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Topic: technology

Seminar
2 seminars
Job
1 job
Grant
1 grant

In Architectural Engineering and Artificial Intelligence

Job · Engineering

Doctoral Fellowships in Architecture and Technology

Closes

Pursue doctoral research connecting architecture and technology within the Institute of Technology in Architecture. Applicants should identify relevant professorships and demonstrate how their research interests fit the institute. The programme offers three and a half years of funding through full-time employment with a monthly salary. Incomplete application packages will not be considered. Apply through the ETH online recruitment portal. Application deadline: 2027-01-31.

Grant · Physics

2027 NSERC Awards for Science Promotion

Natural Sciences and Engineering Research Council of Canada

Closes

Recognises sustained public engagement with natural sciences, engineering, mathematics and technology outside formal education. One individual and one group may receive CAD 10,000 and CAD 25,000 respectively to support further science promotion in Canada. The nominal 15 November 2026 deadline falls on Sunday; the published next-working-day rule makes the effective deadline 16 November 2026 before 20:00 Eastern Time.

Seminar · Psychology

Digital Minds: Brain Development in the Age of Technology

Eva Telzer · Winston National Center on Technology Use, Brain and Psychological Development

Mon, Feb 17, 2025 · 20:00 UTC

Digital Minds: Brain Development in the Age of Technology examines how our increasingly connected world shapes mental and cognitive health. From screen time and social media to virtual interactions, this seminar delves into the latest research on how technology influences brain development, relationships, and emotional well-being. Join us to explore strategies for harnessing technology's benefits while mitigating its potential challenges, empowering you to thrive in a digital age.

Seminar · Machine Learning

Protecting Machines from Us

Pelonomi Moila · Nedbank

Wed, Sep 23, 2020 · 17:30 UTC

The possibilities of machine learning and neural networks in particular are ever expanding. With increased opportunities to do good, however there are just as many opportunities to do harm and even in the case that good intentions are at the helm, evidence suggests that opportunities for good may eventually prove to be the opposite. The greatest threat to what machine learning is able to achieve and to us as humans, is machine learning that does not reflect the diversity of the users it is meant to serve. It is important that we are not so pre-occupied with advancing technology into the future