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NanoManufacturing

Michael De Volder, Engineering Department - IfM
 
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This is a superlist of research seminars in Cambridge open to all interested researchers. Weekly extracts of this list (plus additional talks not yet on talks.cam) are emailed to a distribution list of over 200 Cambridge researchers by Research Services Division. To join the list click here https://lists.cam.ac.uk/mailman/listinfo/biophy-cure For more information see http://www.cure.group.cam.ac.uk or email drs45[at]rsd.cam.ac.uk
Updated: 28 min 23 sec ago

Mon 23 Jun 14:00: Title to be confirmed

Thu, 15/05/2025 - 13:03
Title to be confirmed

Abstract not available

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Mon 16 Jun 14:00: Title to be confirmed

Thu, 15/05/2025 - 13:03
Title to be confirmed

Abstract not available

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Fri 23 May 12:00: What If We Succeed?

Thu, 15/05/2025 - 12:41
What If We Succeed?

Many experts claim that recent advances in AI put artificial general intelligence (AGI) within reach. Is this true? If so, is that a good thing? Alan Turing predicted that AGI would result in the machines taking control. I will argue that Turing was right to express concern but wrong to think that doom is inevitable. Instead, we need to develop a new kind of AI that is provably beneficial to humans. Unfortunately, we are heading in the opposite direction and we need to take steps to correct this. Even so, questions remain about whether human flourishing is compatible with AGI .

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Mon 09 Jun 15:00: Title to be confirmed

Thu, 15/05/2025 - 12:17
Title to be confirmed

Abstract not available

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Thu 29 May 17:00: Universal Diophantine Equations in Isabelle

Thu, 15/05/2025 - 11:55
Universal Diophantine Equations in Isabelle

If you have a question about this talk, please contact Anand Rao Tadipatri.

=== Hybrid talk ===

Join Zoom Meeting https://cam-ac-uk.zoom.us/j/89856091954?pwd=Bba77QB2KuTideTlH6PjAmbXLO8HbY.1

Meeting ID: 898 5609 1954 Passcode: ITPtalk

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Thu 22 May 17:00: Completeness Theorems for Variations of Higher-Order Logic RESCHEDULED

Thu, 15/05/2025 - 11:35
Completeness Theorems for Variations of Higher-Order Logic

Mike Gordon’s Higher-Order Logic (HOL) is one of the most important logical foundations for interactive theorem proving. The standard semantics of HOL , due to Andrew Pitts, employs a downward closed universe of sets, and interprets HOL ’s Hilbert choice operator via a global choice function on the universe.

In this talk, I introduce a natural Henkin-style notion of general model corresponding to the standard models. By following the Henkin route of proving completeness, I discover an enrichment of HOL deduction that is sound and complete w.r.t. these general models. Variations of my proof also yield completeness results for weaker deduction systems located between standard and (fully) enriched HOL deduction, relative to less constrained models.

=== Online talk ===

Join Zoom Meeting https://cam-ac-uk.zoom.us/j/89856091954?pwd=Bba77QB2KuTideTlH6PjAmbXLO8HbY.1

Meeting ID: 898 5609 1954 Passcode: ITPtalk

RESCHEDULED

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Fri 23 May 16:00: WalkEar: Estimating ground reaction forces and gait parameters from commodity ear-worn wearables

Thu, 15/05/2025 - 10:31
WalkEar: Estimating ground reaction forces and gait parameters from commodity ear-worn wearables

Gait is a key health metric, sometimes described as the sixth vital sign. Temporal, spatial and kinetic gait parameters are valuable in enhancing sport performance and early health diagnostics of health conditions such as Parkinson’s disease. Full gait assessment requires a gait clinic and existing wearable gait tracking systems typically measure isolated subsets of parameters tailored to specific applications. This is useful when the condition to be monitored is known but fails to offer a comprehensive view of an individual’s gait traits when their pathology is unknown or changing, or a general assessment is required. To support holistic walking gait tracking, we introduce WalkEar a sensing platform designed to simultaneously track a set of walking gait parameters using commodity ear-worn wearables. WalkEar operates by detecting gait events using them to derive temporal gait parameters and segment the IMU data. We then use regression techniques to predict kinetic gait parameters and estimate the full vertical reaction force. Each parameter is calculated on a step-to-step basis to enable assessment of gait variability and asymmetry. We developed an earbud prototype and collected data from 30 subjects using gold standard force plates and instrumented treadmill ground truth. Experiments show strong agreement between our system and the ground truth showing the promise of using ubiquitous earbuds for continuous gait monitoring.

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Tue 20 May 15:30: Building Organizational Resilience with AI Malfunction Drills

Thu, 15/05/2025 - 10:17
Building Organizational Resilience with AI Malfunction Drills

AI systems malfunction — and when they do, a human is typically held responsible for identifying and correcting this malfunction, yet they are rarely trained to do so. In this talk, I will advocate for AI malfunction drills: training exercises that would expose participants to simulations of realistic AI system failures in a controlled setting. These exercises would provide a safe environment for the users and operators of an AI system to practice detecting and resolving AI malfunctions.

Rosco Hunter is a PhD student at the University of Warwick with a background in Maths and Computer Science. His PhD research focuses on how automation can streamline the design and governance of AI systems (e.g., using automation for hyper-parameter optimisation and scalable risk management).

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Wed 28 May 16:00: Title to be confirmed

Thu, 15/05/2025 - 09:12
Title to be confirmed

Abstract not available

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Wed 21 May 11:30: Autism in Midlife and Older Age

Thu, 15/05/2025 - 08:24
Autism in Midlife and Older Age

Ageing in autism is a neglected area of research, accounting for less than 1% of all indexed autism research pre-2022. Gavin will begin by discussing how historic changes to the diagnostic criteria of autism has resulted in upwards of 90% of autistic people over 50 being undiagnosed. He will then discuss how different but complementary conceptual approaches can be used to examine ageing in autism (i.e., dimensional trait-based approaches and categorical diagnosis-based approaches). Using these different but complimentary approaches, he will share a high-level overview of some recent empirical research findings from a range of studies related to cognition, health, wellbeing, and life experiences. These studies will be pieced together to create a broad picture of where support can be provided to improve the quality of life and outcomes of ageing autistic people, to ensure they live long and happy lives.

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Thu 15 May 09:00: Cambridge Information Theory Colloquium

Wed, 14/05/2025 - 22:49
Cambridge Information Theory Colloquium

There will be four talks. Details here: https://lsit2025.eng.cam.ac.uk/#programme

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Tue 27 May 13:10: “Why we should stop talking about ‘Christians’ in connection with the New Testament”

Wed, 14/05/2025 - 19:11
“Why we should stop talking about ‘Christians’ in connection with the New Testament”

Many people think of the New Testament as a set of Christian texts that provide information about the authors’ views on being Christian. There are problems with talking about “Christians” in connection with the New Testament, however. This talk will explore some of those problems, drawing on my research on the letters of the apostle Paul. It will discuss how reading through the lens of “Christians” can obscure the situation of women and enslaved persons in the ancient world. It will also explore how it may contribute to the phenomenon of accidental anti-Judaism among readers of the Bible today.

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Wed 18 Jun 17:00: Towards the Development of a National Autism Suicide Prevention Resource Hub

Wed, 14/05/2025 - 14:58
Towards the Development of a National Autism Suicide Prevention Resource Hub

Autistic adults have a three to five-fold elevated risk of premature death by suicide compared to the general population; in the United Kingdom Autistic people are now identified as a priority population for suicide prevention policy and practice. However, health and mental health professionals can lack confidence, training and resources to effectively support Autistic adults at risk of suicide. Our research program has involved collaboration with Autistic people to identify gaps in mental healthcare supports, develop lived experience led training for professionals, and co-develop adapted suicide screening and assessment measures. My talk will provide a broad overview of our research to date leading to the development of a new autism suicide prevention resource hub for healthcare professionals, which has included research collaboration with leading experts in the UK. Our goal is that this resource will provide health and mental health professionals with the skills and resources to enable them to better identify and support Autistic people with mental health concerns as well as risk of suicide.

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Wed 18 Jun 17:00: Towards the Development of a National Autism Suicide Prevention Resource Hub

Wed, 14/05/2025 - 14:58
Towards the Development of a National Autism Suicide Prevention Resource Hub

Autistic adults have a three to five-fold elevated risk of premature death by suicide compared to the general population; in the United Kingdom Autistic people are now identified as a priority population for suicide prevention policy and practice. However, health and mental health professionals can lack confidence, training and resources to effectively support Autistic adults at risk of suicide. Our research program has involved collaboration with Autistic people to identify gaps in mental healthcare supports, develop lived experience led training for professionals, and co-develop adapted suicide screening and assessment measures. My talk will provide a broad overview of our research to date leading to the development of a new autism suicide prevention resource hub for healthcare professionals, which has included research collaboration with leading experts in the UK. Our goal is that this resource will provide health and mental health professionals with the skills and resources to enable them to better identify and support Autistic people with mental health concerns as well as risk of suicide.

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Tue 24 Jun 14:00: The statistical challenges in tackling persistent climate model uncertainty through model-observation comparisons. https://teams.microsoft.com/l/meetup-join/19%3ameeting_OWJjY2ViNjktOWZjMS00NGJmLWI5MTUtNTYxM2E5MTgyMTQ1%40thread.v2/0...

Wed, 14/05/2025 - 14:47
The statistical challenges in tackling persistent climate model uncertainty through model-observation comparisons.

Abstract: The effects of aerosols on the Earth’s energy balance since pre-industrial times (aerosol radiative forcing) has significantly and repeatedly dominated the uncertainty in reported estimates of global temperature change from the IPCC . The magnitude of aerosol radiative forcing of climate over the industrial period is estimated to lie between about -2 and -0.4 W m-2, compared to a much better understood forcing of 1.6 to 2.0 W m-2 due to CO2 . In this seminar, past efforts to quantify the range of possible aerosol forcings predicted from an aerosol-climate model that are caused by parametric uncertainty, and to constrain that forcing uncertainty through model-observation comparison using extensive aerosol and cloud-based measurements from ships, flight campaigns, satellites and ground stations, will be discussed. We find that despite a very large reduction in plausible parameter space and reasonable constraint on observable properties, the observational constraint based on this comprehensive set of measurements only partially reduces the range of aerosol radiative forcings from our model. In the NERC project ‘Towards Maximum Feasible Reduction in Aerosol Forcing Uncertainty’ (Aerosol-MFR), several key statistical challenges highlighted from this work are being addressed in order to improve the model-observation comparison process for uncertainty constraint. This includes optimising the way observational constraints are applied, designing new approaches for reducing error compensation effects and using the PPE to identify and characterise model structural errors. Preliminary results from the project so far will be outlined, along with further plans to tackle this important problem.

Biography: Dr Jill Johnson is a Lecturer in Statistics in the School of Mathematical and Physical Sciences at the University of Sheffield. Her research interests are in the development and practical application of statistical methods to quantify, assess and then reduce uncertainty in large-scale complex models of real-world systems, with a focus on problems in environmental science. Prior to joining Sheffield in August 2021, Jill worked as an applied statistician / research associate for over 8 years in the aerosol research group at the Institute for Climate and Atmospheric Science, University of Leeds, where her work focussed on the quantification and constraint of key uncertainties in models of the atmosphere and climate. Her current research builds on this work, including the NERC research project ‘Towards Maximum Feasible Reduction in Aerosol Forcing Uncertainty (Aerosol-MFR)’.

https://teams.microsoft.com/l/meetup-join/19%3ameeting_OWJjY2ViNjktOWZjMS00NGJmLWI5MTUtNTYxM2E5MTgyMTQ1%40thread.v2/0?context=%7b%22Tid%22%3a%2249a50445-bdfa-4b79-ade3-547b4f3986e9%22%2c%22Oid%22%3a%228b208bd5-8570-491b-abae-83a85a1ca025%22%7d

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Tue 24 Jun 14:00: The statistical challenges in tackling persistent climate model uncertainty through model-observation comparisons.

Wed, 14/05/2025 - 14:38
The statistical challenges in tackling persistent climate model uncertainty through model-observation comparisons.

Abstract: The effects of aerosols on the Earth’s energy balance since pre-industrial times (aerosol radiative forcing) has significantly and repeatedly dominated the uncertainty in reported estimates of global temperature change from the IPCC . The magnitude of aerosol radiative forcing of climate over the industrial period is estimated to lie between about -2 and -0.4 W m-2, compared to a much better understood forcing of 1.6 to 2.0 W m-2 due to CO2 . In this seminar, past efforts to quantify the range of possible aerosol forcings predicted from an aerosol-climate model that are caused by parametric uncertainty, and to constrain that forcing uncertainty through model-observation comparison using extensive aerosol and cloud-based measurements from ships, flight campaigns, satellites and ground stations, will be discussed. We find that despite a very large reduction in plausible parameter space and reasonable constraint on observable properties, the observational constraint based on this comprehensive set of measurements only partially reduces the range of aerosol radiative forcings from our model. In the NERC project ‘Towards Maximum Feasible Reduction in Aerosol Forcing Uncertainty’ (Aerosol-MFR), several key statistical challenges highlighted from this work are being addressed in order to improve the model-observation comparison process for uncertainty constraint. This includes optimising the way observational constraints are applied, designing new approaches for reducing error compensation effects and using the PPE to identify and characterise model structural errors. Preliminary results from the project so far will be outlined, along with further plans to tackle this important problem.

Biography: Dr Jill Johnson is a Lecturer in Statistics in the School of Mathematical and Physical Sciences at the University of Sheffield. Her research interests are in the development and practical application of statistical methods to quantify, assess and then reduce uncertainty in large-scale complex models of real-world systems, with a focus on problems in environmental science. Prior to joining Sheffield in August 2021, Jill worked as an applied statistician / research associate for over 8 years in the aerosol research group at the Institute for Climate and Atmospheric Science, University of Leeds, where her work focussed on the quantification and constraint of key uncertainties in models of the atmosphere and climate. Her current research builds on this work, including the NERC research project ‘Towards Maximum Feasible Reduction in Aerosol Forcing Uncertainty (Aerosol-MFR)’.

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Tue 07 Oct 19:15: All models are wrong and yours are useless: making clinical prediction models impactful for patients

Wed, 14/05/2025 - 10:45
All models are wrong and yours are useless: making clinical prediction models impactful for patients

: Most published clinical prediction models are never used in clinical practice which leads to a huge gap between academic research and clinical implementation. Here, I propose a checklist to enable academic researchers to be proactive partners in improving clinical practice and to design models in ways that ultimately benefit patients. Over the years I have come to see academic papers not as ends in themselves, but as the beginning of the journey to clinical implementation, and I am frustrated with how little of my own work ever had clinical impact. I argue that you should outline the road to implementation whilst designing your prediction tool by thinking about what medical decisions they are making and how these tools can be used in routine practice. I will illustrate these ideas by discussing AI models from our work to find a minimally invasive alternative to endoscopy and looking at ways of assessing breast cancer survival rates after surgery that can be used in the clinic.

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Mon 03 Nov 19:00: Benefits of data openness in a digital world

Wed, 14/05/2025 - 10:45
Benefits of data openness in a digital world

We are at a moment of extreme pessimism about data with news stories implicating social media and mobile phones in cyberespionage. To many this is a worrying state of affairs but are we worrying too much? In this talk I will argue that data openness and data-drive advertising are good things and are misunderstood. In particular data-driven advertising is not about controlling behaviour but involves targeting groups of people which brings economic benefits. Internet search data has been used to meet public health challenges such as providing insights into Zika and Ebola. I will argue we should be targeting the distribution of digital power rather than concerning ourselves with business models of particular companies.

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Wed 26 Nov 19:15: 100 years of educational trials – no significant difference?

Wed, 14/05/2025 - 10:45
100 years of educational trials – no significant difference?

Randomised controlled trials (RCTs) in education research have been carried out for over 100 years. Over the last 15 of these years their use has increased significantly. In this talk we examine the field of education research to address the key challenges faced by education trials today and possible solutions. Despite their growing use they have been subject to sustained and rather trenchant criticism from significant sections of the education research community. There are key areas in which RCTs require focus and improvement: in particular in recruitment and retention, implementation and outcome measures.

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Tue 03 Feb 19:15: Connecting the False Discovery Rate to shrunk estimates

Wed, 14/05/2025 - 10:45
Connecting the False Discovery Rate to shrunk estimates

Abstract not available

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