Author Archives: Sardor Sheraliev

Amazon Web Services toward reducing Carbon Emissions

Reading Time: 3 minutes

As Amazon claims, they currently have more than 234 solar and wind energy projects throughout the world, including projects in Finland, France, Germany, Ireland, Italy, the Netherlands, Spain, Sweden, and the UK. Together, these projects will provide over 10,000 MW of global renewable energy capacity when complete.
They are inviting organizations to join The Climate Pledge, a commitment to becoming net-zero carbon by 2040, 10 years ahead of the Paris Agreement. Co-founded by Amazon, more than 200 organizations have signed so far The Climate Pledge, committing to use their scale to decarbonize the economy through real business change and innovation.

Great! How renewable energy further reduces carbon emissions?
451 Research, a global research firm found that if a 1-megawatt corporate data center (about 1,000 square meters, at an assumed 30% electrical utilization rate) switches their applications to the cloud, they could reduce emissions by about 1,079 metric tons of carbon dioxide per year. This is equivalent to removing over 500 cars from the roads or offsetting the annual electricity emissions of over 50 average households across Europe. That number rises to as much as 1,293 metric tons of carbon dioxide when a cloud provider is powered by 100% renewable energy. AWS is on path to achieve 100% renewable energy by 2025.

451 Research also find out and AWS commissioned that, migrating compute workloads to AWS across Europe could decrease greenhouse gas emissions equal to the footprint of millions of households. In addition, businesses could potentially reduce carbon emissions of an average workload by up to 96% when AWS reaches its goal of purchasing 100% of its energy from renewable sources.
And how? They surveyed senior stakeholders at over 300 companies across a broad range of industries in France, Germany, Ireland, Spain, and Sweden operating their own data centers. Results show that companies in Europe can reduce their energy use by almost 80% by moving their compute workloads out of on-premises data centers to AWS. Companies could potentially further reduce carbon emissions from an average workload – by up to 96% – once AWS meets its goal to be powered by 100% renewable energy. And compared to the computing resources of the average European company, cloud servers are roughly three times more energy efficient, and AWS data centers are up to five times more energy efficient. In fact, moving a megawatt (MW) of a typical compute workload from a European organization’s data center to AWS Cloud could reduce carbon emissions by up to 1,079 metric tons of carbon dioxide per year.
Kelly Morgan, Research Director, Datacenter Infrastructure & Services at 451 Research, part of S&P Global Market Intelligence said; We were struck by how much opportunity there is for European businesses to increase energy efficiency and reduce emissions by looking at their IT infrastructure. If you think of the electricity consumed and emissions produced by tens of thousands of companies across Europe operating their own data centers, this is an area that appears to be overlooked.

We can conclude that, cloud data centers are efficient because cloud providers focus on sustainability across their entire operation. In contrast, most businesses don’t prioritize their data center infrastructure sustainability, which means their data centers are not optimized for efficiency. Most businesses don’t prioritize addressing data center energy costs and carbon emissions because digital infrastructure is not their core business. Cloud providers focus on efficiency as a best practice. They operate servers at much higher utilization rates and design facilities to use less energy and water. Overall, the AWS Cloud infrastructure is up to five times more energy efficient than typical EU enterprise infrastructure. AWS achieves lower energy use in its data centers through designing cooling systems that reduce energy and water use, and using real-time sensor data to adapt to changing weather conditions. AWS’s scale enables high resource usage, and its global cloud infrastructure is built using Amazon’s own custom hardware, purpose-built and optimized for workloads run by AWS customers. This includes power-efficient processors like Graviton 2, the ARM-based AWS – designed chip that provides better performance per watt than any other Elastic Compute processor.

How it can affect and change the current situation?
AWS has responsibilities to the communities where they operate, and to them, that means sustainability and environmental stewardship. AWS is continuously working on ways to increase the energy efficiency of facilities and equipment, as well as innovating the design and manufacture of servers, storage, and networking equipment to reduce resource use and limit waste.

Resource: 451 Research report

Next – Generation Technologies aren’t public yet

Reading Time: 6 minutes

Have you ever catch yourself regularly mentioning technologies like Quantum, Graphene, Digital Twins and most recently Meta (Facebook) over the dinner and among friends and have become the go – to person for questions about future innovations? These technologies no longer hold any secret for us and we heard, seen them a lot.

Technology, is ever – changing, and this precious knowledge must be both managed and updated all the time. With this in mind, let’s explore and put together with you friends, the order of technologies that are likely to make big waves and huge impact on our lives, however are not on the public network radar as of today.

#1. Zero – knowledge proof

Computer scientists are perfecting a “cryptographic tool” we could use to prove something without revealing the information underlying the proof. It sounds incredible, however, not impossible once you wrap your head around the concept and the fact that it is a bit more complex than saying “Come on brother, you know I am good for it”.

Let’s simplify through an example.

Imagine, a man, John Doe has a blind friend Jane Doe. He also has in his possession two marbles of different colors, though they are identical in shape and size. Jane puts them behind her back and shows one to John. She then does it again, either changing the marble or showing the same thing once again, asking if this is the same as the marble previously shown. If John were guessing whether it was the same or not, he would have a 50/50 chance of getting it right, so she does it again, many times. Because John sees the marbles’ colors, he gets it right each time, and the chance that the guessed lucky diminishes. Jane thus knows that John knows which marble is the original shown without her ever knowing the color of any of the marbles. Boom, zero – knowledge proof! Obviously, it all gets mathematic and cryptographic from here, however you get the gist.

How it can affect and change the world?

It is easy to come up with cool use cases, for instance, if an application needs to know that you have enough money to put a transaction through: your bank could communicate that yes, that is the case, without giving an amount. It could also help identify a person without a birth certificate, allow someone to enter a restricted web resource without needing to display their date of birth or help with nuclear disarmament. Additionally, it could provide proof of a crypto – currency transaction without revealing its amount, as BitCoin does, and always will be.

Resource: Wikipedia

#2. 20 – minute Water

Not all technology needs to be high; there is often something rather elegant in low – technology solutions to complex issues. 20 – minute water is one of these solutions, promising to provide clean drinking water to the masses. All one needs to do, is soak a piece of cotton (which is highly conductive) for 20 minutes in an inexpensive solution containing carbon nanotubes and silver nanowires, then connect to it two electric wires to pass a little current through it. Twenty volts is enough to instantly electrocute bacteria and make the water passing through this filter drinkable, without the need for the electricity – thirsty pumps that are used throughout the developing world. The silver then nullifies anything that is not been killed by the electrical current.

How it can affect and change the world?

We can save remote areas where people do not have access to chemical treatments such as chlorine and they are mostly developing countries. It could save some of the 300 000 children under 5 who die worldwide every year because of waterborne diseases such as the cholera, typhoid, and hepatitis. It could also help some of the 2.2 billion people who do not have a wastewater treatment system.

Resource: Stanford News

#3. Robotic bees

It is not great out there, climate – wise. And that is killing bees, which we need to pollinate 35% of our crops, which we also need for food, for not being dead. Are we going to stop climate change to save the bees, I guess we can’t and that is not how we roll. Instead, we are possible going to create robotic bees to pollinate plants just as the real things do.

Find out how Walmart did it. Details are scarce, however, most researchers estimate, that the bees would work by attaching horse hair coated with ionic liquid gel to a tiny drone. The hair, picks – up pollen from one flower, and moves it to next one. Researchers at Harvard have long been working on “RoboBees” using such techniques. What Walmart offers on top, is a wide array of sensors, cameras, artificial intelligence to locate the relevant crops and pollinate them as needed.

How it can affect and change the world?

Costs. Operating such a technology will make us see autonomous insect pollinate large fields in the coming years, which could save thousands of farmers from ruin, and ensure we can still have almond milk on the shelves.

Resource: The Wall Street Journal

#4. Two – Photon Lithography

3D printing is still a solution looking for a problem, having failed to find its target audience over the past decade. On the one hand, 3D printers are still too expensive for the average John Doe; on the other hand, they are not sophisticated and fast enough for large – scale manufacturing companies. This may change over the next few years: researchers have developed a method that uses lasers to project millions of points simultaneously onto 3D – printing material, instead of using one point at a time. And because they are bad at branding, they called it “Femtosecond Projection TPL”. To easily understand FP-TPL, simply imagine using a million heated needles to strategically melt a block of wax versus using a single needle, which means that incredibly tiny structures can be 3D printed much faster, while still ensuring a good quality of build.

How it can affect and change the world?

Teams working on the innovation seem focused on flexible electronics and micro – optics. However, quick discoveries around materials (both liquid and solid) have led researchers to think over that we can be able to build small but imagination – baffling structures in the near future. Once the quality can be controlled over large scales, one could easily imagine this technology being used for the creation of healthcare – related nano robots, allowing for the treatment of a multitude of diseases on the molecular level.

Resource: Science Journal

#5. YOLO version 5

Real – time object detection is a technique used to detect objects from video / clip. It is the underlying technology behind… well, most things we want to use in the future, from Tesla’s self – driving cars to Amazon’s cashless stores. The YOLO “You Only Look Once” models refer to some of the most versatile and famous real – time object detection and labelling models.

The latest iteration “version 5” of the model is worthy for the couple of reasons. It is written in PyTorch, which will make its deployment to mobile a lot easier. It is also fast, pretty quick. 140 frames per second, while also preserving accuracy. Finally, YOLOv5 is nearly 90 percent smaller than YOLOv4.

How it can affect and change the world?

This innovation is important in terms of to deal with real – time analysis; detecting and labelling video files 140 times per second. For context, previous models struggled to get to 10 frames per second. At this speed, we can use AI technologies on video of fields as varied as the world of medicine or that of sport. It can also improve detecting obstacles in autonomous cars earlier to avoid even more collisions. Big deal, huh?

Resource: Github repository

What do I disagree with and what I can counterbalance?

  1. We have to solve the issue with zero – knowledge proof imperfection. The minimization of destroying or changing the messages while sending to verifier or prover by building knowledge around and listening to feedback from our community.
  2. We have mentioned the 20 – minute water technology and the amount of silver used for the the nanowires is so small the cost in negligible, and the electricity needed can be easily supplied by a small solar panel or a couple of 12 – volt car batteries. Since the filter does not trap bacteria (killing the instead), it can have much larger pores, allowing water to speed through at a more rapid rate. More than 80 000 times faster than existing filters, to be exact. And it does so without clogging, an issue which plagues existing solutions.
  3. I have a few gripes with Robo bees. First thing is, small budget farmers might never be able to afford robotic bees, and we would once again be empowering the BIG GUY against the little one. We also do not know how these bees would impact the fauna overall, both on and off the fields. How about if we try to save the real bees? Open – ended questions.