Research and development of the hottest enterprise

2022-08-22
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Is R & D time-consuming and expensive for enterprises? Robots and 3D printing are changing all this

in the highly scientific research and development field, finding high-quality experts is one of the biggest challenges. Today, software is helping enterprises tap talent resources around the world. In the field of data science and technology, platforms such as kaggle, quantopian and numerai can connect undeveloped data science and financial talents, which democratizes the work of "quantification" and compensates them. This concept has also risen with the rise of pharmaceutical research and development, although it is also developing in other fields

supply platforms such as scientific exchange are currently working across R & D fields, and outsourcing R & D can enable enterprises to quickly solve the problem of lack of talents. However, even if the company introduces more talents, there is still room for improvement in the hypothetical testing process. The behavior of shortening iteration time can continuously translate into faster and better scientific discoveries

robots and 3D printing technology have accelerated product development in the vertical field

according to a recent industry survey, the primary task of companies using 3D printing technology is to accelerate product development. In addition, 57% of the 3D printing work was completed in the first stage of new product development (that is, at that time, Jinan experimental machine factory mainly imitated the Soviet Union's product concept verification and prototyping)

3d printing has become the main content of any design studio. Before ordering thousands of physical parts, designers can see what future products will look like through 3D printing. Similarly, robotics is automating the trial and error process in various vertical fields

for example, in the research and development field of synthetic biology, robot technology has had a significant impact on companies such as zymergen and ginkgobioworks. To find perfect microorganisms, up to 4000 different variants need to be tested at the same time, which means a lot of work in wet laboratories. Using the automatic pipette system and robot arm, the liquid treatment robot achieves the balance of faster speed and less human error through high-throughput experiments. The following is the robot gene tester countyl (left) for the automatic test and zym1 of the transfection of samples. Select the non cutting rectangular sample: the non cutting rectangular sample is a comprehensive Ergen infusion robot (right) for the automatic test of microbial culture

artificial intelligence is accelerating the discovery of material science

Thomas Edison is famous for emphasizing that material science is a process of elimination: I have not failed 10000 times. I have never failed once. I have successfully proved that these 10000 methods are not feasible. Edison's spirit still exists in today's research and development laboratories, although the degree of digitalization and software empowerment of research and development is still lower than people's expectations. (according to the National Academy of Sciences, developing new materials is often the longest stage of developing new products). Digitalization of better scientific methods is crucial for the development of new products and materials, and then large-scale production

at present, the hottest area of investment and financing for AI start-ups is health care. Because enterprises use artificial intelligence to develop drugs. Pharmaceutical companies are investing a lot of money to start-ups that track drug research and development (such as recursionpharmaceuticals and twoxar. It is only a matter of time to succeed in other fields.

citrineinformatics, a company engaged in chemistry and material science, runs AI on its huge material database, and says it can help organizations reduce R & D costs and cut manufacturing time in half, which is a milestone. Similarly, deep Chem has developed a python library that will apply in-depth learning Used in the field of chemistry. In short, manufacturers in various industries - Industrial Biotechnology, pharmaceuticals, automotive, or other material products - rely on robot automation and 3D printing to remain competitive and tighten the feedback loop when launching products

start-ups that are developing or commercializing complex materials, and the composition of illite is relatively complex, have taken off in the field of 3D printing in 2012. Companies like markforge use carbon fiber composites, while companies like BMF are developing composites with rare nanostructures and exotic physical properties. Of course, future manufacturers will be able to rely on intelligent software for research and development

augmented reality and virtual reality "abstract" the modeling process. At present, all types of manufacturers rely on the prototype design of computer-aided design (CAD) software. In the future manufacturing process, augmented reality and virtual reality can play a greater role in research and development, and can effectively "abstract" desktop PCs for industrial designers, which may reduce the demand for 3D printing physical models

autodesk is an AutoCAD software development company and the leader of prototype design and collaboration technology in the future. The company has invested a lot of money in cutting-edge technologies such as 3D printing, including developing a "confidential project" in cooperation with atomwise, a health AI start-up. Recently, Autodesk's exploration of ar/vr game engine indicates that immersive computing will play a greater role in the design process. Autodesk's game engine tingray has added support for htcvive and oculusrift headphones. In addition, game and VR engine manufacturer unity has announced a partnership with Autodesk to improve interoperability

similarly, Apple also envisages that the design process can be optimized through the combination of ar/vr and 3D printing. Using cbinsights database, we obtained an Apple patent, which envisages superimposing "computer-generated virtual information" on the real-world view of existing objects, thereby allowing industrial designers to effectively 3D print existing or unfinished objects

this patent envisages using AR through "translucent glasses", but it also mentions "mobile devices equipped with cameras", suggesting that there is a potential 3D will - using arkit on iPhone. A researcher from Cornell University recently demonstrated the ability to use ar/vr to draw sketches in 3D printing. Finally, the man-machine interface can be seamlessly connected, and the 3D model can be carved in real time. Future R & D teams will continue to explore AR and VR, and test how it combines with 3D printing and traditional prototype stacks

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