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DTSTAMP:20261022T084326Z
UID:80240E24-5A57-4B15-BD01-F77889EE3C45
DTSTART;TZID=Europe/Warsaw:20261022T080000
DTEND;TZID=Europe/Warsaw:20261022T103000
DESCRIPTION:Chip-based photonics for ultra-high-speed computing (8.00 – 9
 .15 am)\nKey calculations which are required for AI\, machine learning\, a
 nd neuromorphic computing include matrix\nmultiplication and nonlinearitie
 s such as the sigmoid curve or ReLU. In this talk\, I&#39;ll show how\, in pri
 nciple\, both of\nthese steps can be carried out in photonics rather than 
 with electronics. I&#39;ll describe how and why photonic computing\ncan yield 
 up to three orders of magnitude faster computation than GPUs while consumi
 ng much less power. I will\ndescribe my group&#39;s work in creating photonic 
 neurons and photonic Ising processors. I&#39;ll also describe the challenges\n
 that all photonic computing schemes face\, along with advantages and disad
 vantages that originate from the\nunderlying physics.\n\nUltra-thin solar 
 cells and quadcopter drones (9.20 – 10.30 am)\nWe have built and tested 
 several solar power drones over the past 20 years. In 2018\, our team was 
 the first in the\nworld to achieve 100% solar flight in a rotorcraft\, and
  earlier this year\, the maximum flight time we achieved reached\nover 4 h
 ours with no battery on board. In this talk\, I will discuss the engineeri
 ng challenges associated with solar power\nrotorcraft\, and show several v
 ideos of various aircraft that we have built and flown over the years. I w
 ill also discuss\nthe ultra-thin solar cells which we fabricate here in Si
 ngapore for this application\, along with the unique challenges\nthey pose
 .\n\nSpeaker(s): Prof. Aaron Danner\, \n\nRoom:  103 lecture hall\, Bldg: 
 D-1\, AGH University\, Av. Mickiewicza 30\, Krakow\, Malopolskie\, Poland\
 , 30-059
LOCATION:Room:  103 lecture hall\, Bldg: D-1\, AGH University\, Av. Mickiew
 icza 30\, Krakow\, Malopolskie\, Poland\, 30-059
ORGANIZER:kasinski@agh.edu.pl
SEQUENCE:42
SUMMARY:Prof. Aaron Danner - Chip-based photonics for ultra-high-speed comp
 uting &amp; Ultra-thin solar cells and quadcopter drones
URL;VALUE=URI:https://events.vtools.ieee.org/m/586045
X-ALT-DESC:Description: &lt;br /&gt;&lt;p&gt;&lt;strong&gt;Chip-based photonics for ultra-hig
 h-speed computing (8.00 &amp;ndash\; 9.15 am)&lt;/strong&gt;&lt;br&gt;Key calculations whi
 ch are required for AI\, machine learning\, and neuromorphic computing inc
 lude matrix&lt;br&gt;multiplication and nonlinearities such as the sigmoid curve
  or ReLU. In this talk\, I&#39;ll show how\, in principle\, both of&lt;br&gt;these s
 teps can be carried out in photonics rather than with electronics. I&#39;ll de
 scribe how and why photonic computing&lt;br&gt;can yield up to three orders of m
 agnitude faster computation than GPUs while consuming much less power. I w
 ill&lt;br&gt;describe my group&#39;s work in creating photonic neurons and photonic 
 Ising processors. I&#39;ll also describe the challenges&lt;br&gt;that all photonic c
 omputing schemes face\, along with advantages and disadvantages that origi
 nate from the&lt;br&gt;underlying physics.&lt;/p&gt;\n&lt;p&gt;&lt;br&gt;&lt;strong&gt;Ultra-thin solar 
 cells and quadcopter drones (9.20 &amp;ndash\; 10.30 am)&lt;/strong&gt;&lt;br&gt;We have b
 uilt and tested several solar power drones over the past 20 years. In 2018
 \, our team was the first in the&lt;br&gt;world to achieve 100% solar flight in 
 a rotorcraft\, and earlier this year\, the maximum flight time we achieved
  reached&lt;br&gt;over 4 hours with no battery on board. In this talk\, I will d
 iscuss the engineering challenges associated with solar power&lt;br&gt;rotorcraf
 t\, and show several videos of various aircraft that we have built and flo
 wn over the years. I will also discuss&lt;br&gt;the ultra-thin solar cells which
  we fabricate here in Singapore for this application\, along with the uniq
 ue challenges&lt;br&gt;they pose.&lt;/p&gt;
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