Looking to study engineering courses in Nigeria? Explore the most popular programmes and the leading universities shaping the ...
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 ...
The Francis College of Engineering, Department of Electrical and Computer Engineering, invites you to attend a Doctoral Dissertation Proposal defense by Masoumeh Farhadi Nia on: "Machine Learning for ...
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Internship: IIT Bhubaneswar launches Winter Internship Programme 2025, who can apply?
Bhubaneswar has announced the Winter Internship Program 2025 for college students across the country. This program will ...
Interesting Engineering on MSN
Neural implant tinier than a grain of salt tracks brain activity wirelessly for a year
C ornell researchers have built a neural implant so small it can balance on a grain of salt, yet powerful enough to ...
A hybrid Cessna 337 taxied down a Southern California runway and lifted into the air. The plane, a type commonly used as an air taxi between islands, had a traditional gas-powered motor in the nose ...
Cornell University researchers and collaborators have developed a neural implant so small that it can rest on a grain of salt ...
A recent study from Oregon State University estimated that more than 3,500 animal species are at risk of extinction because ...
Mohapatra’s goal is to design robust deep learning frameworks capable of adapting to practical sensing scenarios in healthcare, continuous sensing, and audio domains.
Memristors — short for “memory resistors” — are the brainlike workhorses of neuromorphic computing, capable of learning from previous electrical states. Traditional versions are made of silicon or ...
Cornell researchers and collaborators have developed a neural implant so small that it can rest on a grain of salt, yet it ...
A neural interface framework integrating L2 regularization with attention supervision paradigms achieves 96.87% classification accuracy in EEG ...
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