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deepsense.ai together with Brainly to share NLP insights at AI & NLP Day 2021

deepsense.ai together with Brainly to share NLP insights at AI & NLP Day 2021

October 9, 2021/in Press release /by deepsense.ai

On October 25-26, the 4th edition of AI & NLP Day (online) will take place. As it has every year, the conference will attract specialists in the field of artificial intelligence and natural language processing.

During the event, Artur Zygadło (Senior Data Scientist at deepsense.ai) together with Gianmario Spacagna (Director of Artificial Intelligence at Brainly) are presenting a lecture on “Automated Content Quality Assurance for Crowdsourcing Educational Platforms.” Gianmario and Artur will analyze the Brainly Social Q&A platform that allows more than 350M students worldwide to ask questions and seek help in their homework and studying. The talk will cover some modeling and engineering aspects of building NLP systems.

https://deepsense.ai/wp-content/uploads/2021/10/deepsense.ai-together-with-Brainly-to-share-NLP-insights-at-AI-amp-NLP-Day-2021.png 700 1920 deepsense.ai https://deepsense.ai/wp-content/uploads/2019/04/DS_logo_color.svg deepsense.ai2021-10-09 19:50:282021-10-09 19:50:28deepsense.ai together with Brainly to share NLP insights at AI & NLP Day 2021
deepsense.ai supports young scientists in the conquest of space

deepsense.ai supports young scientists in the conquest of space

October 4, 2021/in Press release /by deepsense.ai

deepsense.ai supported students from the no. VI High School in Bydgoszcz in carrying out a space probe project, as part of the international CanSat competition organized by the European Space Agency (ESA). On September 19, 2021 the probe was launched into the sky.

During the Congress of Polish Physicists in Bydgoszcz, a special balloon took the probe up over 40 km, passing through the stratosphere. The collected data was analyzed from a physical point of view and a special web application was used to visualize their findings.

“Visiting the no. VI High School students is always a great pleasure for me. I’m very impressed with the commitment these young people have towards broadening their knowledge and overcoming new challenges.”

– Patryk Miziuła, Senior Data Scientist at deepsense.ai.

The mathematical and IT profiled “Euclid” class from no. VI High School of Jan and Jędrzej Śniadeckich in Bydgoszcz has been supported by deepsense.ai for the last 3 years. Under this patronage, deepsense.ai staff conduct meetings with the students on artificial intelligence and related issues. The most recent workshop, titled “Machine learning – how to start” and delivered by Patryk Miziuła, took place over two days in September.

https://deepsense.ai/wp-content/uploads/2021/10/deepsense.ai-supports-young-scientists-in-the-conquest-of-space.jpeg 700 1920 deepsense.ai https://deepsense.ai/wp-content/uploads/2019/04/DS_logo_color.svg deepsense.ai2021-10-04 16:22:462021-10-04 16:26:19deepsense.ai supports young scientists in the conquest of space
See you at VISION 2021 in Stuttgart

See you at VISION 2021 in Stuttgart

September 21, 2021/in Press release /by deepsense.ai

deepsense.ai is pleased to announce its participation at VISION Stuttgart (Oct 5-7) – the world’s leading trade fair for machine vision, where we will present our state-of-the-art services.

VISION provides a unique overview of the entire range of machine vision products and services together with insights into current and future technologies.

Combining visual control technology with machine learning, deepsense.ai is able to tackle complex problems that can’t be solved with simple solutions based on human effort alone. We create diverse AI-driven, computer vision-based solutions that take on the most demanding challenges across diverse environments.

“After a year away because of COVID, we are enthusiastically returning to the VISION trade fair. We value and look forward to having direct meetings with clients, both old and new, and we’ll be happy to engage in discussions about their challenges and potential computer vision solutions”

– Dawid Nguen, business manager at deepsense.ai.

The deepsense.ai team looks forward to seeing you in Stuttgart. Come and visit us in hall 8 stand C20.

https://deepsense.ai/wp-content/uploads/2021/09/See-you-at-VISION-2021-in-Stuttgart.png 700 1920 deepsense.ai https://deepsense.ai/wp-content/uploads/2019/04/DS_logo_color.svg deepsense.ai2021-09-21 18:16:272021-09-21 18:28:54See you at VISION 2021 in Stuttgart
deepsense.ai to share its enterprise AI expertise at AI World Executive Summit: The Future of AI

deepsense.ai to share its enterprise AI expertise at AI World Executive Summit: The Future of AI

June 8, 2021/in Press release /by deepsense.ai

Taking place online on July 14, this year’s AI World Executive Summit will bring together innovators and thought leaders from across this diverse ecosystem and deliver key knowledge for participants to bring back to their organizations. deepsense.ai has been a strategic partner of AI World summits since the first conference and will again this year be supporting the event.

deepsense.ai VP of Engineering and Board Member Michał Iwanowski will share insights about the development of AI for enterprise during the session “To Make or to Buy – How to Get the Best of Both Worlds in Your AI Transformation.”

“I’m always pleased to actively participate in AI World conferences, because it is a great place to discuss AI applications with practitioners. This year I would like to present deepsense.ai’s expertise in the area of successful enterprise AI deployments. There is no question that enterprises that can successfully leverage the potential of AI will be the ones to get ahead. While businesses are certain about the goals they want to use AI for, how to execute and deploy it successfully remains a difficult question. I’m looking forward to providing some useful insights on that question,”
– Michał says.

The AI World Executive Summit is organized by AI Trends, the leading industry media channel focused on the business and technology of AI.

https://deepsense.ai/wp-content/uploads/2021/06/deepsense-ai-to-share-its-enterprise-ai-expertise-at-ai-world-executive-summit-the-future-of-ai.png 700 1920 deepsense.ai https://deepsense.ai/wp-content/uploads/2019/04/DS_logo_color.svg deepsense.ai2021-06-08 07:04:242021-06-08 11:03:05deepsense.ai to share its enterprise AI expertise at AI World Executive Summit: The Future of AI
deepsense.ai names Michał Iwanowski to Management Board

deepsense.ai names Michał Iwanowski to Management Board

May 7, 2021/in Press release /by deepsense.ai

deepsense.ai is pleased to announce that its Management Board has welcomed Michał Iwanowski as a new Board Member. Following this appointment, the Board will comprise 3 directors – Tomasz Kułakowski as CEO, Robert Bogucki as CTO and Michał Iwanowski as VP of Engineering.

“I have had the pleasure of working with Michał over the last 7 years and observe the development of his professional career with great satisfaction. I am more than pleased to welcome him to the deepsense.ai Management Board”,
said Tomasz Kułakowski, CEO

A technical executive with a background in systems engineering, data analytics and machine learning, Michał has been involved in deepsense.ai’s development from the very beginning. His experience ranges from delivering international AI projects for global clients to shaping the company’s overall strategy. As VP of Engineering Michal manages teams of software engineers and data scientists working on various projects to create state-of-the-art deep learning-based solutions for computer vision, NLP and predictive analytics.

“I am extremely honored and excited to take on this additional role of Board Member. I am committed to continuing my work helping deepsense.ai develop both in business and technology”,
Michał said

https://deepsense.ai/wp-content/uploads/2021/05/deepsense.ai-names-michal-iwanowski-to-management-board.jpeg 700 1920 deepsense.ai https://deepsense.ai/wp-content/uploads/2019/04/DS_logo_color.svg deepsense.ai2021-05-07 18:16:392021-05-10 19:16:39deepsense.ai names Michał Iwanowski to Management Board
deepsense.ai joins Silicon Valley Innovation Platform

deepsense.ai joins Silicon Valley
Innovation Platform

April 7, 2021/in Press release /by deepsense.ai

deepsense.ai has been selected to be a part of Silicon Valley Innovation Platform run by the Plug and Play Tech Center, the world’s largest early stage investor, accelerator, and corporate innovation hub. During the selection process deepsense.ai beat out over 1000 innovative tech companies from all over the world.

The mission of the Plug and Play Tech Center is to drive innovation by connecting entrepreneurs, corporations, and investors worldwide. With its expanded ecosystem consisting of over 500 corporate partners and 200 venture capitalists, Plug and Play matches the world’s largest corporations with cutting-edge technology. Plug and Play was an early investor in Google, PayPal, Dropbox, LendingClub, N26, Soundhound, Honey, Kustomer, and Guardant Health.

‘To be recognised by such a prestigious organization as Plug and Play is a tremendous achievement for our company. I’m extremely proud of deepsense.ai’s development and excited about the new business opportunities the Silicon Valley Innovation Platform can bring us,’ says Michał Iwanowski, VP of Engineering at deepsense.ai.

As part of the acceleration process, deepsense.ai will participate in a 12-week Insurtech business development program focused on tech innovations in the insurance industry.

https://deepsense.ai/wp-content/uploads/2021/04/deepsense.ai-joins-Silicon-Valley-Innovation-Platform.jpeg 700 1920 deepsense.ai https://deepsense.ai/wp-content/uploads/2019/04/DS_logo_color.svg deepsense.ai2021-04-07 09:00:002021-04-07 09:33:35deepsense.ai joins Silicon Valley
Innovation Platform
2020 - the year in review

2020: the year in review

January 12, 2021/in Press release /by deepsense.ai

Tomasz Kułakowski, CEO, talks about how deepsense.ai entered the new decade and dealt with the new business reality.

How do you rate the past year?

I won’t be original if I say that the past year has been full of challenges. From a global perspective, we can talk about the crisis, the interruption of supply chains and paralysis in many segments of the economy. However, the market uncertainty affected the IT industry to a lesser extent. Analysts predict a continuous increase in the value of services related to cutting-edge AI-focused technologies.

2020 has definitely taught us humility and perseverance. At the same time, we made sure that, as a company, we are moving in the right direction. Our business model, persistence in achieving goals and world-class expertise have together enabled us to proactively react to enormous market changes and flexibly approach the new business reality taking shape.

What are you most proud from the past year?

Unquestionably, I can say I’m most proud of the great responsibility and commitment all of deepsense.ai’s team members have shown. I have never doubted our team’s spirit, knowledge and competence. However, only crisis situations such as the Covid-19 pandemic are the real test. Today, I’m totally convinced that nothing is impossible for us.

My optimism is confirmed by the rankings. Last year, Robert Bogucki, CTO of deepsense.ai, was named to the prestigious Forbes 30 Under 30 list of young visionaries. Moreover, our company was awarded an honorable mention in the big data ecosystem of the most impactful companies on the insideBIGDATA IMPACT 50 List for Q4 2020.

It is said that if a company survives in the market for 5 years, it will survive anything. We faced Covid-19 in our 6th year of operation. We not only survived, but as an organization also grew up at a much faster pace.

What were the biggest challenges for deepsense.ai in 2020?

The biggest challenge for us was convincing our clients that despite the uncertain situation on the market, it is worth continuing work on AI projects, as they will provide real business value.

It was also crucial for us to maintain team spirit and effectively work almost 100% remotely, without disrupting the company’s high level of customer service.

Continuing to invest in projects developed within the R&D Hub was also of vital importance. Many of our clients appreciated the fact that we continued our research and drew inspiration from a changing world.

What are deepsense.ai’s plans for 2021?

The year 2020 has confirmed that AI-focused solutions are the natural next stage in the development of the modern world. Improvements based on computer vision, natural language processing and predictive analytics enable the automation and optimization of various business processes. These will accelerate the pace of recovery from the crisis. Many of our clients have told me that if they had implemented AI solutions before the pandemic hit, the crisis would have impacted their business much less severely. Such insights allow us to set ambitious goals for 2021.

Approximately 85% of our revenue currently comes from the US and Western Europe, and we plan to expand our presence on these markets. We will also continuously invest in research on the development and commercialization of new technologies within the R&D Hub. Last but not least, we want to maintain our leading position in reinforcement learning research.

I hope the new year will bring deepsense.ai the opportunity to unleash the energy we’ve accumulated in 2020. That will mean finding more outlets for our creative and analytical powers in industry and research. It will also mean redoubling our energy and efforts to take on new opportunities the new year brings.

https://deepsense.ai/wp-content/uploads/2021/01/2020-the-year-in-review.jpg 700 1920 deepsense.ai https://deepsense.ai/wp-content/uploads/2019/04/DS_logo_color.svg deepsense.ai2021-01-12 08:00:172021-01-12 08:32:562020: the year in review
deepsense.ai paper to be featured at ICLR spotlight

deepsense.ai paper to be featured at ICLR spotlight

January 17, 2020/in Press release /by Konrad Budek

“Model-Based Reinforcement Learning for Atari,” a research paper written by a consortium of authors, has been chosen for a spotlight presentation at the International Conference on Learning Representation. Only 5% of the papers submitted receive this distinction. Two of the leading authors, Piotr Miłoś and Błażej Osiński, are both researchers and senior data scientists at deepsense.ai.

The paper describes research conducted in cooperation with Google Brain, the University of Warsaw and the University of Illinois at Urbana-Champaign.

The high-level goal described in the research is how to enable an AI model to learn useful behaviors by interacting with its environment. In this case, the environment was Atari games, which offer tasks that are simple yet challenging enough to test the research concept. The results of the experiment can be extrapolated to more challenging tasks in increasingly complex environments. The model the deepsense.ai researchers designed learned how to play the games thanks to an extensive chain of trial and error.

An extension of the research might be a robot acquiring skills while moving objects, such as putting dishes in a dishwasher or refrigerator. Such interactions can be costly – the robot will drop any number of dishes along the way, so it takes time and resources for it to train itself thoroughly enough to learn to carry out its tasks efficiently.

To tackle the challenge of expensive interactions, we increase the system’s learning efficiency by endowing it with a predictive module that can imagine the consequences of actions without actually executing them. The module is trained along with this skill and it is used to perform short inner simulations. These simulations substitute most of the interactions normally required by reinforcement learning, resulting in better sample efficiency.

Details about the research are available in the full arXiv preprint, while the press release and an article about artificial imagination can be found on deepsense.ai’s blog.

“We are proud and excited to see our work recognized at one of the most renowned scientific conferences in the world,”
– says Piotr Miłoś, senior data scientist at deepsense.ai and a professor at the Polish Academy of Science.

Reinforcement learning in spotlight

“Spotlight” is a short oral presentation reserved for papers of particular distinction. With only 5% of submitted papers honored this way, the privilege comes amidst our work gaining critical attention in the AI research community. The arXiv paper has been cited more than 50 times in just 10 months, a testament to its significance for other researchers in the field.

This year’s conference, the eighth, will be held in Addis Ababa, Ethiopia, and is hoped to encourage researchers from Africa and the Middle East to take part. Despite its short history, the conference is currently among the most important deep learning-related scientific events  in the world. The conference publication is recognized on Google scholar as the 42nd most important scientific publication globally.

The conference provides an interesting insight into the development of Artificial Intelligence and is a great way to keep abreast of the latest trends. deepsense.ai has recently used machine learning tools to review the papers submitted to the conference. The analysis showed that reinforcement learning is among the most significant and recurrent trends in machine learning today. Further information on trending topics on the ICLR conferences can be found in deepsense.ai’s analysis.

“Presenting our research on spotlight is a great honor and proof that our contribution to the machine learning community and development is recognized,”
– concludes Błażej Osiński, a senior data scientist and deepsense.ai researcher involved in the project.

This success is the result of deepsense.ai’s strong commitment to R&D. Just a month ago two other papers were presented at NeurIPS workshops, another top-tier AI conference. These included “Developmentally motivated emergence of compositional communication via template transfer” and “Simulation-based reinforcement learning for real-world autonomous driving”.

The full list of paper authors: Lukasz Kaiser, Mohammad Babaeizadeh, Piotr Milos, Blazej Osinski, Roy H Campbell, Konrad Czechowski, Dumitru Erhan, Chelsea Finn, Piotr Kozakowski, Sergey Levine, Afroz Mohiuddin, Ryan Sepassi, George Tucker, Henryk Michalewski

###

About deepsense.ai:

brand-manager-at-deepsense

https://deepsense.ai/wp-content/uploads/2020/01/deepsense.ai-paper-to-be-featured-at-ICLR-spotlight.jpg 700 1920 Konrad Budek https://deepsense.ai/wp-content/uploads/2019/04/DS_logo_color.svg Konrad Budek2020-01-17 10:00:392021-01-11 15:17:36deepsense.ai paper to be featured at ICLR spotlight
deepsense.ai research presented at NeurIPS 2020

deepsense.ai research presented at NeurIPS 2020

December 20, 2020/in Press release /by deepsense.ai

It is the second time deepsense.ai researchers have presented at the NeurIPS conference. In the most recent installment of the world’s most closely watched AI conference, Piotr Miłoś described CRTS research during the Machine Learning for Autonomous Driving workshop. The presentation continued deepsense.ai’s fruitful cooperation with Volkswagen on training autonomous vehicles in a simulated environment.

The R&D project was conducted by a team of researchers including deepsense.ai’s Miłoś and Michał Martyniak, as well as Błażej Osiński, Adam Jakubowski, Paweł Zięcina, Christopher Galias, Henryk Michalewski together with Volkswagen researchers Silviu Homoceanu and Antonina Breuer.

“During this stage of the project we developed a port of real-life traffic footage into the CARL simulator, which we called CARLA Realistic Traffic Scenarios (CRTS). The aim was to provide a training and evaluation ground environment for obtaining better driving policies. We believed that an agent developed within the CRTS scenarios would behave more naturally when deployed, due to the simple fact that it has had a chance to encounter more realistic situations while training,”
explained Miłoś, who in addition to working as a researcher at deepsense.ai is a professor at the Polish Academy of Sciences.

The collaborative research has led to a number of noteworthy breakthroughs. The artificial agent obtained with reinforcement learning has become “more dynamic” than the reference human driver. That it drives faster is one example of how. Being able to use simulation for such experiments offers crucial advantages, including being less expensive and less time-consuming. Over the combined experiments, the team generated over 100 years of simulated driving experience.

The observations that resulted from the experiment bring valuable benefits both for scientific and commercial projects focused on real-life developments of autonomous cars. Details of the research are described in the team’s paper as well as on the project’s website.

https://deepsense.ai/wp-content/uploads/2021/01/deepsense.ai-research-presented-at-NeurIPS-2020.jpg 730 1920 deepsense.ai https://deepsense.ai/wp-content/uploads/2019/04/DS_logo_color.svg deepsense.ai2020-12-20 12:00:222021-01-14 17:16:24deepsense.ai research presented at NeurIPS 2020
deepsense.ai and Volkswagen deliver the breakthrough in autonomous car research

deepsense.ai and Volkswagen deliver breakthrough in autonomous car research

December 23, 2019/in Press release /by Konrad Budek

deepsense.ai and Volkswagen show that an autonomous vehicle trained entirely in simulation can drive in the real world. The team transferred its neural network into a real car, providing it with over 100 years’ driving experience before the real-world engine had ever started.

Researchers from deepsense.ai recently presented their work on training an autonomous vehicle in a simulated environment and then transferring the model into a real-world vehicle. The team presented their paper during a workshop at the 2019 Neural Information Processing System conference in Vancouver, BC.

“Moving the neural network policy from the simulator to reality was a breakthrough and the heart of the experiment. We have run multiple training sessions in the simulated environment, but even the most sophisticated simulator delivers different experiences than what a car encounters in the real world. This is known as the sim-to-real gap. Our algorithm has learned to bridge this gap,” explains Piotr Miłoś, deepsense.ai researcher and a professor at the Polish Academy of Sciences. „That we actually rode in a car controlled by a neural network proves that reinforcement learning-powered training is a promising direction for autonomous vehicle research overall.”

The experiment was conducted by a team of researchers including deepsense.ai’s Błażej Osiński, Adam Jakubowski, Piotr Miłoś, Paweł Zięcina and Christopher Galias, Volkswagen researcher Silviu Homoceanu and University of Warsaw professor Henryk Michalewski. The team not only trained a model that controls a car in a simulated environment but also executed test drives in a real car at Volkswagen’s testing facility. The car navigated through real streets and crossroads, performing all sorts of real-world driving maneuvers.

Over 100 years of driving experience

The technique the deepsense.ai-Volkswagen team used was innovative for two reasons. First, the neural network was trained in a simulated environment and later transferred to a real car. Second, the neural network was trained using a reinforcement learning paradigm.

Being able to use simulation offers crucial advantages. First, it is cheaper. In their combined experiments, the team generated some 100 years of simulated driving experience. Racking up so much experience in a real car isn’t feasible. Training in a simulator can also be done much faster. The agent can experience all manner of danger, from simple rain to deadly extreme weather, accidents and full-blown crashes, and learn to navigate or avoid them. Subjecting an actual driver to such hazards would be prohibitively complicated, time-consuming and ethically unacceptable. What’s more, extreme scenarios in the real world are relatively uncommon but can be brought on in a simulator at the snap of the fingers.

“It was exciting to see that our novel approach worked so well. By further exploring this path we can deliver more reliable and flexible models to control autonomous vehicles,” explains Błażej Osiński. “We tested our technique on cars, but it can be further explored for other applications.”

Shaping the behavior

Reinforcement learning allows a model to shape its own behavior by interacting with the environment and receiving rewards and penalties as it goes. The model’s goal is, ultimately, to maximize the rewards it receives while avoiding penalties. An autonomous car receives points for driving safely and complying with the traffic laws.

Reinforcement learning delivers a more flexible model that can adjust itself to a changing environment and react accordingly in new situations. Simulating every road condition that can occur is impossible, but shaping a set of guidelines like “avoid hitting objects” or “protect passenger from any and all harm” is not. Ensuring the model sticks to the guidelines makes it more reliable, including in less common situations it will eventually face on the road.

Technical details of the research are described in the team’s white paper, available on arxiv. At the 2019 Neural Information Processing Systems conference in Vancouver, BC,  over ten thousand participants took part in sessions and workshops on artificial intelligence. The team presented its paper during the workshop Machine Learning for Autonomous Driving (https://ml4ad.github.io/) organized by researchers from UC Berkeley, Carnegie Mellon University, Columbia University, and Waymo.

###

About deepsense.ai:

brand-manager-at-deepsense

https://deepsense.ai/wp-content/uploads/2019/12/deepsense.ai-and-Volkswagen-deliver-the-breakthrough-in-autonomous-car-research.jpg 700 1920 Konrad Budek https://deepsense.ai/wp-content/uploads/2019/04/DS_logo_color.svg Konrad Budek2019-12-23 17:00:542021-01-11 15:19:22deepsense.ai and Volkswagen deliver breakthrough in autonomous car research
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