Invitation: IARAI seminar on "Protein structure prediction with AlphaFold"

[Aleksandra Gruca]

Join our next IARAI virtual seminar on Protein structure prediction with AlphaFold which will be held on April 21st @5PM CET!

The seminar presentation will be given by Dr Andrew Senior, a research scientist in the science team at DeepMind in London and a leader of the AlphaFold team for the CASP13.

The attendance is free and the seminar session will be held on zoom. Please register using the website below to receive the link to the meeting:  

👉 https://www.iarai.ac.at/events/protein-structure-prediction-with-alphafold/ 

Abstract:

Proteins are are large complex molecules, essential to practically all life’s processes. What a protein does largely depends on its unique 3D structure. Figuring out what shapes proteins fold into is known as the “protein folding problem”, and has stood as a grand challenge in biology for the past 50 years. The machine learning system AlphaFold has been recognised as a solution to this challenge by the organisers of the biennial Critical Assessment of protein Structure Prediction (CASP). In this talk Andrew will describe how AlphaFold works and how AlphaFold predictions are transforming molecular biology, as well as looking more broadly at how machine learning can impact science.

About the speaker:

Dr Andrew Senior is a research scientist in the science team at DeepMind in London where he led the AlphaFold team for the CASP13 protein structure prediction assessment. Previously he was tech lead for neural networks research in Google’s speech recognition acoustic modelling group. Before joining Google, he taught at Columbia University and worked at IBM Research on computer vision and biometrics. He received a PhD from Cambridge University for his thesis on recurrent neural networks and is a fellow of the Royal Academy of Engineering, IEEE and IET.

We look forward to seeing you at our seminar!

Aleksandra Gruca

[Ludovico Montalcini]

* Apologies for multiple copies. Please forward to anybody who might be interested *

#ACDL2022, An Interdisciplinary Course: #BigData, #DeepLearning & #ArtificialIntelligence without Borders

(Online attendance available)

Certosa di Pontignano, Castelnuovo Berardenga (Siena) - #Tuscany, Italy
August 22-26
https://acdl2022.icas.cc   ac...@icas.cc

ACDL 2022 (as ACDL 2021 and ACDL 2020): an #OnlineAndOnsiteCourse
https://acdl2022.icas.cc/acdl-2022-as-acdl-2021-and-acdl-2020-an-online-onsite-course/

EARLY REGISTRATION: by April 23
https://acdl2022.icas.cc/registration/

DEADLINES:
Early Registration: by April 23 (AoE)
Oral/Poster Presentation Submission Deadline: April 23 (AoE)
Late Registration: from Thursday April 24
Accommodation Reservation at Reservation at the Certosa di Pontignano: by July 20
Notification of Decision for Oral/Poster Presentation: by Thursday June 23

LECTURERS:
Each Lecturer will hold three/four lessons on a specific topic.
https://acdl2022.icas.cc/lecturers/

Žiga Avsec, DeepMind, London, UK    
Roman Belavkin, Middlesex University London, UK    
Alfredo Canziani, New York University, USA    
Alex Davies, DeepMind, London, UK    
Edith Elkind, University of Oxford, UK  
Marco Gori, University of Siena, Italy    
Danica Kragic Jensfel, Royal Institute of Technology, Sweden    
Yukie Nagai, The University of Tokyo, Japan    
Panos Pardalos, University of Florida, USA    
Silvio Savarese Salesforce & Stanford University, USA  
Mihaela van der Schaar, University of Cambridge, UK

More Keynote Speakers to be announced soon.

PAST LECTURERS:
https://acdl2022.icas.cc/past-lecturers/
 
SCHEDULE:
https://acdl2022.icas.cc/wp-content/uploads/sites/19/2022/01/ACDL-2022-Schedule-Ver1.0.pdf


VENUE:
The venue of ACDL 2022 will be The Certosa di Pontignano — Siena

The Certosa di Pontignano
Località Pontignano, 5 – 53019, Castelnuovo Berardenga (Siena) – Tuscany – Italy
phone: +39-0577-1521104
fax: +39-0577-1521098
in...@lacertosadipontignano.com
https://www.lacertosadipontignano.com/en/index.php
Contact person: Dr. Lorenzo Pasquinuzzi

https://acdl2022.icas.cc/venue/

PAST EDITIONS:
https://acdl2022.icas.cc/past-editions/
https://acdl2018.icas.xyz
https://acdl2019.icas.xyz
https://acdl2020.icas.xyz
https://acdl2021.icas.cc

REGISTRATION:
https://acdl2022.icas.cc/registration/

ACDL 2022 POSTER:
https://acdl2022.icas.cc/wp-content/uploads/sites/19/2022/02/poster-ACDL-2022.png

Anyone interested in participating in ACDL 2022 should register as soon as possible.
Similarly for accommodation at the Certosa di Pontignano (the Course Venue), book your full board accommodation at the Certosa as soon as possible.
All course participants must stay at the Certosa di Pontignano.

See you in 3D or 2D :) in Tuscany in August!
                                     ACDL 2022 Directors.


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https://acdl2022.icas.cc/faq/

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* Apologies for multiple copies. Please forward to anybody who might be interested *

[Ludovico Montalcini]

Dear Colleague, 

Apologies if you receive multiple copies of this announcement. 
Please kindly help forward it to potentially interested authors/attendees, thanks!

--

The 8th International Online & Onsite Conference on Machine Learning, Optimization, and Data Science – #LOD2022 - September 18-22, Certosa di Pontignano, #Tuscany - Italy

LOD 2022, An Interdisciplinary Conference: #MachineLearning, #Optimization, #BigData & #ArtificialIntelligence, #DeepLearning without Borders

https://lod2022.icas.cc

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PAPERS SUBMISSION: May 3 (Anywhere on Earth)
All papers must be submitted using EasyChair:
https://easychair.org/conferences/?conf=lod2022


LOD 2022 KEYNOTE SPEAKER(S):
* Pierre Baldi, University of California Irvine, USA

* Jürgen Bajorath, University of Bonn, Germany

LOD 2022 TUTORIAL SPEAKER:
* Simone Scardapane, University of Rome "La Sapienza", Italy

ACAIN 2022 KEYNOTE SPEAKERS:

* Marvin M. Chun, Yale University, USA

* Ila Fiete, MIT, USA

* Karl Friston, University College London, UK & Wellcome Trust Centre for Neuroimaging

* Wulfram Gerstner, EPFL, Switzerland

* Máté Lengyel, Cambridge University, UK

* Max Erik Tegmark, MIT, USA & Future of Life Institute

* Michail Tsodyks, Institute for Advanced Study, USA


More Lecturers and Speakers to be announced soon!

https://acain2022.artificial-intelligence-sas.org/course-lecturers/


PAPER FORMAT:
Please prepare your paper using the Springer Nature – Lecture Notes in Computer Science (LNCS) template. Papers must be submitted in PDF.


TYPES OF SUBMISSIONS:
When submitting a paper to LOD 2022, authors are required to select one of the following four types of papers:

* long paper: original novel and unpublished work (max. 15 pages in Springer LNCS format);

* short paper: an extended abstract of novel work (max. 5 pages);

* work for oral presentation only (no page restriction; any format). For example, work already published elsewhere, which is relevant, and which may solicit fruitful discussion at the conference;

* abstract for poster presentation only (max 2 pages; any format). The poster format for the presentation is A0 (118.9 cm high and 84.1 cm wide, respectively 46.8 x 33.1 inch). For research work which is relevant, and which may solicit fruitful discussion at the conference.

Each paper submitted will be rigorously evaluated. The evaluation will ensure the high interest and expertise of reviewers. Following the tradition of LOD, we expect high-quality papers in terms of their scientific contribution, rigor, correctness, novelty, clarity, quality of presentation and reproducibility of experiments.
Accepted papers must contain significant novel results. Results can be either theoretical or empirical. Results will be judged on the degree to which they have been objectively established and/or their potential for scientific and technological impact.

It is also possible to present the talk virtually (Zoom).


LOD 2022 Special Sessions:
https://lod2022.icas.cc/special-sessions/
https://easychair.org/my/conference?conf=lod2022

PAST LOD KEYNOTE SPEAKERS:
https://lod2022.icas.cc/past-keynote-speakers/

Yoshua Bengio, Head of the Montreal Institute for Learning Algorithms (MILA) & University of Montreal, Canada
Bettina Berendt, TU Berlin, Germany & KU Leuven, Belgium, and Weizenbaum Institute for the Networked Society, Germany
Jörg Bornschein, DeepMind, London, UK
Michael Bronstein, Imperial College London, UK
Nello Cristianini, University of Bristol, UK
Peter Flach, University of Bristol, UK, and EiC of the Machine Learning Journal

Marco Gori, University of Siena, Italy

Arthur Gretton, UCL, UK
Arthur Guez, Google DeepMind, Montreal, UK
Yi-Ke Guo, Imperial College London, UK
George Karypis, University of Minnesota, USA
Vipin Kumar, University of Minnesota, USA
Marta Kwiatkowska, University of Oxford, UK
George Michailidis, University of Florida, USA
Kaisa Miettinen, University of Jyväskylä, Finland
Stephen Muggleton, Imperial College London, UK

Panos Pardalos, University of Florida, USA

Jan Peters, Technische Universitaet Darmstadt & Max-Planck Institute for Intelligent Systems, Germany
Tomaso Poggio, MIT, USA
Andrey Raygorodsky, Moscow Institute of Physics and Technology, Russia
Mauricio G. C. Resende, Amazon.com Research and University of Washington Seattle, Washington, USA
Ruslan Salakhutdinov, Carnegie Mellon University, USA, and AI Research at Apple
Maria Schuld, Xanadu & University of KwaZulu-Natal, South Africa
Richard E. Turner, Department of Engineering, University of Cambridge, UK
Ruth Urner, York University, Toronto, Canada
Isabel Valera, Saarland University, Saarbrücken & Max Planck Institute for Intelligent Systems, Tübingen, Germany

TRACKS & SPECIAL SESSIONS:
https://lod2022.icas.cc/special-sessions/

BEST PAPER AWARD:
Springer sponsors the LOD 2022 Best Paper Award
https://lod2022.icas.cc/best-paper-award/

PROGRAM COMMITTEE:
https://lod2022.icas.cc/program-committee/

SCHEDULE:
https://lod2022.icas.cc/wp-content/uploads/sites/20/2022/02/LOD-2022-Schedule-Ver-1.pdf

VENUE:
https://lod2022.icas.cc/venue/

The venue of LOD 2022 will be The Certosa di Pontignano — Siena

The Certosa di Pontignano
Località Pontignano, 5 – 53019, Castelnuovo Berardenga (Siena) – Tuscany – Italy
phone: +39-0577-1521104
fax: +39-0577-1521098
in...@lacertosadipontignano.com
https://www.lacertosadipontignano.com/en/index.php
Contact person: Dr. Lorenzo Pasquinuzzi

You need to book your accommodation at the venue and pay the amount for accommodation directly to the Certosa di Pontignano.

ACTIVITIES:
https://lod2022.icas.cc/activities/


POSTER:
https://lod2022.icas.cc/wp-content/uploads/sites/20/2022/02/poster-LOD-2022-1.png

Submit your research work today!

https://easychair.org/conferences/?conf=lod2022

See you in the beautiful Tuscany in September!

Best regards, 
  LOD 2022 Organizing Committee


LOD 2022 NEWS:
https://lod2022.icas.cc/category/news/

Past Editions
https://lod2022.icas.cc/past-editions/

LOD 2021, The Seventh International Conference on Machine Learning, Optimization and Big Data
Grasmere – Lake District – England, UK. Nature Springer – LNCS volumes 13163  and 13164.
LOD 2020, The Sixth International Conference on Machine Learning, Optimization and Big Data
Certosa di Pontignano – Siena – Tuscany – Italy. Nature Springer – LNCS volumes 12565 and 12566.
LOD 2019, The Fifth International Conference on Machine Learning, Optimization and Big Data
Certosa di Pontignano – Siena – Tuscany – Italy.
Nature Springer – LNCS volume 11943.
LOD 2018, The Fourth International Conference on Machine Learning, Optimization and Big Data
Volterra – Tuscany – Italy. Nature Springer – LNCS volume 11331.
MOD 2017, The Third International Conference on Machine Learning, Optimization and Big Data
Volterra – Tuscany – Italy. Springer – LNCS volume 10710.
MOD 2016,  The Second International Workshop on Machine learning, Optimization and big Data
Volterra – Tuscany – Italy. Springer – LNCS volume 10122.
MOD 2015, International Workshop on Machine learning, Optimization and big Data
Taormina – Sicily – Italy. Springer – LNCS volume 9432.

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