EVENTS
AI EVENTS IN CAMBRIDGE
DEEP LEARNING FOR BIOLOGICAL IMAGES WITH POWERAI VISION
19th November, 09:30 - 12:30
Sainsbury Laboratory
IBM's PowerAI Vision is an easy way to get you started and have a rapid assessment of what this powerful technique can do for your data.
PowerAI Vision can be used exclusively through the web interface to build and label data sets, train deep learning models, and even deploy them as public APIs. This software allows researchers with image data stores to rapidly build models for:
Image classification
Object detection
Object segmentation
Event recognition
No programming skills are required.
The first 30 persons registered (before 12th of November) will get an IBM account to test the software.
GAUSSIAN PROCESSES CAMBRIDGE: INAUGURAL MEETUP
20th November, 19:00 - 21:00
Hot Numbers Coffee
It's official, Gaussian Processes Cambridge is holding it's inaugural meeting on Wed November 20th! We are very much looking seeing you all at the Hot Numbers cafe on Gywdir Street. The agenda for the evening will be structured as follows:
7:00 | Arrival & drinks
7:30 | A practical introduction to Gaussian Processes and their biomedical applications (Dr. Michael Mayhew, Inflammatix)
8:15 | Q&A
8:30 | Audience survey to shape content for future meetings
9:00 | Drinks nearby (location tbc)
Some food will be provided during the course of the evening.
ETHICS AND REGULATION FOR MEDICAL DEVICES: MAKING AI AND SOFTWARE GOOD FOR CLINICAL USE
26th November, 18:30 - 20:00
Barclays Eagle Lab
We will look at the ethics of software medical devices, highlighting how this complements privacy, research ethics, medical device regulation, and good practice (GxP). The talk will present case studies where developers and clinicians went wrong, and are making potentially dangerous mistakes today, through examples from digital health and artificial intelligence. These will illustrate a framework that is widely applicable.The presentation will also discuss recent developments in EU software medical device regulation (MDR) and the new MDCG 2019-11.
BARCLAYS AI FRENZY - BREAKFAST
26th November, 09:30 - 10:30
Barclays Eagle Lab
We are hosting exclusive breakfast meetups once a month to bring together key individuals within Cambridge AI eco-system. These are opportunities for likeminded individuals to discuss any research, challenges, fears, limitations or ideas on how you can help shape your AI eco-system.
AI FRENZY - DIVERSITY & INCLUSION IN AI: IN PURSUIT OF INCLUSIVE AI
28th November, 17:30 - 20:30
Barclays Eagle Lab
Artificial intelligence is expected to have a tremendous impact on all of our working lives. Computers will be able to simulate intelligent behaviour and this may not only affect the work we do, but they may also be able to help reduce unconscious bias within organisations. In the age of advancements to technology, AI solutions are currently being implemented that have the potential to mitigate biases and, as a result, enable more diverse and inclusive workplaces within companies and organisations. We will examine the nature of diversity and inclusion, explore biases as an inhibitor to more diverse and inclusive workplaces, and provide insights into the role that AI can play in mitigating biases. We invite you to join us for an evening dedicated to discussing some of the latest advancements in AI technology and have the opportunity to hear from a leading experts.
DATA SCIENCE: FROM SYSTEM IDENTIFICATION TO (DEEP) LEARNING & BIG DATA
2nd December, 14:00 - 15:00
CUED, Lecture Room 11
Data science is a topic of great interest which has reached considerable current attention. It includes central research areas such as machine learning, deep learning and “big data”. Despite the extensive nomenclature and wide application areas associated with data science, it is stressed in this presentation that there are only a few central concepts. The use of data science to build mathematical model of dynamic systems – System Identification – is a useful template to illustrate and explain the basic concepts.
INCREASING THE SPEED AND DIVERSITY OF INVENTION WITH AI
4th December, 17:30 - 20:30
The Maxwell Centre
Rather than replace people, AI may be used to augment their abilities to achieve outcomes that are simply not possible without it. At Iprova, we use artificial intelligence technology to augment the human ability to invent. By combining the latest developments in machine learning and natural language processing with a vast data set of up-to-the minute social, market and technology advances around the world, the technology helps our inventors make unexpected connections. This results in diverse, disruptive and commercially relevant inventions across a wide range of technical domains.
BARCLAYS AI FRENZY - BREAKFAST
10th December, 09:30 - 10:30
Barclays Eagle Lab
We are hosting exclusive breakfast meetups once a month to bring together key individuals within Cambridge AI eco-system. These are opportunities for likeminded individuals to discuss any research, challenges, fears, limitations or ideas on how you can help shape your AI eco-system.
LEX EX MACHINA: A WORKSHOP ON LAW'S COMPUTABILITY
13th December, 9:00 - 17:00
Frankopan Hall, Jesus College
Advances in Artificial Intelligence (AI), Machine Learning (ML) and data science have reignited interest in applying computation to more aspects of legal process and decision-making. This is particularly evident in the development of various LegalTech applications to assist with the practice and business of law. However, the ubiquity of algorithmic decision-making (ADM) systems to replicate, and in some cases replace, human judges and decision-makers has attracted the greatest attention from scholars, media, and the public. While there are familiar concerns about the bias, transparency, and accountability of ADM systems, their inevitable totalisation is framed as a matter of resolving narrow computational puzzles, not addressing more fundamental questions about what they mean for the rule of law, deliberative democracy, and indeed, whether they should be built in the first place.
AI FAIRS 2019 FORUM FOR AI RESEARCH STUDENTS
16th December, 10:30 - 18:30
Peterhouse College
FAIRS'19 at AI-2019 will allow doctoral and MRes/MPhil students working on AI related projects to discuss their research and PhD experiences with senior academics in the field and with other Forum attendees. Students eligible to apply include those who have either completed a Master's degree in an AI field and who are interested in progressing to a PhD, or are current doctoral or research Masters students. The event will give students the opportunity to receive feedback in addition to the supervisory arrangements at their own institution.
AI-2019
17-19th December, 10:00 - 18:30
Peterhouse College
AI-2019 Thirty-ninth SGAI International Conference on Artificial Intelligence. This event is organised by the BCS Specialist Group on Artificial Intelligence (SGAI)
STUDENT EVENT: CRASSH FACT-CHECKING HACKATHON
10th January - 12th January, 10:00 - 16:00
James Dyson Building
Fake news, misinformation and disinformation are being created and circulated online with unprecedented speed and scale. There are concerns that this poses a serious threat to our modern digital societies by skewing public opinion about important issues and maliciously interfering with national election campaigns. Fact-checking is an increasingly vital approach for tackling the rapid spread of false claims online. Specifically, there is an urgent need for automated systems that detect, extract and classify incorrect information in real time; and linguistic analyses of argument structure, entailment, stance marking, and evidentiality can assist the development of such systems. We want to bring together people with different kinds of expertise to develop new approaches for tackling the problems posed by fake news, misinformation and disinformation. Taking an existing automated fact-checking system as a baseline, the main hackathon task will be to find ways of improving its performance. The experimental framework will be that used for the FEVER: Fact Extraction and VERification challenge (http://fever.ai).
MY START-UP JOURNEY: PROWLER.IO, ARTIFICIAL INTELLIGENCE FOR DECISION-MAKING
4th February, 19:00 – 20:30
Judge Business School
In this seminar, Vishal Chatrath (Co-founder and CEO) and Dr Dongho Kim (Co-founder and CTO) from PROWLER.io talk about their start-up journey, when and how they recognised the opportunity worth pursuing, how they successfully raised their funding and what continues to drive them? They will also cover what makes their Artificial intelligence for Decision-Making different from others.
