University of Cambridge > Talks.cam > Cambridge University Physics Society > Third Generation Machine Intelligence

  Browse A-Z

Log in

University Account External (via Google)

🔐 Log In

Information on

Subscribing to talksdetails Finding a talkdetails Adding a talkdetails Disseminating talksdetails Help and Documentationdetails

ℹī¸ Information

Third Generation Machine Intelligence

Download to your calendar using vCal

If you have a question about this talk, please contact Rebecca Bowler .

he first successful applications of machine intelligence were based on expert systems constructed using rules elicited from human experts. Limitations in the applicability of this approach helped drive the second generation of machine intelligence methods, as typified by neural networks, which can be characterised as black-box statistical models fitted to large data sets. In this talk I will describe a new paradigm for machine intelligence which has emerged over the last five years, and which allows strong prior knowledge from domain experts to be combined with machine learning techniques to enable a new generation of large-scale applications. The talk will be illustrated with tutorial examples as well as real-world case studies.

This talk is part of the Cambridge University Physics Society series.

This talk is included in these lists:

Note that ex-directory lists are not shown.

Other lists

Meeting Rooms 1&2, MRC Epidemiology Unit, Level 3, Institute of Metabolic Science, Cambridge Biomedical Campus, Cambridge CB2 0QQ Lecture Room 3, Judge Business School, University of Cambridge Average on weekdays: 9201.7259887 kWh

Other talks

Loke CTR Annual Meeting 2026 - Epigenetics of embryogenesis and placentation Title to be confirmed Washing machines and their rare components: lessons from kidney patients Title TBC Title to be confirmed The physics of decision: how competitive systems compute, route, and remember
 

Š 2006-2025 Talks.cam, University of Cambridge. Contact Us | Help and Documentation | Privacy and Publicity