The Francis College of Engineering, Department of Electrical and Computer Engineering, invites you to attend a Master's Thesis defense by Eric Huynh on: "Sonar-Centric Perception for Underwater Robots ...
Tech Xplore on MSN
AI model could boost robot intelligence via object recognition
Stanford researchers have developed an innovative computer vision model that recognizes the real-world functions of objects, potentially allowing autonomous robots to select and use tools more ...
Tech Xplore on MSN
Newly developed knitting machine makes solid 3D objects
A new prototype of a knitting machine creates solid, knitted shapes, adding stitches in any direction—forward, backward and ...
Benzinga and Yahoo Finance LLC may earn commission or revenue on some items through the links below. Although Tesla (NASDAQ: TSLA) has been a driving force in the electric vehicle market for many ...
General Motors will record a negative impact of US$1.6 billion in its next quarter after tax incentives for electric vehicles were slashed by the US and rules governing emissions are relaxed. Shares ...
WASHINGTON — Dark, a French startup developing air-launched spacecraft technology to capture and dispose of orbital objects, has shut down operations after struggling to establish a sustainable ...
BYD’s ‘Super Hybrid’ vehicle comes with biofuel compatibility. The latest BYD powertrain innovation makes its debut in the SONG PRO COP30, a special edition that it says will be donated to the ...
Discover how the Womp 3D model generator simplifies product design. Generate models from text or images and print them easily ...
Physics is the search for and application of rules that can help us understand and predict the world around us. Central to physics are ideas such as energy, mass, particles and waves. Physics attempts ...
Katelyn is a writer with CNET covering artificial intelligence, including chatbots, image and video generators. Her work explores how new AI technology is infiltrating our lives, shaping the content ...
THT-Net: A Novel Object Tracking Model Based on Global-Local Transformer Hashing and Tensor Analysis
Abstract: The object point clouds acquired by the original LiDAR are inherently sparse and incomplete, resulting in suboptimal single object tracking (SOT) precision for 3D bounding boxes, especially ...
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