In West, the artificial intelligence may have been developed, yet China region appears to be resolved to claim its future. China’s rising AI people group just got an enormous jolt, as a gigantic new government speculation design. China’s government announced scheme meant to build an AI Industry worth $ 150 billion to surpass the future of AI. Subtle elements of the arrangement are certain to cause frustration among policymakers, business pioneers, and business people in the U.S., mainly as subsidizing for a look into is cut by a science-unwilling Trump organization. It is expected that AI role to play in the evolution of warfare.
The fact is, China region’s artificial intelligence domination is already good, whereas experts from the United States grip the opportunities for emerging cutting-edge algorithm as well as techniques. The China’s corporation has become experts at commercializing AI technologies as well as willing capitalize in fundamental research and development. Some of the Chinese company not only focused on the application of the artificial intelligence but also on fundamental research, over the past years. A couple of growing things related to China region states that by 2020, the country should make a stand to fight with the other countries and soon China should reach major breakthroughs in the field of the technology. As per the government’s scheme, the AI should useful across every single industry such as logistics, agriculture, manufacturing and so on. If the scheme arranged across the country, definitely it could have a big impact on the region’s economic progress.
The NT Government stated that the researcher developed a new type of the 3D printer in Darwin. The developed printer is much faster as well as cheaper than any existing metal 3D printing technology. The Government has granted $400,000 Charles Darwin University to get the LightSpEE3D printer. The NT Chief Minister, Mr. Michael Gunner said, “So you’re talking about a massive change forward now in how you actually manufacture: you can do it very local and very specific and the Territory can lead the way”. The advantages of the 3D printer are that it reduces the cost of the printer at the same time it increased the speed, Steven Camilleri from the Spee3d said. Mr. Steven is the Co-inventor of the device.
Further, Mr. Steven Camilleri added, “We’ve got a part that we did for an automotive supplier and we were able to bring the 3D print time down from about 100 to 200 hours to about 20 minutes”. One of the possibilities is its use by firms functioning in remote ranges. The modern technology with fast and cheap characteristics stated that it would accessible to new industries. Mr. Steven stated, “We believe we’ve got a process that suits manufacturing better than some of the existing processes for metal manufacturing”. Mr. Michael Gunner said, “The development and purchase of the device heralds a new era in the use of the Territory’s resources”. At Charles Darwin University the printer will come in October and its experts will work together with Spee3d engineers to explore the device’s potential.
In the automobile industry, we have seen most of the cars are layered with a metallic shine, fixed by the appearances of the miniature metal flakes used in the paint. The team of researcher from the University of Liverpool developed a new method that offers automotive industry to consequently recognize these metal flakes. The new approach is based on the medical imaging technique optical coherence tomography, and it is in the process to improve the efficiency of the car industry. The lead researcher on the project and professor at the University of Liverpool, Mr. Yaochun Shen said, “We have demonstrated, for the first time, through OCT and our image analysis approach, we are able to quantitatively and automatically measure the size, number, and orientation of metal flakes in industrially applied car paint”.
Further, Mr. Yaochun said, “This approach could be very useful for quality assurance processes used during car manufacturing”. The optical coherence tomography method requires the real-time cross-sectional images with micron-scale resolution. The method was invented in 1991 since its invention the method is extended in medical application. The technique is explored into the biomedical application because if its capabilities and inherent practicality. Mr. Shen added, “The painting step is a bottleneck in the manufacturing process”. He said, “If the finished car paint does not meet requirements, then it must be removed chemically and the car completely repainted. This not only costs time and money but also creates chemical waste and associated environmental issues”. A Car paint structure created with the help of four layers, and to examine the car paint quality assurance the industry currently using ultrasound imaging method. But the method cannot image the tiny metal flakes. The experts developed designed a 3D OCT instrument to image the flakes, they are also come up with an algorithm to automatically identify each and every flake in a sample. Mr. Shen said, “Our research with car paint and with pharmaceutical coatings shows that OCT, which has been used for some time for medical applications, can also be used for industrial applications”.
The Harvard University expertise and team developed a folding robot as a replacement for endoscopy. The principle of the Japanese art of origami applied by the expertise from the Harvard University, it turns a paper into complex three-dimensional shapes. The co-author Mr. Je-sung Koh said,” Similar to origami, one of the main points of our design is simplicity. This system requires only basic, passive electronic components on the robot to deliver an electric current. The structure of the robot itself takes care of the rest”. The modern robots are thin as well as flat. In some manner, it is similar to origami paper, where three triangles that are connected to a central triangle with the help of hinges and there is a small circuit in the central triangle. The coils are attached to the hinges that would turn back to the original position after being curled by temperature. The coils are made of a metal type called shape-memory alloy. The coils are stretched out of their position when the hinges are flat.
A current that heats up the coil is passed through the circuit, which turns the robot back to the original. When the process of the current pass is stopped then the triangle back down. The information of the sources stated that the power for the robot is conveyed wirelessly through electromagnetic power transmission. “Not only are our robots’ folding motions repeatable, we can control when and where they happen, which enables more complex movements”, said by the lead Mr. Mustafa Boyvat. The modern invention could be used as a replacement for endoscopy, can prove to be beneficial. A folding robot could also be used for wireless communication among several smart objects in a house. The robots were developed in different sizes. Mr. Mustafa Boyvat said, “There is still room for miniaturization”. He added, “We don’t think we went to the limit of how small these can be, and we’re excited to further develop our designs for biomedical applications”.
An engineer from Vanderbilt University created a software that helps to find liver tumors, as the liver is predominantly soft and susceptible to shifting both deadly tumors. During surgery, specialist exposed the liver lightly on the surface and taking the shape of the organ, after that the device can match that image with the CT scan on a screen. This approach is better than predicting where the vessels are by feeling for them. Vanderbilt University’s Mr. Michael Miga developed the Pathfinder stylus system for abdominal surgeries. He said, “Deformation happens”. Mr. Michael Miga said, “The way the liver is configured in the body at the time of diagnostic imaging and the way it’s presented for surgery are very different”.
Further, Mr. Michael said, “If you’re trying to get to a tumor the size of a dime and avoid a blood vessel, you need to avoid errors. The problem is, by the time a surgeon can access the organ for surgery, the CT-derived GPS map could be off by centimeters. That’s dangerous, especially if resecting close to a major vessel”. The method of fixing that error without investing in additional expensive equipment. The device corrects the CT-derived GPS map to better match the organ shape. The specialist was exposed around seven CT images based on the time for 20 patients in the operating room. The specialist associated CT map either to the Pathfinder or to Miga’s new enhanced CT map. Yet, expertise was not commented on which display was being presented, however, the display order was randomized and it could go from enhanced to original, vice versa or held constant. The expertise was able to notice the correct variation among the different evaluations. The modern technology is accessible into image-guided surgery systems.
Ms. Alumna Liza Kholodkova from the University of Florida invented a mural-making robot named ‘Botsy’, that can help people to do artwork efficiently. As drawing a mural on a permanent surface such as a wall is quite difficult as well as long process. Ms. Alumna has come up with the new idea to get a robot that can save time as well as the efforts. Botsy can help muralists to make their artistic process easier. Kholodkova said, “Botsy can finish the artwork in a couple of hours”. Alumna completed her graduation from University of Florida in 2015 with a double degree in aerospace engineering and mechanical engineering. Alumna’s journey started with ‘BeDrawn’ company, the company sells her invention to muralists. While doing mural artwork, she observed the difficulties to map the mural out, inspiring her to build a robot that can save the muralists time as well as efforts.
UF’s Integrated Product and Process Design program held last year, Kholodkova and her robot appointed to create a mural in the department’s currently barren hallway. Kholodkova said, “Botsy is normally able to produce mural sketches that are 8-by-6 feet, however, the piece for IPPD will be 30-by-6 feet, requiring Botsy to be used in four different blocks”. Kholodkova said of the College of Engineering’s proposal, “They thought my project was cool”. She added, “When they called, I wanted to come up with something that captured the spirit of IPPD”. Ms. Alumna said that she liked the Kurzgesagt channel’s artwork style. She said, “They took some kind of scientific concept and tried to explain it in simple terms”. Further, she added, “When I emailed them, they actually replied”. The IPPD director, Mr. Keith Stanfill said, “It looks like it leads to a morgue”. He added, “I wanted something memorable to make the hall more interesting, and I want it to showcase the combination of technology and art”.
Researchers at Carnegie Mellon University developed an innovative tool for computational design, using which user can convert any 3D shape into a collapsible telescoping structure. The method captures the composites as well as the various properties of such structures. These properties are important for a variety of applications including 3D fabrication as well as robotics. Professors Stelian Coros with Keenan Crane and Christopher, Ph.D. student-led the “Computational Design of Telescoping Structures” research. Prior telescopes have the ability to expand a compact form into the huge structure, and they are effortlessly straight. But after the famous X-Men character, recent maker arrived with a set of telescopic toy claws.
Enthused by curved shape researcher looking for automating the design of telescoping structures. They are discovering a huge variety outlines derived from a basic telescope model. The co-author and Assistant Professor of Computer Science and Robotics at Carnegie Mellon, Mr. Crane said, “Among deployable mechanisms, telescopes are very interesting. Once you expand them, they are very flexible and you can make a lot of different shapes, all with the same telescope”. He added, “We wanted to know what are all the possible shapes you can make from a telescoping structure”. The researchers and team began with the basic requirements such as metal shell, extensible telescope and no empty spaces between nested pieces, these led to a significant geometric insight. With the help of the novel system expertise and team successfully developed applications in 3D fabrication and robotics.
It is difficult to classify color in complex outdoor environments. The reason behind that is the color of light is incessantly changing. The expertise in Melbourne exposed a modern mechanism for processing color information. The project led by an Australian Research Council also it was coordinated by Adrian Dyer. Adrian Dyer has been working as Associate Professor at RMIT. Mr. Adrian Dyer stated, “For a digital system like a camera or a robot the color of objects often changes. Currently, this problem is dealt with by assuming the world is, on average”. Mr. Dyer added, “This means it’s difficult to identify the true color of ripe fruit or mineral rich sands, limiting outdoor color imaging solutions by drones”.
The lead author Dr. Jair Garcia said, “Physics suggests the ocelli sensing of the color of light could allow a brain to discount the naturally colored illumination which would otherwise confuse color perception”. Dr. Jair added, “But for this to be true the information from the ocelli would have to be integrated with colors seen by the compound eyes”. Professor Andrew Greentree said, “It is rare that physics, biology, neuroanatomy, and ecology all fit together, but here we have it”. Mr. Dyer said, “We’re using bio-inspired solutions from nature to tackle key problems in visual perception. This discovery on color constancy can be implemented into imaging systems to enable accurate color interpretation”. “The strength of this study lies in the combination of modeling, behavioral analysis, and neuro-anatomy. It shows how modern, interdisciplinary neuroscience can point to an elegant solution to classical problems in vision”, Rosa said.
Expertise from Drexel University has launched two new electrode designs using MXene material. With the help of MXene material, it is possible to charge batteries much faster than the regular time. Drexel University’s researcher’s recent work exposing a new battery electrode design, the researcher took a big step toward making it a reality. Mr. Yury Gogotsi led the team, is a Bach professor in Drexel’s College of Engineering in the Department of Materials Science and Engineering. Team’s latest devices could make energy storage devices such as plodding tanker truck of energy storage technology, batteries. Gogotsi said, “We demonstrate charging of thin MXene electrodes in tens of milliseconds, this is enabled by the very high electronic conductivity of MXene”.
When it comes to faster-charging energy storage devices then electrodes are essential components of batteries. Using Electrodes energy is stored during charging as well as from which it is disbursed to power our devices. The materials should require places to store more energy. Electrode materials in batteries offer “redox active sites” for the charge to be stored. The redox active sites are nothing but ports, if the electrode material has more ports it means it can store more energy. Lukatskaya said, “In traditional batteries and supercapacitors, ions have a tortuous path toward charge storage ports, which not only slows down everything, but it also creates a situation where very few ions actually reach their destination at fast charging rates”. Lukatskaya added, “The ideal electrode architecture would be something like ions moving to the ports via multi-lane, high-speed ‘highways,’ instead of taking single-lane roads. Our design achieves this goal, which allows for rapid charging on the order of a few seconds or less”. The main benefit of using MXenes is that allows rapid flow of an electrical current.
Researchers from Yale University has identified 60 potential new hot Jupiters. Hot Jupiters found a class of gas giant planets located. The astronomy and second-year Ph.D. student Sarah Millholland recognized the planet candidates through a novel application of big data techniques, used a machine learning algorithm. A machine learning algorithm is a sophisticated program that can be trained to recognize patterns in data to identify the amplitude variations in detected light that consequence as an orbiting planet replicates heats of light from its host star. Laughlin said, “Sarah’s work has given us what amounts to a ‘class portrait’ of extrasolar planets at their most alien”. He added, “It’s amazing how the latest techniques in machine learning, compounded with high-performance computing, are allowing us to mine classic data sets for extraordinary discoveries”.
At a Kepler Science Conference at the NASA Ames Research Center in California Millholland recently presented the research. The researcher stated that it is difficult to distinguish the reflected light from stellar, but a big data method permitted them to pull out the faint signals. The method created thousands of the datasets and trained an algorithm to recognize the properties of the reflected light signals. Millholland said, “I’ve been told by members of the Kepler science team that a search for reflected star-shine was part of the early renditions of the Kepler pipeline”. He added, “They called it the Reflected Light Search, or RLS module, in this sense, we’re simply addressing one of the original intentions for the Kepler data”. The researcher stated that the reflected light control rich information about the planets’ atmospheres. The reflected light contains characteristics which involve atmospheric composition, wind patterns, cloud existence as well as day-night temperature contrasts.