Tutorials day
03 February
(separate registration, online format)
NLP & CV day
04 February
RL & AGI day
05 February
Tutorials day
(separate registration, online format)
03 February
Pavel Fakanov, Replika
Mikhail Guschin, HSE
Vadim Strizhov, MIPT
Kirill Aksenov, MIPT
NLP & CV day
Thursday, 4 February
09:00 – 10:00
09:00 – 10:00
Registration
10:00 – 10:10
10:00 – 10:10
Conference and day opening
Igor Pivovarov, OpenTalks.AI
What will be at the conference, main ideas, numbers, accents.
10:10 – 11:40
10:10 – 11:40
Computer vision - overview of 2020 results
Big conference hall
Computer vision - overview of 2020 results
Alexey Dosovitsky, Google Brain
A look at the most important events in CV in 2020: transformers, large scale and a little bit of everything else)
Modeling 3D scenes: new approaches in 2020
Victor Lempitsky, Samsung, Skoltech
In 2020, the computer vision community actively explored new approaches to modeling 3D scenes and objects based on visual data. As part of the report, we will look at these approaches, their main features and differences.
11:40 – 12:00
11:40 – 12:00
Coffee break
12:00 – 13:00
12:00 – 13:00
Parallel sessions
NLPdevelopment
Scientific reports in ML
Dmitry Vetrov,
Samsung AI, HSE
Loss Fractality, Double Descent Effect, and Power Laws in Deep Learning - Pieces of the Same Mosaic
Sergey Nikolenko
POMI RAS,
Neuromation
Understanding the Multimodal World: Recent Results, Tasks and Challenges
Artem Artemov,
Cognitive systems
B2NLP framework.
Model for determining the emotional tone of the text
Denis Timonin,
NVIDIA
Megatron-LM: Teaching Multi-Billion LMs Using Model Parallelism Technique
CV in medicine
Features of AI in medical diagnostics: data, validation and practical application
Kirill Arzamasov,
NPKTs DiT DZM
Neural network algorithms to improve the quality of medical images
Alexey Chernyavsky, Philips
Artificial intelligence and modern challenges: the most interesting solutions for CT diagnostics of COVID-19 through the prism of global technological trends
Inna Moroz,
Care Mentor AI
Alexander Gromov,
Third Opinion
Stability of neural network models in the analysis of CT / LDCT studies
Other speakers will be announced later
Alexey Zorchenkov, Huawei
Using NLP Methods to Work with Program Code
13:00 – 13:15
13:00 – 13:15
Coffee break
13:15 – 14:00
13:15 – 14:00
Parallel sessions
NLP development
Scientific reports in ML
Andrey Ustyuzhanin, HSE
Reference architecture of a service center robot in industries with fluid business processes
The frontier of simulation-based inference
Alexander Prozorov,
Cybersin
Predictive analytics in business
"CAPTAIN" of the Digital Arctic
Sergey Orlov,
Gazprom Neft
Extraction and analysis of price factors for monitoring the grain market
Alexander Khaidarov, MITLabs
Denis Surzhko,
VTB
Enriching data with geo-tags
Other speakers will be announced later
Other speakers will be announced later
Search for interpretable semantics in various types of signals. Applications to real products.
Denis Parhomenlo, Huawei
14:00 – 15:15
14:00 – 15:15
Lunch
We have increased the lunch time to 1 hour and 15 minutes to reduce queues of offline participants.
15:15 – 16:30
15:15 – 16:30
NLP- overview of 2020 results
Big conference hall
Top NLP Results in 2020
Grigory Sapunov, Intento
The talk will provide an overview of the most important works and results in the field of natural language processing in 2020.
How AI Impacted Business in 2020
Sergey Lukashkin, VTB
This year we will not be doing separate reviews of how CV or NLP are applied in business. Instead, we'll take a look at what global AI trends have emerged in 2020 and how they will impact businesses this year and the next.
16:30 – 16:50
16:30 – 16:50
Coffee break
16:50 – 17:50
16:50 – 17:50
Parallel sessions
Development in CV
Scientific reports in ML
NLP in business
Life-giving analytics. DODO contact center automation.
Optimization of neural networks and their development
Topic will be announced later
Ilya Zharikov,
MIPT
Speed up of convolutional networks using quantization. Quantization aware training
Dmitry Pagin, TrafficData
Analysis of the efficiency of pattern recognition on non-standard types of images using the example of radar images and X-ray images of baggage and hand luggage
Nikita Andriyanov, Financial University
Roman Doronin, EORA.AI
Optimization of business processes and workflow using NLP-technologies: Classification of tender purchases; Question-answer system
Maxim Milkov,
Softline
Artem Oganov,
Skoltech
Associative inference tensor machine
Sergey Terekhov,
RAII, RANI
Other speakers will be announced later
Investigation of the stability of convolutional neural networks in of face detection and recognition systems
Alexander Petyushko, Huawei
17:50 – 18:05
17:50 – 18:05
Coffee break
18:05 – 19:05
18:05 – 19:05
Parallel sessions
Development in CV
Scientific reports - AGI
Predictive analytics in medicine
GeoSense: AI Helps Track Health and Aging Using Your Smartphone
Measuring progress towards AGI with tests
Dmitry Salikhov,
Alexander Gromov,
Third Opinion
Models for predicting the occurrence of complications and risks of severe course of Covid-19 based on data from case histories and X-ray studies of patients
Timofey Pyrkov,
Gero
VisionLabs ATAC - multicam people tracking
Daniil Kireev,
VisionLabs
Alexander Gusev,
Webiomed
Prospects for predictive analytics in reducing cardiovascular morbidity and mortality
AutoDL or how to reduce development and production costs of neural networks
Sergey Alyamkin,
Expasoft
Is it possible to train an accurate medical AI model on incomplete data of questionable quality?
Evgeny Nikitin,
Celsus
Other speakers will be announced later
Olga Perepelkina, Intel
Federated Learning for Healthcare: A privacy-preserving method to train data science models on sensitive datasets
RL & AGI day
Friday, February 5
09:00 – 10:00
09:00 – 10:00
Registration
10:00 – 10:10
10:00 – 10:10
Opening day
Igor Pivovarov, OpenTalks.AI
Head of the OpenTalks.AI Organizing Committee
10:10 – 11:40
10:10 – 11:40
Reinforcement Learning - main results of 2020
Big conference hall
RL in robotics
Alexander Panov, Moscow Institute of Physics and Technology, Institute of Applied Mathematics and Research
An overview of the Reinforcement Learning applications in robot navigation - basic methods, key competitions, results.
11:40 – 12:00
11:40 – 12:00
Coffee break
12:00 – 13:00
12:00 – 13:00
Parallel sessions
Data markup
Predictive analytics in business
Olga Megorskaya,
Yandex
We are responsible for what we've learned: data markup as a key part of building AI products
Valentin Biryukov, Yandex
ML in preparing data for ML: predicting the quality of the work of performers when marking up data
Other speakers will be announced later
Scientific reports in CV
Anton Konushin,
HSE, Samsung
Depth Map Assessment
Evgeny Burnaev,
Skoltech
Deep Vectorization of Technical Drawings
Image markup for Japanese startup
Roman Kuntsev, Trainingdata.ru
13:00 – 13:15
13:00 – 13:15
Coffee break
13:15 – 14:00
13:15 – 14:00
Parallel sessions
Hardware for
Deep Learning

NLP development for legal practice
Grigory Sapunov,
Intento
AI hardware overview talk
Yulia Schevchenko,
MITLABS

Themis and transformers: the use of linguistic models based on the "transformer" architecture in legal practice.
Ignat Postny,
TAG Consulting
Why is machine learning hampering the development of Legal AI?
Scientific reports - AGI
Anton Kolonin,
Aigents

Justification of the neurosymbolic architecture of general artificial intelligence using the example of reinforcement learning
Evgeny Vityaev,
IM SB RAS

A problem-solving approach to general artificial intelligence

Other speakers will be announced later
14:00 – 15:15
14:00 – 15:15
Linch
We have increased the lunch time to 1 hour and 15 minutes to reduce queues and offline flows of participants.
15:15 – 15:45
15:15 – 15:45
Robofootball
A real football match between the robots of the Starkit team (MIPT), championship winners:
  • 1st place at Robocup Asia-Pacific 2019 (Humanoid Kid Size)
  • 3rd place at FIRA 2019–3rd (Sprintand Obstaclerun)
  • 1st place at Robocup 2019 (SPL Challenge Shield)
15:45 – 16:00
15:45 – 16:00
Coffee break
16:00 – 17:00
16:00 – 17:00
Parallel sessions
Development of recommender systems and predictive analytics

Investments and startups in AI
Mikhail Guschin,
HSE
Detecting temporary changes for predictive analytics systems
Speakers will be announced later
Artem Prosvetov,
LANIT / CleverDATA

User vectorization and our steps towards Federated Learning
Scientific reports - autonomous systems
Alexey Okunev,
NSU
Reconstruction of geographic coordinates of recognized objects based on SLAM and Deep Learning technologies during survey video from UAVs
Nikolay Gaiduchenko,
NPO Almaz

Hypersonic Vehicle Trajectory Classification Using Convolutional Neural Network
Vladislav Kibalov,
EVOCARGO
Safe control of the speed of an unmanned ground vehicle under conditions of uncertainty of its own position
Other speakers will be announced later
17:00 – 17:15
17:00 – 17:15
Coffee break
17:15 – 19:00
17:15 – 19:00
Strong artificial intelligence - AGI
Big conference hall
It is difficult to speak about the results in the field of AGI, since there is not a single working AGI model. We will talk about the current state of research at AGI, look at the advantages and disadvantages of existing approaches, and propose new models. This session will open up new paths for you to build AGI!
AGI architectures and approaches - where we are now and where to go next
Igor Pivovarov, TsNiT II MIPT, OpenTalks.AI
Review of the main architectures and approaches for building AGI, biological and mathematical aspects, neural network and cognitive architectures. Generalization of the results of recent years and new models.
Reverse engineering of the brain as a path to strong AI
Sergey Shumsky, Russian Association of Neuroinformatics
Let's consider how the brain works from the point of view of machine learning, which blocks are responsible for what and how they are modeled. Let's outline the paths to new models.
Title on confirmation
Konstantin Anokhin, Moscow State University
Despite the huge body of evidence, modern neuroscience does not yet provide a satisfactory explanation of the nature of mind and consciousness. Today, the main search for an answer to these questions is centered around the problem of the neural foundations of consciousness. We will analyze the most important characteristics of consciousness and formulate the requirements that must be met by a fundamental scientific theory explaining it.
19:00 – 22:00
19:00 – 22:00
Afterparty
You will have a wonderful opportunity to communicate informally with the speakers and participants of the conference and listen to the performances of the music groups of the AI industry companies!