Author Archives: Kaczmarek Robert

Reinforcement learning by Boston Dynamic

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Robot legs called Cassie have become one of the new R&D project of Boston Dynamic next to spot, atlas and other fantastic creations. Two-legged robot learned a range of movement from scratch including crouching with a load

Despite the multiple simulations in virtual environments the transfer the models into the real world is a bit tricky, small differences of for example friction can trip over the robot due to the lacking data from simulation. when a robot tries to apply what it has learned. A heavy two-legged robot can lose balance and fall if its movements are even a tiny bit off.

In this case Boston dynamics applied double simulation where the Cassie learned from the virtual and real environment. The data collected from the real world was transferred to environment called SimMechanics that mirrors real-world physics with high degree of accuracy

The real Cassie was able to walk using the model learned in simulation without any extra fine-tuning. It could walk across rough and slippery terrain, carry unexpected loads, and recover from being pushed. During testing, Cassie also damaged two motors in its right leg but was able to adjust its movements to compensate.


Tinder as a medium of help

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10 typów mężczyzn z Tindera. Na kogo trzeba uważać? -

April 2021 India is under huge new wave of novel corona virus. The hospitals are lacking in equipment and staff. Around social media people are tracking down oxygen, drugs and lacking medical equipment. Government is almost helpless with occurring situation.
Sohini Chattopadhyay 30, with a group of her friends were struggling to finds donors of plasma on all sort of social medias with no results.
Chattopadhyay finally decided to use tinder to find the donors of the blood.

She and another friend of hers created profiles each on the dating service and were swiping right of anyone who looked healthy and was close to their age. they managed to find the donor with the right blood type who was willing to donate the plasma.

“I was pretty touched,” says Chattopadhyay. “What started as a desperate joke turned out to actually give us some leads, and in this case also found someone willing to donate.” 

Although a Tinder match for convalescent plasma may be a one-off success story, it represents the myriad ways India’s residents are going online to help their loved ones as the country faces around 350 000 new covid cases a day, a dramatic spike that began in early April. And without enough government action or information, ordinary citizens are turning to social media to crowdsource everything from financial help to medical equipment. They’re inundating Twitter and Instagram with requests for hospital beds, oxygen supplies, antiviral drugs, and convalescent plasma donors; they’re creating Google docs, websites, and web apps to aggregate what’s being shared and to play matchmaker between buyers and sellers. 


Fake Faces with Nvidia

Reading Time: < 1 minuteRecently Nvidia (one of the biggest chip producers) created a project using GANs neural network.

Basically, the programme generates new faces of people, who never existed. It uses data which was fed initially into it and uses it to create a new face. The face features elements of chosen age, skin color or even details like freckles. The video below shows how the faces are generated using sample photos.

Personally I’m amazed with the technological progress which happened within the last 3 years. This technology will definitly be used in video games in the upcoming years. What’s more, the use of GANs neural networks is still at its very beginning but it will have more usage with time. I think it will be used for example to replace interior decorators in the spectrum of the next 5 years. On the other hand it will also boost the quality of deep fakes and will definitly be used to manipulate data. What do you think? Let me know what are your thoughts?Personally i’m amazed with the technological progres which happend within last 3 years. This technology will definitly be used in video games in few years, What’s more the use of GANs neural networks is still at its very begining but it will have more usage with time, for example i think it will be used to replace interior decarators in the time of 5 years. On the other hand it will also boost the quality of deep fakes with will definitly be used to manipulete data.

What do you think let me know.


Deepfake and their future

Reading Time: < 1 minuteWhat are deep fakes and what will be their future

Deepfake is a combination of word deep learning and fake. Basically deepfake are videos which use already existing image to combine with a video just like the one below with Nicolas Cage. Mainly deepfakes were used to create fake news and hoaxes.

Right now even in initial state of deepfakes it is hard do distinguish real video from the fake one. In the future it will be even harder with development of this tech and huge amount of data available in the web. For example fake videos of celebrities or politicians already exists which are almost perfect. Despite the video itself but also audio and specific facial movements of person can be “trained” if there is enough data. the video below shows previous US president Barack Obama

It only shows that we already need to double check crucial information because there are people who finds joy in creating false visions. What’s more deepfake’s algorithms can be used other way around to check videos if there was any interference of AI.
This technology on the other hand can help upgrading video chats it uses much less data that actual streaming. This for me is only positive aspect of usage deepfakes right now, with good timing this tech can destroy numerous peoples’ lives, just like it happened with Gal Gadot whose face was used in porn video.


The future of the deepfake — and what it means for fact-checkers

Touching the sky with Rirchard Branson

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A project Virgin Galactic which have been around for 14 years almost hits commercial market.  Sir Richard Branson spent over 1 bn dollars of his own and 300 mln dollars from investors to finally reach an important milestone. Virgin Galactic spaceship 2 reached altitude of over 80 km  which is consider a boarder of space in United States.

Entrepreneur claims he will use his vehicle to get to the space within 3-4 test flights. Over 600 people are already waiting for commercial use of Branson’s project which probably will start in 1 year.

The spaceship (first picture) will take 8 people to the boarder of space 2 pilots and 6 passengers. it will be uplifted thanks to Whiteknight two ( second picture) at the altitude of 15 km and then little spacecraft will start it trusters and get customers to the edge of space.

Znalezione obrazy dla zapytania virgin galactic

Despite the fact Virgin galactic haven’t started yet it already have competition thanks to another giant company which is Amazon. Jeff Bezos have the same ambition of taking people to the edge of space but to the international one which is Karman line (around 100 km). On the other hand Branson accepts that and claims that this area of bussines will have enough space for both of them but not anyone else.

This will change change definitly the turistic market forever and will bring it closer to interplanetar travels.



Google’s Deepmind new AI predicts folding of proteins

Reading Time: < 1 minuteThe 13th Critical Assessment of Structure Prediction (competition) took place on 2nd of December 2018. Deepmind showed their latest project AlphaFold during this event.

How AlphaFold works ?

First of all this program gets a sequence of amino acids which later on are analysed thanks to neural network and data base. Then it predicts angels of connection of amino acids and the distance between them. At last it creates 3D model (like the ones above ).

In the contest the AI competed with human teams and made the most accurate prediction 25 times ( out of 43 tests ).

Thanks to predicting how proteins fold, in future we will understand diseases such as Alzheimer’s, Parkinson’s, Huntington’s or  cystic fibrosis and maybe we will figure out how to cure them. We will also gain more knowleage how different proteins could react to one another  or what physical properties they have.

Project AlphaFold is based on previous Alphas (e.g. AlphaGo) which were mainly AI created to beat humans at games and to learn how AI works. Now this AI will help scientists create new ideas, for example how to improve cures, develop new theories or create new materials made of proteins.

AI just a few years ago was something futuristic but now rapidly developes into everyday solution in different fields of our life.



AI versus cancer

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About 2 years ago it was the first time when I heard about AI. Now it seams that it could help radiologists to check X-rays . Back then it wasn’t even in Alpha tests and now it  becomes reality.

Right now in Europe when mammograms are performed, normally 2 radiologists are looking for the signs of cancer. In a near future it will most certainly change.  AI will be detecting irregularities in x-rays scans thanks to deep learning and big data base of images of breasts with anomalies.

A few start-ups already started working on those programs e.g. Berlin-based MX Healthcare which collected over 1 million imagines (just like the one below on the left). Google also started working on AI  with the same purpose using program called Lymph Node Assistant, or LYNA.

Google AI cancer

Above: Left: a slide containing lymph nodes. Right: LYNA identifying the tumor region.
Image Credit: Google

LYNA detects metastatic tumors made of cancerous cells which break away from their original tissue , circulate through the body and form new tumors in other parts of the body. Those cells are extremely difficult to detects and due to  that there are around 0,5 millions deaths annually. In one of the tests Google operating system received 99% accuracy ( comparing to human with only 62% ) which only tells that in future AI will be used 100% with or without help of radiologists.

The difference between LYNA and other AI is a data base. Google AI uses open source data which let it learn and practice more efficient than other programs.

Znalezione obrazy dla zapytania breast cancer xray

To sum it up, AI in the future will be checking probably all X-ray imagines due to it superiority over humans, but it doesn’t mean that radiologists will lose their jobs. This is because AI will be able to check the past of the cancerous changes but not the future of them.