Author Archives: Kliachkovski Danila

Why we still didn’t dive in numerous robotics startups

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In 2019, the robotics company Jibo filed for bankruptcy. Notably, Time magazine named Jibo’s eponymous social bot one of the best innovations of 2017. Failure to raise funding in time led to Jibo’s inglorious demise as well.

In April of that year, San Francisco-based robotics startup Anki closed up store, filing for bankruptcy. During its nine-year existence, the company developed such popular robot toys as Overdrive, Cozmo and Vector. CEO Boris Sofman blamed last-minute financial difficulties for the company’s closure.

Both Anki and Jibo were promising startups. Although Google-owned Schaft, Rethink Robotics and Mayfield Robotics showed great potential, they too eventually closed. If history is to be believed, robotics as a business is hard to sustain.

In 2020, a charming video of robots dancing to the 1962 hit “Do You Love Me” appeared on the Internet. The video featured robots from Boston Dynamics. The company is hugely popular for its nimble and smart service robots.

In recent years, however, Boston Dynamics has suffered major losses. In the fiscal year that ended in March 2020, the company posted a net loss of $103 million, a 60 percent increase over the year before. Later, automobile giant Hyundai came to the rescue of tBoston Dynamics and bought a controlling stake in the company.

So what explains the sad fate of some robotics pioneer companies?

Fresh Consulting analyzed significant case studies from Rethink Robotics to iRobot for its report “Why Robotics Companies Fail” and presented it on June 11 at a panel discussion moderated by James Dietrich of Fresh Consulting, with guest speakers Aaron Prater, senior advisor to the technology research and planning group at FedEx Express; Andra Kay, managing director of Silicon Valley Robotics and advisor on startup gas pedals, and Eric Klein, partner and founder of Lemnos Labs.

In a lively discussion, the speakers talked about what key success or failure factors were most likely in their experiences. Eric Klein says, “We are entering a golden era for applied robotics. It’s never been easier or cheaper from a technology standpoint to build robotics companies. But in terms of venture capital, there are still business barriers, especially in understanding customer economics.”

With his extensive experience at FedEx with robotics companies, Aaron Prater agrees that knowing and understanding the customer is the biggest reason startups fail. “One of the things we pay a lot of attention to at FedEx is making sure the technology fits the right use case. How well do you know your customer’s problems and needs?”

The struggle of robotics companies to keep their heads above water, as opposed to thriving AI companies, is a truly contrasting example. In the past 12 months, AI-focused startups have raised a total of $73.4 billion. In the same time period (through March 11, 2021), robotics startups have raised $6.3 billion, a paltry sum by comparison.

Andra Kay believes the lack of business fundamentals is the most critical mistake a young company faces. SM. SM. NEWS

First ride on Hyperloop, Apple chips in M1 and other top news this week Developing hardware is hard, and robotics is even harder. Developing robots requires knowledge and skills spanning several areas, including software, mechanics, electronics, electro-mechanics, and complex assembly. Getting machines to perform simple actions such as climbing stairs or moving around a room without encountering obstacles can be quite a challenge. This is one reason why most robots are limited to limited, repetitive tasks, as in the case of stationary industrial robots and semi-autonomous robots. The return on resources spent on R&D is far from optimal, making it difficult to sustain the business.

What’s next
Despite the looming uncertainty in the field, reports indicate that the robotics industry could grow from $76.6 billion in 2020 to $176.8 billion in 2025. The lack of demand for robots outside of a few areas, such as logistics and hospitals, has been cited as another major reason for the decline in growth.


The world’s giants and their latest AI solutions

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AI is implemented almost everywhere and in everything, but global companies, not tall as this girl, but quite high, past social networks and online shopping where the recommendation system actively takes part as a main favorite, are always interested in additional areas to bring innovation to the whole world, not one segment of it.

Facebook AI recently introduced TextStyleBrush, a system that analyzes a banner ad, newspaper or any other medium of text information in real time, allowing it to replace what is written on the medium with text that the user creates.

The model, which uses the underlying StyleGAN2 framework, handles both handwriting input and typography and is able to analyze various subtleties of style and account for transformations and deformations such as rotations and twists. The authors note, however, that improvements still need to be made, particularly in the realism of replacements on metal supports and in the handling of reflections.

A little while ago, Facebook also launched GrokNet, a unified computer vision model with which they intend to create the world’s largest social media shopping platform. The model is currently running on Facebook Marketplace. The company soon plans to expand GrokNet to new apps on Facebook and Instagram.

GrokNet detects the products in the picture and predicts their categories. Unlike previous models, Facebook’s product recommendation system is a universal model that scales to billions of photos vertically, including fashion, auto and home decor.

If we talk about computer vision, it is impossible not to mention Google, which are big fans in the practice of this branch, especially in the practice for various areas such as in this case, medicine.

The University of Waterloo has been noted as using artificial intelligence for its researches, in particular now – the detection of skin cancer. It was noted by Google, which subsequently presented their solution to detect skin diseases by photos in real time.

Приложение Google Health инструмент искусственный интеллект фотоанализ кожные проблемы болезни глубокое обучение

The user takes three pictures of an area of skin, hair or nails that they think has a dermatological problem and answers a few questions about their skin type and the problem itself (other symptoms, pain and/or how long etc.).

And for the development of AI itself, in particularly the participation of ordinary users who are not programming gurus, Apple is creating a non-code AI platform.

The platform allows machine learning researchers and non-technical geospatial specialists to experiment with domain-specific signals and datasets to solve different problems. It adapts complex spatiotemporal datasets to standard deep learning models, in this case convolutional neural networks (CNNs), and formulates disparate problems in a standard way, such as semantic segmentation.

Perhaps to maintain this platform, gurus like people who have devoted years to learning certain languages will act merely as mentors, because IBM has announced Project CodeNet, a large dataset that aims to help teach AI how to understand and write code by itself.

CodeNet features 500 million lines of code, 14 million examples, and spans 55 programming languages including Python, C++, Java, Go, COBOL, Pascal, and more. Projects such as OpenAI’s GPT-3 are showing how AIs are becoming quite adept at penning the languages of us humans, but writing their own native code could be innovative for finding another different methods to solve the problems with code.



A pierced married fisherman having acupuncture is more likely to get cancer than a drug addict?

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Recently I’ve been interested in watching interviews with people who have achieved something because their thoughts have led to results.YouTube recommendations came me across a video about a businessman, entrepreneur, owner of manufacturing, grocery supermarkets and the largest independent online bank in the world – Oleg Tinkov however this video was not about his successes, but about the illness that had recently appeared. It turns out that Oleg has blood cancer and has been undergoing rehabilitation in England for a year, which is only halfway. I was shocked and at the same time interested in this situation, because Tinkov is a man who can ride >100 km on a bicycle in a row, who does not deny himself to eat any and healthy food, who has a good family and friends relationships (at least what we can see). And then I was curious to look at other patients and their lifestyles in order try to find correlations, which can lead to such consequences.


So he got Leukaemia which is one of the most health global problems, in other words, cancer of the body’s blood-forming tissues, while hepatitis C infection is one of the drivers of blood cancer. Our exploratory data analysis aims to identify demographic characteristics, lifestyle/behavioural habits and risk factors associated with this infection and the resulting expected disease.

The database consists of patients (aged ≥18 years) in Kedah, Malaysia and their various hobbies or practices in which the patient or the potential patient may participate.

Some of Database Tables

The analysis begins with a review of the Acupuncture, Piercing, and Tattooing columns, which are being analyzed from the side of the infected people. Each group had a different number of people, recalling particular columns, of which those who used foreign objects as a service were subsequently identified, the number of all people brewing in the range (~200). The results demonstrate that the greatest demand was made for the piercing (72), which is ~2 times higher than tattooing (31) and 6 times higher than acupuncture (12).

To identify non-standard factors influencing disease, we also identified more standard by association, but no less influential, such as the relationship of prisoners to drug use. The resulting group provides an opportunity to experiment with its interaction with more ethical groups and perhaps even ridiculous ideas for connection, such as cosmetic codifications or cupping.


The approach described above has led us to some interesting insights, as you saw in the title and: a large number of sexual partners will not be good, and especially if the person happens to be married. Blood transfusions in the body can only improve the situation, but the opposite is more likely to occur if it happened before 1992. People who have a spouse with hepatitis and use cosmetic procedures have a slightly higher likelihood of becoming infected. Single pierced health care workers would be better off finding someone to reduce the infection risk.

Lifestyle impact on disease likelihood EDA

Anhelina Pugach
Danila Kliachkovski

The full research:

How artificial intelligence is shaping religion in the 21st century

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AI is fully embedded in everyday life and all areas of existence. Every day, our every choice about the ordered food or the post we liked in the social. the network affects the subsequent, progress has not spared religion either.

Muslims are delighted with apps like Muslim Pro, showing prayer times and sending notifications for sunset and sunrise. The Japanese have created a robot priest performing Buddhist rituals that cost 3 times less than human services.

Faith leaders are increasingly concerned with building humanoid machines, but the relationship between technology and religion has not always been smooth.

The fight against “machines” is divided into three stages: rejection, acceptance and adaptation. Due to the rapid development of technological progress, the initial negative reaction turns into support for the mainstream.

For example, a 400-year-old temple in Kyoto has a new priest named Mindar. Like other worshipers, he reads sermons and communicates with parishioners, although he has some features, such as a silicone metal case and the price of its exploitation (“services”) in a million dollars.

Mindar’s metal skeleton is naked and I think this is an interesting choice – its creator, Hiroshi Ishiguro, is not trying to make something that looks completely human.

Natasha Heller, assistant professor of Chinese religions at the University of

This statement provides a variety of technological influences on religious culture. Some believe that AI can interest the heavenly people, taking into account their interests and will become an object of worship itself, such as Anthony Lewandowski, who initiated a major lawsuit Uber / Waymo, which founded the first AI church called “Path of the Future.”

Others think that people tend to find their similarity in everything and the subsequent created machines will themselves determine their belonging to the culture, telling about their views and new possible religious visions.



Analysing material stress by images, future of physics and AI

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Engineering, physics – these fields of science can be named as BFF. Creators should even begin from the force of gravity law in order to make any mechanism work; each mech firstly has to fit some characteristics as form, consistency and its deformation capacity to proceed with. However, the equations solving can be computationally expensive, depends on material complexity.

MIT researchers decided to deeply focused on resolving and presented an Artificial Intelligence soft determining stress and strain of a material based on image recognition.

“This is always a difficult problem. It’s very expensive and it can take days, weeks or even months to run certain material simulations. So we thought, let’s teach an AI to solve this problem. […] From an image, the computer can predict all these forces: deformations, stresses, etc.”

Markus Buehler

An algorithm was developed by Zhenze Yang (lead author and PhD student in the Department of Materials Science and Engineering), Chi-Hua Yu (former MIT postdoc) and Markus J. Buehler (Director of the Atomic and Molecular Mechanics Laboratory and Professor of Engineering at McAfee), providing the possibility to implement connect computer vision and material in a real-time.

As data researches used different materials with various “from soft to hard” consistency. Main Machine Learning model was based on GAN (generative adversarial network) matching dozen of images to the future system in order to get the general “understanding” and as an addition be able to visualize micro details and singularities like cracks and other deformities.

In order to understand the pressure exerted with certain conditions objects were interpreted in random geometrical figures.


image strain

This visualization shows the deep-learning approach in predicting physical fields given different input geometries. The left figure shows a varying geometry of the composite in which the soft material is elongating, and the right figure shows the predicted mechanical field corresponding to the geometry in the left figure.

The recent innovation will open many doors in resolving estimating risk issues; a significant guarantee of constructions stability increase and revealing the potential of AI and computer vision in perspective.


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“Solar panels can generate more electricity if to make them turn”

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Idea that made an ordinary engineer a millionaire.

American entrepreneur Ron Corio has made a multibillion-dollar business in the production of trackers for solar panels.

Trackers – the mechanisms that move the panel towards the sun throughout the day, turned out to be a real gold mine. For decades, improving the devices that were once interesting to people, Ron Corio, provided his company with a capitalization of $4.6b.

Early in 1985 company named Wattsun Corporation, which developed low-cost solar “flat plates” needed a solution to place it in different angles. Ron Corio was the man for the job that started developing multi-tilt angle and eventually purchase shares of Wattsun in 1989, forming Array Technologies, Inc. as the world’s first solar tracking manufacturer in 1992.

The trackers were installed worldwide, but due to the market occupied by coal and other resources with huge deposits, the sun did not cause much demand. However, after the 2000s solar energy began to become a reality and Array started to grow significantly, winning tenders and constantly maximizing land occupancy.

Array’s main product is the DuraTrack system, which rotates photovoltaic panels on a single north-south axis throughout the day to follow the sun. Large-scale solar energy projects are usually arranged in consecutive ” rows “that form an”array”. The array can have dozens of rows with more than 100 solar panels in each row.

At the moment, Array Technologies is one of the world’s largest manufacturers of ground-mounted systems used in the solar energy business. Trackers increase the initial cost of a solar project but allow the panels to generate more energy compared to a fixed-tilt mounting system. Over the life of the project, this results in significantly lower level energy costs.


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Mookkie Smart Pet Bowl

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Representatives of the Italian technology company Volta presented at the CES 2019 exhibition a special smart bowl model Mookkie, designed for pets. The technology will help trace the nutrition of several pets.

Volta introduced the Mookkie Smart Pet Bowl

The novelty was equipped with a wide-angle special camera, which determines the animal with the help of effective recognition technology. Thanks to this system, the food compartment will be opened for certain pets. A clever bowl with recognition technology is equipped with a special closing compartment designed for food. When an animal gets into the field of view of a special camera, its face is analyzed by the built-in recognition algorithm. Each individual bowl will be assigned a specific pet. The compartments open if the camera of the device recognizes an animal.

The smart bowl in this case is synchronized with a special new application. With the help of the software, the owner of the animal receives notifications regarding the empty bowl, and the video that the camera shot. With this application, the user can customize the bowl. In this case, you need to provide a snapshot of the animal. A smart bowl will start selling for $ 189.



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AI will do many times more jobs than take

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Over the past few years, artificial intelligence has evolved so rapidly that now almost every month a new, even greater breakthrough in this area is emerging. In various areas, such as speech translation, medical diagnostics and games, computers are increasingly beginning to outperform people. And in the same way, they increasingly talk about how AI will affect people’s employment. Some fear that as artificial intelligence develops, people will have less and less work, which means that the number of unemployed people who are economically unable to compete with machines will grow.

This concern, albeit understandable, is unfounded. Moreover, artificial intelligence will be the greatest engine of work that the world has ever seen.

Artificial Intelligence: to strike or not?
On the one hand, it is possible to justify those who predict a massive loss of jobs from artificial intelligence. It is very easy to imagine that existing jobs will change under the pressure of a new technology, and it is very difficult to imagine what new jobs this new technology will provide us.

But if you think about it, radical technological advances are not at all a new phenomenon. Technology has been developing non-stop for 250 years, and in the US the unemployment rate remained at 5 to 10% almost all the time, even when radical new technologies appeared, such as steam energy and electricity.

But why look at steam energy or electricity. Just look at the internet. Let’s go back 25 years ago, in 1993. The Mosaic web browser just came out, and the phrase “surfing the Internet” was only a couple of months.


If someone asked you what the result of connecting several billion computers to a giant network with common protocols would be, you could imagine that you would have to send fewer emails, and the network would force you to read fewer newspapers. It may be possible to shop online. If you were especially far-sighted, you could even suggest that this technology will negatively affect the work of travel agents and stockbrokers. All people think that internet can destroy workplaces

But today we know what really happened. Of course, everything has changed. But the changes were unexpected. There are thousands of new companies worth trillions of dollars. We have improved almost everything on the planet that this technology has touched. Dozens of new careers have appeared, from web designers to data experts and online marketers. The cost of starting a business with global reach has plummeted, and the cost of communicating with customers and potential customers has dropped to almost zero. Huge repositories of information have become widely available and used by entrepreneurs around the world.

However, yes, we write fewer letters and buy fewer newspapers.

The development of artificial intelligence
And now a new, even more destructive in every sense of technology appears: artificial intelligence. And again people think that it will take jobs away.

Let’s look at a regular ATM. If you had to choose a technology that looked like it was going to replace all people, the ATM would be fine. But nevertheless, bank employees today are much more than ATMs. How so? Yes, everything is simple: ATMs have reduced the cost of opening bank branches, banks have opened more branches, inviting more people.


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Beer will be a scarce drink by 2099

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It is believed that climate change can deprive humanity of many foods. Scientists already have concerns that in the future the Earth will become unsuitable for the growth of some plants, and chocolate, wine and even Tabasco sauce will become inaccessible to humans. New research published in the journal Nature Plants Monday, suggests that by 2099, humanity may lose even the oldest beverage – beer.


The results of the study showed that due to the extremely hot conditions expected by 2099, barley yields will decrease from 3 to 17% worldwide. Depending on the region, the price of beer can rise from 52 to 300%. It turns out that today’s beer worth $ 4 in the future will cost from 6 to 24 dollars.

The work was based on the climate data for 1981-2010 and four climate models. Calculations showed that the greatest damage to the barley harvest will be inflicted in Russia, Ireland and Brazil – in these countries there is the most dramatic warming. However, the drink can become luxury, because Japan and Belgium can produce more beer.

According to scientists, in most regions, barley yields will remain at a satisfactory level. However, scientists did not pay attention to other factors that could ruin the crop. These include pests and natural disasters like floods.

The researchers recalled that due to the lack of beer, no one would die. Moreover, a smaller amount of its use can positively affect the health of the population.

This is not the only scientific research on the topic of beer. For example, in 2013, brewers cloned beer found on an 1840 vessel. In 2018, Australian brewers created beer with a reduced amount of gases specifically for astronauts.



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The beginning of the construction of the largest optical telescope in the world

Reading Time: 3 minutesA promise to open the door to new astronomical research. Mountain Mauna Kea on the island of Hawaii, Australia, South Africa, northwestern China, as well as the Atacama desert, located in Chile, the climate in these areas will be built immediately after several installations. vast expanses of space, but also consider.

One of such facilities will be the Extremely Large Telescope (ELT) of the European Southern Observatory – the largest optical telescope of the new generation, equipped with a complex composite mirror with a diameter of 39 meters.

The main phase of the construction of the ELT began in May 2017, after several years of disputes and discussions on this topic. The object will be released in 2024. The total cost of the project is estimated at 1.12 billion dollars. In 2018, the cost of the telescope is 1.23 billion dollars. According to the latest forecasts, by 2024 the cost of the entire project should be about 1.47 billion dollars (with a inflation rate of 3%).

The construction of such a system is necessary in a higher region, where the effectiveness of observers will not depend on changes in the atmosphere and light pollution. The construction site must have an ideal flat surface. In search of years, the European Southern Observatory in this place and eventually decided to create their own – on top of Mount Armasones in Chile. As seen in the photos below, the builders have already laid the foundation for the future telescope.



The capabilities of the ELT will be in its main mirror, which will be constructed from 798 hexagonal parts, each with a diameter of 1.4 meters. A huge 39-meter mirror will be assembled from these pieces, which will receive data with the highest level of quality that none of the existing telescopes are capable of.


For example, the Very Large Telescope (VLT) – currently the largest and most technologically advanced optical telescope – is a design of four auxiliary 1.8-meter optical telescopes and four separate 8.2-meter telescopes, connecting in one system. The angular resolution of the VLT was equivalent to a telescope with a solid mirror up to 200 meters. The viewing area will be a hundred times larger, it will be able to observe immediately a huge number of light sources, also noting objects with a significantly lower level of brightness, which current telescopes are not capable of observing.

The resulting images will not need serious processing because the ELT diaphragm will be inseparable. According to the engineers, the ELT will be 200 times more efficient than the Hubble, making it the most powerful telescope operating in the infrared and optical ranges.

Project developers note that due to adaptive optics
and ELT will be able to conduct a direct observation of exoplanets located in the orbits of distant stars, which is currently very rare among current telescopes.


Due to the fact that the telescope will actually be the most powerful in its class and will be able to carry out observations on the partial for stony exoplanets, then one of its tasks will be to study the worlds of the atmosphere.
And this is not all of its potential opportunities. For example, with the help of this telescope, scientists will be able to directly measure the rate of expansion of the Universe, find out the role of dark energy in the evolution of space. There is an opportunity to more accurately study the past of space, astronomers will be able to create more accurate models of step-by-step development of the Universe.


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