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Medical/ Biocomputing will only continue to grow and advance as a result of the demand for more improved experiences by consumers and business in communications and entertainment, food, home life, travel, business, etc.

Today, we have seen early opportunities and benefits with 3D printing, BMI, early stage Gene/ Cell circuitry and computing. In the future, we will see these technologies more and more replaced by even more advance Biocomputing and gene circuitry technology that will ultimately transform the human experiences and quality of life that many like to call Singularity.


Printing technology has come a long way from screechy dot-matrix printers to 3D printers which can print real life objects from metals, plastics, chemicals and concrete. While, at first, 3D printers were being used to create just basic shapes with different materials, more recently, they have been used to create advanced electronics, bio-medical devices and even houses.

Aircraft manufacturer Airbus recently showcased the world’s first 3D-printed mini aircraft, Thor, at the International Aerospace Exhibition and Air Show in Berlin. Although Airbus and its competitor have been using 3D-printed parts for their bigger assemblies, recent attempt shows that aviation may be ready for a new future with much lighter and cheaper planes given 3D printing not only cuts down the costs with less wastage, it also makes the plane lighter, thereby making them faster and more fuel efficient. But planes and toys is not what 3D printing might be restricted to; though in the elementary stage at the moment, the technology is being used for creating complex electronics like phones and wearables and may be able to reduce costs for manufacturers like Samsung and Apple.

One of the most important uses for the technology comes in the field of medical sciences. While pharma companies have been working on producing medicines from 3D printers, with one winning approval from the US’s Food and Drug Administration earlier this year, the technology is also being used to create bones, cartilages and customisable prosthetic limbs. But the real test for the technology lies in bioprinting—creating living cells via a 3D printer. Doctors have been using 3D printed organs to practice on, but scientists at research institutes have been experimenting with printing stem cells, skin tissue, organs and DNA. Though this is still decades from being a reality, printing of regenerative tissues can help cure heart ailments. 3D printing is also helping in construction, with a printer being used to create the first office space in Dubai using concrete blocks. The city aims that 25% of its buildings will be 3D printed by 2030.

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The latest of the bionic leaf. A little over a year ago reseachers made an amazing discovery on cell circuitry leaves. Here is more news from Harvard on their research on bionic leaves.


Harvard scientists designed a new artificial photosynthesis system that turns sunlight into liquid fuel, and it is already effective enough for use in commercial applications.

Here’s an alternative source of energy many have never heard of— bionic leaves.

Scientists from Harvard University just made photosynthesis more efficient with what its creators are calling the “bionic leaf 2.0.” They’ve invented a new system that splits water molecules with solar energy and produces liquid fuels with hydrogen-eating bacteria.

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On May 11, 2016, the Berggruen Philosophy and Culture Center invited Yuval Noah Harari, a professor of history at Hebrew University of Jerusalem and author of the international bestseller “Sapiens: A Brief History of Humankind,” to deliver a talk on “The New Inequalities” at Tsinghua University in Beijing. Prior to the talk, Harari was interviewed by BPPC director Daniel A. Bell. This is an edited transcript of the interview.

You argue in your book that material progress, for example in the agriculture revolution and industrial capitalism doesn’t necessarily contribute to human happiness. In fact, it may lead to the opposite. Can you elaborate on that?

Until the middle of the 19th century there was a complete lack of correlation between material progress and the well-being of individual humans. For thousands of years until about 1850 you see humans accumulating more and more power by the invention of new technologies and by new systems of organization in the economy and in politics, but you don’t see any real improvement in the well-being of the average person. If you are the emperor of China, then obviously you’re much better off. But if you’re an average Chinese peasant in 1850, it’s very, very hard to say that your life is any better than the life of hunter-gatherers in the Yangtze Valley 20,000 years ago. You work much harder than them, your diet is worse, you suffer far more from infectious diseases, and you suffer far more from social inequality and economic exploitation.

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The recent Google I/O developer conference at which the company reveals its new products and directions brought with it several surprising announcements that mark significant changes for the way the company approaches its online business.

The first was the admission by Google chief executive, Sundar Pichai, that Amazon had taken the lead in voice-activated devices when it launched Echo last year when he announced the company’s own Google Home, a similar table-top, voice-controlled AI assistant. These devices have been made possible by the rapid improvement of voice-recognition technology and AI fast enough to respond in real time to questions and answers. But under the surface, the devices are deeply integrated with the cloud, and in the case of Echo, Amazon’s online marketplace.

This is significant because Echo now boasts more than 400 different “skills” and connected suppliers through which users can order food, look up calendar appointments, pay credit card bills, search for information and many other things – just by asking with their voice. The ecosystem of companion products around these intelligent assistants is growing too: just by asking, you can switch on the lights in any room, control the thermosat, security system and fire detectors, automate perimeter doors or fences.

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As a result of deforestation, only 6.2 million square kilometers remain of the original 16 million square kilometers of forest that formerly covered Earth. Apart from adveserly impacting people’s livelihoods, rampant deforestation around the world is threatening a wide range of tree species, including the Brazil nut and the plants that produce cacao and açaí palm; animal species, including critically-endangered monkeys in the remote forests of Vietnam’s Central Highlands, and contributing to climate change instead of mitigating it (15% of all greenhouse gas emissions are the result of deforestation).

While the world’s forest cover is being unabashedly destroyed by industrial agriculture, cattle ranching, illegal logging and infrastructure projects, Thailand has found a unique way to repair its deforested land: by using a farming technique called seed bombing or aerial reforestation, where trees and other crops are planted by being thrown or dropped from an airplane or flying drone.

The tree seed bombing in Thailand is one of the greatest examples of ‘Conscious Entrepreneurs’ or ‘Spiritual Entrepreneurs’ out there right.

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Perhaps it’s serendipitous, then, that the machines have finally arrived. Truly smart, truly impressive robots and machine learning algorithms that may help usher in a new Green Revolution to keep humans fed on an increasingly mercurial planet. Think satellites that automatically detect drought patterns, tractors that eyeball plants and kill the sick ones, and an AI-powered smartphone app that can tell a farmer what disease has crippled their crop.

Forget scarecrows. The future of agriculture is in the hands of the machines.

A Digital Green Thumb

Deep learning is a powerful method of computing in which programmers don’t explicitly tell a computer what to do, but instead train it to recognize certain patterns. You could feed a computer photos of diseased and healthy plant leaves, labeled as such. From these it will learn what diseased and healthy leaves look like, and determine the health of new leaves on its own.

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