<< Friday, July 19, 2019 >>

Friday, July 19, 2019

FOSS Variables and Designs Institute (Middle School)

Workshop | July 18 – 19, 2019 every day | 8:30 a.m.-4:30 p.m. |  Lawrence Hall of Science

 FOSS Program Staff, Full Option Science System (FOSS)

 Lawrence Hall of Science (LHS)

Join the FOSS development team at the Lawrence Hallof Science introducing the brand new FOSS Variables and Design Next Generation 4-week course for grades 5–8 science or engineering classes.

$175 For each participant in the team. Registration is limited to 40 participants.

  Registration opens March 20. Register online or or by emailing Jasmine Lopez at lopezj@berkeley.edu by May 20.

Integral Taiji and Qigong

Workshop | July 19 | 11 a.m.-12 p.m. |  UC Botanical Garden

 Botanical Garden

You are invited to participate in Integral Taiji & Qigong classes at the UC Botanical Garden. Our classes will focus on somatic, psycho-spiritual, ecological, and cosmological dimensions of taiji (tai chi) and qigong.

Free with Garden Admission

  Register online or by calling 510-664-7606

Nanomaterials and Nanosystems for Catalytic, Energy and Biomedical Applications

Seminar | July 19 | 11 a.m.-12 p.m. | 120 Latimer Hall

 Professor Jackie Y. Ying, Institute of Bioengineering and Nanotechnology

 College of Chemistry

Abstract: Nanostructured materials can be designed with sophisticated features to fulfill the complex requirements of advanced material applications. This talk describes the synthesis of metallic, metal oxide and semiconducting nanocrystals of controlled size, morphology and architecture. The nanocrystalline building blocks are used to create multifunctional systems with excellent dispersion and...   More >

Solid State Technology and Devices Seminar: Conventional silicon transistor and spintronic based implementation of neural network algorithms in analog hardware

Seminar | July 19 | 1-2 p.m. | 250 Sutardja Dai Hall

 Debanjan Bhowmik, Professor, Department of Electrical Engineering, Indian Institute of Technology Delhi

 Electrical Engineering and Computer Sciences (EECS)

I shall discuss implementation of both non-spiking algorithms, which are widely used by the machine learning community, and spiking algorithms, which are based on biological data about neurons and synapses in the brain, in our proposed hardware systems.