Dense three-dimensional integration of photonics and electronics results in a high-speed (800 Gb s−1) data interface for semiconductor chips that features 80 communication channels and consumes only tens of femtojoules per transmitted bit.
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New Parkinson’s treatment developed at Stanford could help millions
Two of the first patients of adaptive Deep Brain Sitimulation (aDBS) Parkinson’s therapy and the neurologist who developed the care system share how life changes and how it doesn’t when receiving the groundbreaking new FDA-approved treatment mitigating the most disruptive symptoms of the progressive neurological disease, which still has no cure.
Speed of quantum entanglement is measured, but it’s too fast for humans to understand
In the past, events that took place in a flash were considered instantaneous. Yet modern experiments show that even when particles seem to shift in the blink of an eye, as with quantum entanglement, there are measurable intervals involved.
These findings spark questions about how electrons leave atoms or how entangled pairs form, opening avenues for precise control in various applications.
New device could capture electricity from Earth’s rotational dynamics
However, their idea faced skepticism because conventional physics suggested it was impossible. The established theories indicated that any generated voltage would be nullified by electron rearrangement.
However, these researchers questioned this assumption.
They experimented to see if they could create electricity by using a specially designed hollow magnetic cylinder to capture energy using the Earth’s magnetic field.
Next-generation AI hardware: 3D photonic-electronic platform boosts efficiency and bandwidth
Artificial intelligence (AI) systems promise transformative advancements, yet their growth has been limited by energy inefficiencies and bottlenecks in data transfer. Researchers at Columbia Engineering have unveiled a groundbreaking solution: a 3D photonic-electronic platform that achieves unprecedented energy efficiency and bandwidth density, paving the way for next-generation AI hardware.
The study, “3D Photonics for Ultra-Low Energy, High Bandwidth-Density Chip Data Links,” led by Keren Bergman, Charles Batchelor Professor of Electrical Engineering, is published in Nature Photonics.
The research details a pioneering method that integrates photonics with advanced complementary-metal-oxide-semiconductor (CMOS) electronics to redefine energy-efficient, high-bandwidth data communication. This innovation addresses critical challenges in data movement, a persistent obstacle to realizing faster and more efficient AI technologies.
Cortisol Increases During Aging: A Sign Of Low NAD?
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