Events

dEEbug Peer Tutoring  
Student

dEEbug peer tutoring for EE core courses
Tue Apr 20th, 2021
 (
10:00 am PDT
)

dEEbug Peer Tutoring  
Student

dEEbug peer tutoring for EE core courses
Tue Apr 20th, 2021
 (
9:30 am PDT
)

Optics & Electronics seminar: Playing Hide-and-Seek at the Nanoscale – Tailored Field Landscapes for Precise Particle Tracking and More  
Seminar

Peter Banzer (Univ of Graz)

Intensity, phase, and polarization of electromagnetic fields can be tailored to form bespoke distributions. This spatial structure of light is an intriguing playground.

[AP483] Playing Hide-and-Seek at the Nanoscale – Tailored Field Landscapes for Precise Particle Tracking and More
Mon Apr 19th, 2021
 (
12:00 pm PDT
)

Probability Seminar welcomes Mathav Murugan  
Seminar

Mathav Murugan (Univ of British Columbia)

TBA

TBA
Mon Apr 19th, 2021
 (
11:00 am PDT
)

dEEbug Peer Tutoring  
Student

dEEbug peer tutoring for EE core courses
Mon Apr 19th, 2021
 (
10:00 am PDT
)

dEEbug Peer Tutoring  
Student

dEEbug peer tutoring for EE core courses
Mon Apr 19th, 2021
 (
9:30 am PDT
)

dEEbug Peer Tutoring  
Student

Advising for EE Core Course(s): ENGR 40M

Peer Advising Hours:

dEEbug peer tutoring for EE core courses
Fri Apr 16th, 2021
 (
9:30 am PDT
)

dEEbug Peer Tutoring  
Student

Advising for EE Core Course(s): ENGR 40M

Peer Advising Hours:

dEEbug peer tutoring for EE core courses
Fri Apr 16th, 2021
 (
9:00 am PDT
)

SystemX presents "How to Compute with Schrödinger's Cat: An Introduction to Quantum Computing"  
Seminar

Eleanor Rieffel (NASA-Ames)

The success of the abstract model of computation, in terms of bits, logical operations, algorithms, and programming language constructs makes it easy to forget that computation is a physical process.

How to Compute with Schrödinger's Cat: An Introduction to Quantum Computing
Thu Apr 15th, 2021
 (
4:30 pm PDT
)

ISL Colloquium presents "Demystifying the Efficiency of Reinforcement Learning: Two Recent Stories"  
Seminar

Yuxin Chen (Princeton)

Reinforcement learning (RL), which is frequently modeled as sequential learning and decision making in the face of uncertainty, is garnering growing interest in recent years due to its remarkable success in practice.

Demystifying the Efficiency of Reinforcement Learning: Two Recent Stories
Thu Apr 15th, 2021
 (
4:30 pm PDT
)

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