Tutorials day
(separate registration)
(separate registration)
19 Feb
09:00 – 09:50
Registration
09:50 – 10:00
Opening remarks
10:00 – 11:00
Modern language models on GPT-2 case and how to implement it to dialog systems.
Mikhail Khalman,
Replika.ai
Replika.ai
11:00 – 11:45
Coffee break
11:45 – 13:15
Generative-Adversarial Networks: first steps in image generation.
Tutorial for work with GANs.
Denis Derkac, HSE
13:15 – 14:00
Lunch
14:00 – 15:45
Deep learning & Bayesian approach. Loss function optimization.
Tutorial for Bayessian methods.
Dmitry Vetrov,
Samsung, HSE
Samsung, HSE
15:45 – 16:00
Coffee break
16:00 – 17:30
Deep Reinforcement Learning
Tutorial on Reinforcement learning for deep neural networks
Ruslan Salakhutdinov
10:00 – 13:00
Neural Networks with OpenVINO: make them fly
Artyom Tugarev , Intel
Dmitry Temnov , Intel
Opening remarks
10:00 – 10:15
Founder & director of OpenTalks.AI
Igor Pivovarov, OpenTalks.AI
09:00 – 10:00
NLP & CV day
20 Feb
Registration
Human-centered AI: emotions and psysiological signals recognition by video
12:00 – 13:00
Olga Perepelkina, Neurodata L
CV business applications
CV R&D
Samsung AI
R&D seminar
R&D seminar
CV science
Computer vision - state of the art and what was important in 2019
10:15 – 10:35
CV - overview of business applications
10:55 – 11:10
Alexander Krainov, Yandex
CV - overview of developer frameworks
11:25 – 11:45
Artur Kuzin, X5 Retail Group
Coffee-break
11:45 – 12:00
Multi-camera video analytics for retail and staff monitoring
Semen Budenkov, IntelliVision
Social media realtime analysis of text on pictures
Grigory Ostrovskiy, Brand Analytics
OpenVINO: Democratizing of neural network optimization
Alexander Demidovskij, Intel
Addressing the issues of using "real-data" for training visual AI systems through the use of Synthetic data
Chris Longstaff,
Mindtech Global
Mindtech Global
Public bus driver monitoring by means of camera and smartphone sensors
Alexey Kashevnik, SPIIRAS
Controlling Overestimation Bias with Truncated Mixture of Continuous Distributional Quantile Critics
Perceptual Deep Depth Super-Resolution
Coffee break
13:00 – 13:15
Anton Konushin, Samsung, HSE
Viktor Lempitsky, Samsung, Skoltech
Linear Features Observation Model for Autonomous Robot Navigation
Computer Vision - overview session
Conference hall
Conference hall
10:15 – 11:45
Eugeny Burnaev,
Skoltech
Skoltech
Oleg Schipitko,
Visillect Service
Visillect Service
Calculation effective methods of image classification.
Andrey Savchenko,
HSE
HSE
Visual attacks and how to handle them
Yuri Visilter,
GosNIIAS
GosNIIAS
Pavel Shvechikov, Samsung
AdaptIS: Adaptive Instance Selection Network
Konstantin Sofiuk, Samsung
Timelapse Video Generation from Single Image with GANs
Roman Suvorov, Samsung
Technical talks for developers
CV business application cases
CV search for violation in trademarks. Save your IP with AI
Roman Doronin, Eora
Anna Belova, Intel
CV - overview of biometric applications
Aleksander Khanin, VisionLabs
10:35 – 10:55
11:10 – 11:25
Computer vision for treatment facilities management
Viktor Subbotin, Beta
OCR in Mail: fighting with froud pictures
Daniil Lysykhin,
Mail.ru Group
Mail.ru Group
Fast cars detection and traffic estimation
Dmitry Pagin, TrafficData
Moderator
13:15 – 14:00
Boris Zingerman, INVITRO
AI for the government
Poster session
CV&PA
CV&PA
CV in healthcare
Vladimir Ovchinsky,
Ministry of Internal Affairs
Ministry of Internal Affairs
Lunch
14:00 – 15:00
Platforms for chatbots and voice assistants: today and tomorrow
16:30 – 17:30
Stanislav Ashmanov, Nanosemantics
NLP R&D
NLP science
NLP in healthcare
NLP business applications
Virtual Assistants. Beyond the Comfort Zone
Nikolay Trzhaskal, MTS
Russsian voice assistants - who is the best?
Dmitry Muromtsev, IFMO
The first chatbot and voice skill in the construction market from Tikkurila: How to introduce innovative services in a traditional industry
Alexandra Dehanova,
NAUMEN
NAUMEN
Neural sentiment analysis
Viktor Novikov,
Brand Analytics
Brand Analytics
Real-time agent assist in call centers based on speech recognition - implementation in telecom.
Mikhail Gorbatovskiy, IBM (USA)
Workshop for professionals: technologies of thematic modeling and information retrieval
Moderator
NLP - state of the art and
what was important in 2019
what was important in 2019
15:00 – 15:25
Valentin Malykh, Huawei
NLP - overview of business applications
15:25 – 15:50
Arkady Sandler, МТС
NLP - overview of developers frameworks
15:50 – 16:15
Tatiana Shavrina, Sberbank, HSE
Coffee break
16:15 – 16:30
How we collect data for Huawei voice assistant
Murat Apishev , Digital Decisions
Irina Piontkovskaya, Huawei
Irina Piontkovskaya, Huawei
Thematic news modeling based on citation detection
Alexey Burnakov, ITAR-TASS
Hierarchical Decision Making by Generating and Following Natural Language Instructions
Style Transfer for Texts: Retrain, Report Errors, Compare with Rewrites
Coffee break
17:30 – 17:45
17:45 – 18:30
NLP R&D
NLP in Legal
Poster session
Strategic talk
Mikhail Petrov,
Accounting chamber
Accounting chamber
Moderator
Digital contract expert for Sibur
Computer humor: analysis and generation of funny content
Towards Scalable Dimensionality Reduction via Noise Contrastive Estimation
Medical diagnostic transformation based on AI
Sergey Morozov,
NPCMR
NPCMR
Best Russian talks on A* conferences in 2019
Other speakers will be announced later
NLP - overview session
Conference hall
Conference hall
15:00 – 16:15
Konstantin Vorontsov, MIPT, FRCCSC
Ivan Yamshchikov, Max Planck Institute
Denis Yarats, New York University and Facebook AI Research
Alexey Russkikh, Megaputer Intelligence
Holger Zscheyge, Infotropic Media
Alexander Artemenkov, Skoltech
Pavel Braslavski, JetBrains Research/HSE
Sergei Arseniev, Research Institute of Emergency Pediatric Surgery and Traumatology
CV R&D
Best Russian talks on A* conferences in 2019
Oksana Tarasenko,
Ministry of Economic Development
Ministry of Economic Development
MRI acceleration using neural networks
Kastryulin Sergey, Philips Research
How data collection leads to universal models that solve exams
Sergey Markov, OOO "ABС"
Robocalls: market expectations, application and challenges
Automatical taxonomies extraction: Modern approaches and testing
Natalia Loukachevitch, MSU, BMSTU
Iliya Dimitrov,
Seldon
Seldon
Vasiliy Elistratov, Ministry of Defense
Dmitry Vetrov, HSE, Samsung AI
Open talk about Russian AI strategy.
Technical talks for developers
NLP cases for legal applications
NLP business cases
Technical talks for developers
Technical talks for developers
How AI is deployed for state needs
CV cases in healthcare
NLP cases in healthcare
Elena Tutubalina, KPFU, Insilico Medicine
Parsing social media posts finding drug adverse effects
AI for healthcare
Anna Mesheryakova,
Third opinion
Third opinion
Elizaveta Ivanova, EGO Translating
Poster spotlights
Machine translation data processing for neural tetworks training
Yuriy Molodykh,
RVC
RVC
Software language D2PL: complex humanless processes design: challanges and solutions
Alexander Prozoroff, MIPT
RecVAE: a New Variational Autoencoder for Top-N Recommendations with Implicit Feedback
Ilya Shenbin, Samsung AI
Unpaired image-to-image translation for radiotherapy
Denis Prokopenko, Philips Research Russia
Learning to select for a predefined ranking
Alexander Vorobyov, Yandex
Artyom Astapov, Doc+
Medical documentation quality control system
Vladimir Ovchinsky, Ministry of Inner Affairs
Ivan Smirnov, RAIRI, RUDN University
Identification of mental disorders among social media texts authors
Search and interpretation of intents and significant facts in speech: how to train chatbots for business
Egor Payusov,
Tikkurila
Tikkurila
100 million NLP contest announcement
Sergey Kuznetsov, Amulex
Sergei Abramov, MTS
Predictive analysis of legal department workload
Opening remarks
10:00 – 10:05
Founder & director of OpenTalks.AI
Igor Pivovarov, OpenTalks.AI
10:05 – 10:25
Liu Yu, Huawei
09:00 – 10:00
RL & PA day
21 Feb
Registration
Changing the paradigm of data analysis from datasets to streams
12:00 – 13:00
Sergey Mishin, Noosphere Technologies
Predictive analytics business applications
PA & RS R&D
Chipset for AI
Investments in AI
Coding AI in a Multi-Architecture Future!
10:25 – 10:45
Ralph de Wargny, Intel
Predictive analytics - state of the art and what was important in 2019
10:45 – 11:05
Andrey Ustyuzhanin, HSE, Yandex
PA & RS - overview of business applications
11:05 – 11:25
Emely Dral, Mechanica.ai
Coffee break
11:45 – 12:00
AI for counterparties scoring in issue of a commodity loan
Dan Lesovodski, Data Monsters
Coffee break
13:00 – 13:15
How ML helps to plan neurosurgery
13:15– 14:00
Maxim Sharaev, Skoltech
Ethics and governance
Predictive healthcare
Andrey Neznamov, Sberbank
Lunch
14:00 – 15:00
Mivar technologies for logistic AGI - theory and practice
16:15 – 17:00
Oleg Varlamov, BMSTU, MIVAR
RL in practice
AGI
A roadmap: from neural network revolution to AGI
Vladimir Smolin, Keldysh Institute of Applied Mathematics
RL - state of the art and what was important in 2019
15:00 – 15:20
Sergey Nikolenko, PDMI RAS, Neuromatio
RL - overview of business applications
15:20 – 15:40
Sergey Sviridov, Zyfra
Coffee break
16:00 – 16:15
Coffee break
17:00 – 17:15
GitHub - AI developer tools
11:25 – 11:45
Marko Berkovic, GitHub
Artificial Intelligence for Demand Forecasting: how it really works
Alexander Fonarev, Rubbles
How to increase human lifespan using AI
Petr Fedichev, Gero
Startup pitch session
Neural network brain activity: experimental data, computer and mathematical modeling
Vitaly Verkhlyutov, INHA RAS
AGI - state of the art and what was important
in 2019
in 2019
17:15 – 17:35
Alexey Potapov, SingularityNET
Distributed, compressive and implicit memory models
17:35 – 18:15
Sergey Bartunov, DeepMind
How AI is transforming economy and society
18:15 – 18:45
Eugeny Kuznetsov, Orbita Capital
Night party
19:00 – 22:00
You have a wonderful afterparty for networking, drinking premium Russian wine and listening to rock bands from the AI industry!
RL - overview of developer frameworks
15:40 – 16:00
Sergey Kolesnikov, Tinkoff
AI Hardware
Conference hall
Conference hall
10:05 – 10:45
Predictive Analytics and Recommendation Systems -
overview session
Conference hall
overview session
Conference hall
10:45 – 11:45
Reinforcement Learning - overview session
Conference hall
Conference hall
15:00 – 16:00
AGI - overview session
Conference hall
Conference hall
17:15 – 18:15
Konstantin Burlachenko, Huawei
Ilya Pavlov,
Severstal
Severstal
Nataliya Podsosonnaya
Denis Efremov
2019 AI investment review
Moderator
Can you trust Artificial Intelligence steelmaking?
Matvey Flax, Olga Vagner, Datana
CNC machine control with ML
Alexander Smolenskii, Zyfra
From narrow and weak to strong and general
Anton Kolonin, Aigents, SingularityNET, Novosibirsk State University
Artificial Intelligence. You'll have to work.
Daniil Kanevskii, GoodsForecast
Reinforcement Learning and optimal energy pipeline management
Alexander Belinskiy, Gazprom promgaz
Ascend to a New AI era
AI security - global research
Alexander Polyakov
Oleg Danilchenko, PwC
Huawei technologies for AI developers
Sample Efficient Reinforcement Learning
Alexander Panov, MIPT, RAIRI
Alexey Skrynnik,
RAIRI
RAIRI
Technical talks for developers
Huawei workshop
Russian semi-final of international Startup World Cup with $1,000,000 award
Модератор
Top-10 Russian AI startups
Moderator
Panel discussion
Panel discussion
Elizaveta Afanaseva, IPChain
Artificial Intelligence in the area of intellectual property
Ekaterina Kalugina Doubledata
The impact of big data monopolization on the development of AI
Elena Vvedenskaya, RSMU, INION
AI in digital medicine: bioethical assessment of challenges and opportunities
Improving the efficiency of pricing and promo solutions using ML algorithms
Preparation of medical records and training of recognition models in conditions of insufficient labelled data
Andrey Teterin, OOO "Auriga"
The impact of big data monopolization on the development of AI
AI technologies for state and municipal government of Russian Federation
Yuri Tsvetkov, Ministry of Foreign Affairs
Nikolai Lukashov, Ministry of Internal Affairs
International AI regulation
Creation of entertaining mobile products based on AI
Grigoriy Tkachenko, AI Factory
Alexey Posternak, InfraFund
Elizaveta Rozhdestvenskaya, Primer Capital
Sergey Toporov, Leta capital
Sergey Bogdanov, YellowRockets
NLP & CV day
20 Feb
09:00 – 10:00
09:00 – 10:00
Registration
10:00 – 10:15
10:00 – 10:15
Opening remarks
Igor Pivovarov, OpenTalks.AI
Founder & director of OpenTalks.AI
10:15 – 11:45
10:15 – 11:45
Computer vision - overview session
Conference hall
10:15 – 10:35
10:15 – 10:35
Computer vision - state of the art and what was important in 2019
Viktor Lempitsky, Samsung, Skoltech
10:35 – 10:55
10:35 – 10:55
Computer vision - state of the art and what was important in 2019
Anton Konushin, Samsung, HSE
10:55 – 11:10
10:55 – 11:10
CV - overview of business applications
Александр Крайнов, Yandex
11:10 – 11:25
11:10 – 11:25
CV - overview of biometric applications
Александр Ханин, VisionLabs
11:25 – 11:45
11:25 – 11:45
CV - overview of developer frameworks
Артур Кузин, X5 Retail Group
11:45 – 12:00
11:45 – 12:00
Coffee break
12:00 – 13:00
12:00 – 13:00
Parallel sessions
Human-centered AI: распознавание эмоций и физиологических сигналов по видео
Ольга Перепелкина, Neurodata L
CV applications in business
CV R&D
Samsung AI R&D seminar
CV science
Многокамерная видеоаналитика для ритейла и контроля персонала
Семен Буденков, IntelliVision
Анализ изображений реалтайм-потока данных социальных медиа
Григорий Островский, Brand Analytics
OpenVINO: Democratizing of neural network optimization
Anna Belova, Intel
Addressing the issues of using "real-data" for training visual AI systems through the use of Synthetic data
Chris Longstaff,
Mindtech Global
Mindtech Global
Мониторинг водителя транспортного средства с использованием камеры и сенсоров смартфона
Алексей Кашевник, СПИИРАН
Перцептивное повышение разрешения глубины на основе нейросетей
Linear Features Observation Model for Autonomous Robot Navigation
Еще один спикер будет объявлен дополнительно
Евгений Бурнаев, Сколтех
Oleg Schipitko,
Visillect Service
Visillect Service
Вычислительно-эффективные методы классификации изображений
на основе последова-тельного
анализа проекционных оценок
плотности вероятности.
на основе последова-тельного
анализа проекционных оценок
плотности вероятности.
Андрей Савченко, ВШЭ
Визуальные атаки, и как с ними бороться
Юрий Визильтер, ФГУП «ГосНИИАС»
Controlling Overestimation Bias with Truncated Mixture of Continuous Distributional Quantile Critics
Александр Гришин, Samsung
AdaptIS: Adaptive Instance Selection Network
Константин Софиюк, Samsung
Timelapse Video Generation from Single Image with GANs
Арсений Кузнецов, Samsung
CV business application cases
Technical talks for developers
Поиск плагиата в логотипах при помощи CV. Сохраняем интеллектуальную собственность с помощью искусственного интеллекта
Роман Доронин, Eora
Alexander Demidovskij , Intel
13:00 – 13:15
13:00 – 13:15
Coffee break
13:50 – 14:00
13:50 – 14:00
Parallel sessions
OCR в Почте: боремся с картинками от мошенников
Даниил Лысухин, Mail.ru Group
Fast cars detection and traffic estimation
Дмитрий Пагин, TrafficData
Модератор
Борис Зингерман, INVITRO
AI for government
Poster session
CV & PA
CV & PA
CV in healthcare
Михаил Петров, Счетная палата
Трансформация медицинской диагностики на основе искусственного интеллекта
Сергей Морозов, Научно-практический центр медицинской радиологии ДЗ города Москвы
Best Russian talks on A* conferences in 2019
Другие спикеры будут объявлены дополнительно
CV R&D
MRI acceleration using neural networks
Kastryulin Sergey ,
Philips Research
Philips Research
Василий Елистратов, Минобороны
Cases of CV in healthcare
Technical talks for developers
How AI is deployed for state needs
Искусственный интеллект для системы здравоохранения
Анна Мещерякова, Третье Мнение
Язык программирования D2PL: проблемы построения сложных безлюдных бизнес-процессов и способ их преодоления
Александр Прозоров, МФТИ
RecVAE: a New Variational Autoencoder for Top-N Recommendations with Implicit Feedback
Илья Шенбин, Samsung AI
Unpaired image-to-image translation for radiotherapy
Денис Прокопенко Philips Research Russia
Learning to select for a predefined ranking
Александр Воробьев, Яндекс Маркет
14:00 – 15:00
14:00 – 15:00
Lunch
15:00 – 16:15
15:00 – 16:15
NLP - overview session
Conference hall
15:00 – 15:25
15:00 – 15:25
NLP - state of the art and what was important in 2019
Валентин Малых, Huawei
15:25 – 15:50
15:25 – 15:50
NLP - overview of business applications
Аркадий Сандлер, МТС
15:50 – 16:15
15:50 – 16:15
NLP - overview of developer tools
Татьяна Шаврина, Сбербанк, НИУ ВШЭ
От сбора данных до универсальных моделей, решающих ЕГЭ
16:15 – 16:30
16:15 – 16:30
Coffee break
16:30 – 17:30
16:30 – 17:30
Parallel sessions
Платформы для чат-ботов и голосовых помощников: что есть сейчас и какое у них будущее
Станислав Ашманов, Лаборатория Наносемантика
NLP R&D
NLP science
NLP & healthcare
NLP in business
Virtual Assistants. Beyond the Comfort Zone
Nikolay Trzhaskal ,
MTS
MTS
Сравнение качества распознавания российских голосовых помощников
Дмитрий Муромцев, ИТМО
Поиск и интерпретация интентов и значимых фактов в речи собеседника: как обучать диалоговых роботов для бизнеса
Александра
Деханова,
NAUMEN
Деханова,
NAUMEN
Нейросетевой сентимент-анализ
Виктор Новиков, Brand Analytics
Мастерская знаний для профессионалов: технологии тематического моделирования и разведочного информационного поиска
Модератор
Hierarchical Decision Making by Generating and Following Natural Language Instructions
Style Transfer for Texts: Retrain, Report Errors, Compare with Rewrites
Компьютерный юмор: анализ и генерация смешного контента в системах общения
Towards Scalable Dimensionality Reduction via Noise Contrastive Estimation
Другие спикеры будут объявлены дополнительно
Другие спикеры будут объявлены дополнительно
Константин Воронцов, МФТИ, ФИЦ ИУ РАН
Иван Ямщиков, Институт Макса Планка
Денис Яратс, New York University and Facebook AI Research
Александр Артеменков, Сколтех
Павел Браславский, JetBrains Research/ВШЭ СПб
Сергей Арсеньев, НИИ Неотложной Детской Хирургии и Травматологии
How we collect data for Huawei voice assistant
Murat Apishev, Digital Decisions
Irina Piontkovskaya, Huawei
Irina Piontkovskaya, Huawei
Робот-оператор: Ожидания рынка, опыт применения и вызовы
Сергей Марков ООО "АБК"
Автоматическое извлечение таксономий из текстов: Современные подходы и тестирование
Наталья Лукашевич, МГУ, МГТУ им. Баумана
Кейсы применения NLP в бизнесе
Технические доклады для разработчиков
Кейсы применения NLP в медицине
Parsing social media posts finding drug adverse effects
Елена Тутубалина
Система контроля качества мед. документации.
Артем Астапов Doc+
17:30 – 17:45
17:30 – 17:45
Coffee break
17:45 – 18:30
17:45 – 18:30
Parallel sessions
Real-time agent assist в колл-центрах на основе распознавания речи - опыт внедрения в телекоме.
Михаил Горбатовский, IBM
Тематическое моделирование новостей на основе детекции цитирований
Алексей Бурнаков,
ТАСС
ТАСС
NLP R&D
NLP in Legal
Poster session
Strategy talk
Владимир Овчинский, МВД
Модератор
Цифровой эксперт по договорам на платформе PolyAnalyst – практический кейс использования цифровой платформы в юридическом департаменте ПАО «Сибур»
Алексей Русских, Мегапьютер Интеллидженс
Holger Zscheyge, Infotropic Media
Best Russian talks on A* conferences in 2019
Оксана Тарасенко, Минэконом развития РФ
Илия Димитров, Seldon
Дмитрий Ветров,
ВШЭ, Samsung
ВШЭ, Samsung
Let's talk about Russian AI strategy. Science, business and state.
Technical talks for developers
NLP cases for legal
Обработка данных для обучения нейросети на примере машинного перевода
Елизавета Иванова
Анонс NLP-конкурса с призовым фондом 100 млн
Юрий Молодых
АО "РВК"
АО "РВК"
RL & PA day
21 Feb
09:00 – 10:00
09:00 – 10:00
Registration
10:00 – 10:10
10:00 – 10:10
Opening remarks
Igor Pivovarov, OpenTalks.AI
Founder & director of OpenTalks.AI
10:10 – 10:50
10:10 – 10:50
AI Hardware
10:10 – 10:30
10:10 – 10:30
Overview of Huawei Ascend chipset for AI
Liu Yu, директор департамента интеллектуальных вычислительных систем Huawei в России
10:30 – 10:50
10:30 – 10:50
Coding AI in a Multi-Architecture Future!
Ralph de Wargny, Intel
10:50 – 11:00
10:50 – 11:00
Coffee break
11:00 – 12:00
11:00 – 12:00
Predictive Analytics and Recommendation Systems - overview session
Conference hall
11:00 – 11:20
11:00 – 11:20
Predictive analytics - state of the art and what was important in 2019
Андрей Устюжанин, ВШЭ, Яндекс
11:20 – 11:40
11:20 – 11:40
Predictive analytics - overview of current business applications
Эмели Драль, Mechanica.ai
11:40 – 12:00
11:40 – 12:00
GitHub - AI developer tools
Marko Berkovic, GitHub
12:00 – 12:15
12:00 – 12:15
Coffee break
12:15 – 13:15
12:15 – 13:15
Parallel sessions
Меняем парадигму анализа данных с датасетов на потоки
Сергей Мишин, Noosphere Technologies
Predictive analytics business applications
PA & RS R&D
Сhipset for AI
Применение ИИ для скоринга контрагентов при выдаче товарного кредита
Данил Лесоводский, Data Monsters
Artificial Intelligence for Demand Forecasting: how it really works
Alexander Fonarev, Rubbles
Startup pitch session
Константин Бурлаченко, Huawei
Илья Павлов, Северсталь
Можно ли доверять Искусственному интеллекту выплавку стали?
Матвей Флакс, Ольга Вагнер, Datana
Управление ЧПУ станками с помощью ML
Александр Смоленский, директор по развитию ИИ, Цифра
Ранжирование новых форматов в Дзене
Евгений Соколов, Яндекс
Искусственный интеллект. Придется поработать
Даниил Каневский, GoodsForecast
Безопасность ИИ - результаты глобального исследования
Александр Поляков
Повышение эффективности решений в части ценообразования и промо с помощью алгоритмов машинного обучения
Олег Данильченко, PwC
Модератор
Huawei technologies for AI developers
13:15 – 13:30
13:15 – 13:30
Coffee break
13:30 – 14:15
13:30 – 14:15
Parallel sessions
Investments to AI
Panel discussion
Как машинное обучение помогает планировать нейрохирургические операции
Максим Шараев, Сколтех
Ethics & governance
Poster session
Predictive healthcare
Panel discussion
Андрей Незнамов, Сбербанк
Как увеличить максимальную продолжительность жизни человека с помощью AI
Петр Федичев, Gero
Другие спикеры будут объявлены дополнительно
Наталья Подсосонная
Денис Ефремов
Лучшие российские докладчики международных конференций А* представят свои постеры
Обзор инвестиций в ИИ стартапы 2019
Модератор
Artificial Intelligence in the area of intellectual property
Elizaveta Afanaseva, IPChain
Влияние монополизации больших данных на развитие технологий Искусственного интеллекта
Екатерина Калугина, ООО "Дабл"
Влияние монополизации больших данных на развитие технологий Искусственного интеллекта
Введенская Елена, РНИМУ им. Н.И. Пирогова, ИНИОН РАН
14:15 – 15:15
14:15 – 15:15
Lunch
15:15 – 16:05
15:15 – 16:05
Reinforcement Learning - overview session
Conference hall
15:15 – 15:30
15:15 – 15:30
RL - state of the art and what was important in 2019
Сергей Николенко, ПОМИ РАН, Neuromatio
15:30 – 15:50
15:30 – 15:50
RL - overview of current business applications
Сергей Свиридов, Цифра
15:50 – 16:05
15:50 – 16:05
RL - overview of developer frameworks
Сергей Колесников, Тинькофф
16:05 – 16:15
16:05 – 16:15
Coffee break
16:15 – 17:00
16:15 – 17:00
Parallel sessions
Миварные технологии создания сильного логического искусственного интеллекта. теория и практика
Олег Варламов,МГТУ им. Н.Э. Баумана, НИИ МИВАР
RL in practice
AGI
Дорожная карта: от нейросетевой революции к AGI
Владимир Смолин, ФИЦ ИПМ им. М.В. Келдыша РАН
«Нейросетевая активность мозга: экспериментальные данные, компьютерное и математическое моделирование»
Виталий Верхлютов, ИВНД и НФ РАН
От узкого и слабого к сильному и общему
Антон Колонин, Aigents
Sample Efficient Reinforcement Learning
Alexander Panov, МФТИ, ИПИИ ФИЦ ИУ РАН
Reinforcement Learning и оптимальное управление трубопроводными системами энергетики
Александр Белинский, Газпром промгаз
Alexey Skrynnik, ИПИИ ФИЦ ИУ РАН
17:00 – 17:15
17:00 – 17:15
Lunch
17:15 – 18:15
17:15 – 18:15
AGI - overview session
Conference hall
17:15 – 17:35
17:15 – 17:35
AGI - state of the art and what was important in 2019
Alexey Potapov, SingularityNET
17:35 – 18:15
17:35 – 18:15
Distributed, compressive and implicit memory models
Sergey Bartunov, DeepMind
18:15 – 19:00
18:15 – 19:00
How AI is transforming the economy and society
Eugeny Kuznetsov
Conference hall
19:00 – 22:00
19:00 – 22:00
Night party
You have a wonderful afterparty for networking, drinking premium Russian wine and listening to rock bands from the AI industry!
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