprinting to billion-dollar-plus
January Delivers Highest New Unicorn Count In More Than 3 Years Read More »
In the automotive domain, ADAS annotation enables the integration of multiple levels of autonomy, ranging from basic features such as lane-keeping and adaptive cruise control to fully autonomous cars. It involves labeling images, videos, LiDAR, and sensor data collected from vehicles, offering multiple levels of autonomy that range from basic features. This blog explains how
Top 5 ADAS Annotation Service Providers for Autonomous Vehicles Read More »
A robot searching for workers trapped in a partially collapsed mine shaft must rapidly generate a map of the scene and identify its location within that scene as it navigates the treacherous terrain.Researchers have recently started building powerful machine-learning models to perform this complex task using only images from the robot’s onboard cameras, but even
