What we're about

PMLG is sponsored by Western Power, AWS, Tank Stream Labs, Microsoft and Bankwest.

This group is for anyone interested in learning to code practical Machine Learning applications with a strong emphasis on deep learning. We loosely follow the Jeremy Howard Fast.Ai course with a remit of peer learning through sharing with your peers.

Our group covers a wide field of AI and data science techniques which we encourage people to explore by participating in solving real world problems.

All skill levels are welcome but you must be prepared to try your hand at coding and importantly share your learning experience.

Website: https://www.pmlg.org

github: https://github.com/pmlg/pmlg.github.io

Twitter: @PerthMLGroup

Values

In attending PMLG you agree to abide by PMLGs values as defined here https://www.pmlg.org/about (https://www.pmlg.org/)

Privacy Statement

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During meetings and events, we may take photographs or create video recordings at any time in connection with the meetup activities. By attending our meetup, you agree that we can use the photographs or recordings for any purpose and at any time, including on our website, in our publicity or in our publications. If you do not agree please let us know before or during the meeting.

General Advice Warning

The information provided on and through all PMLG media, correspondence and events is general in nature only and does not constitute personal advice. The information has been prepared without taking into account your personal objectives, situation or needs. Before acting on any information on this website you should consider the appropriateness of the information having regard to your objectives, situation and needs. Therefore, before you decide to act on any information, buy any product or keep or cancel a similar product that you already hold. Before making any decision, it is important for you to consider these matters and to seek appropriate technical, legal, tax, and other professional advice.

DISCLAIMER

All statements made by PMLG are made in good faith and we believe they are accurate and reliable. PMLG does not give any warranty as to the accuracy, reliability or completeness of information that is contained in its media, except in so far as any liability under statute cannot be excluded. PMLG, its directors, employees and their representatives do not accept any liability for any error or omission in any PMLG media, correspondence or events or for any resulting loss or damage suffered by the recipient or any other person. Unless otherwise specified, copyright of information provided on PMLG media are the property of PMLG.

Upcoming events (2)

Michael Clark: "Can a robot pick soft fruit: requirements and simulation"

*** This will be an in-person, networking, and social event. Please RSVP for catering purposes. ***

Many soft fruit are still picked by humans. Can a robot do it instead?

In the first half of this talk lets look at the technical requirements, heavily drawing from this 2010 paper (https://core.ac.uk/reader/38943040).

Once we have defined the task requirements, lets ask: Is reinforcement learning up to the task? If it can't do it in a simulator, then it can't do it in the (more expensive) real world. Since no simulator exists, lets build one.

The second part of this talk will share the experience of building a simple pybullet simulator for apple picking. The simulator is basic but includes a random tree, and a robot that must navigate around the branches using a camera.

The code for the simulator will be released on github, in an unpolished form, for anyone who wants and is brave enough to use it.

Finally, we will brainstorm about why it didn't work. This part will likely have some good suggestions or at least some good heckling.

Speaker bio:
Mike has a MSc from Victoria University and a BSc (Hons) in Physics from the University of Canterbury in New Zealand. Before working in machine learning Michael Clark worked in oil and gas. He now works as a director at Three Springs Technology who focus on world class machine learning for medical imaging.

Rundown:
5.30 pm networking
6.00 pm Welcome and presentation
6.45 pm continue networking (snacks and beverage will be served)
8.00 pm event finishes, we hope to see you in the future event

Thanks to Three Springs Technology for sponsoring food and drinks for this non alcohol event.

David Wilson presents can a robot infringe other peoples’ intellectual property?

*** This will be an in-person event on TUESDAY evening. Please provide your full name for contact tracing purposes. ***

Rundown:
5.45 pm networking
6.00 pm Welcome and presentation
7.00 pm Networking
7.45 pm Event ends

Talk description:
This presentation discusses the flip-side of my February presentation topic, “Does anybody own intellectual property rights in a robot’s creations?”. This time, let’s discuss whether a robot can infringe on someone else’s intellectual property rights.

Machine learning requires data or content input for learning to occur. What if that content is the subject of intellectual property protection?

This presentation will discuss the implications, and how to navigate through this emerging legal issue.

Speaker bio:
David Wilson is the founder and principal of Stratocumulus Legal, a newly established legal consultancy with a particular focus on intellectual property, technology and related fields.
Prior to commencing Stratocumulus Legal in May 2020, he had 20-odd years’ career experience at international law firms, building up a significant breadth of legal experience as an intellectual property and technology lawyer, a commercial disputes practitioner, a generalist commercial legal advisor and an in-house counsel for a two-year period on secondment to a major Japanese corporation in Tokyo.
Across his career, David has advised on the subsistence, proprietorship, exploitation, licensing, assignment and infringement of intellectual property rights including copyright and moral rights, patents, trademarks, domain names and business names, designs, confidential information, trade secrets and data. He has undertaken this work across a range of sectors, including software and IT. His legal interests include the law and new technologies, such as automation and 3D-printing.

Past events (279)

Camilo Pestana presents Adversarial Attacks in 3D Models

Tank Stream Labs

Photos (230)

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