AI invaded the Bio Technology

The year is 2020 AD, the sequencing of a complete human genome now costs less than a thousand dollars and the growth of transplantable human organs inside other animals is now gradually entering clinical trials. Advances such as this are the result of Biotechnology, which can be defined as technology based on biology. As we all know Information Technology has taken a paramount role in recent times and one major section of it which is Artificial Intelligence is rising rapidly. The combination of both these fields forms a novel topic called AI for Biotechnology.

Drug Discovery and Development

The current process of creating a drug is a long and time consuming one. It starts when scientists discover a biological target after which they begin testing different chemical mixtures in different dosages against it. Finally, they need to regulate the finished drug so that it is compatible with a wide range of people. Machine learning can be used to speed up lower the costs of this process. Primary stages in figuring out the drugs chemical structure and in the latter stage investigating the effect of a drug – both in basic preclinical research and clinical trials, in which a lot of biomedical data is produced.

 

Plant Biotechnology

Genetically modified Plants have become widely popular ranging from Golden Rice to the Flavr Savr Tomato. Biotechnology firms are now leveraging Artificial Intelligence and Machine Learning techniques to develop and program autonomous robots that handle important agricultural tasks like harvesting crops such as these at a much faster pace than humans. Computer Vision and Deep Learning algorithms are leveraged to process and analyze the data captured by the drones. Moreover, companies like Zymergen and Ginkgo Bioworks use vast metagenomic databases, machine learning, and robust automated laboratories to design microbes custom-suited to manufacture a desired good such as the cotton in your T-shirt.

Animal Biotechnology

Much like Molly the cloned sheep, molecular biology techniques are applied to genetically engineer/modify animals to bring about desirable characteristics such as higher muscle mass, and improved hardiness. Selective breeding is a very common practice where animals with good features are bred with each other so that their offspring will also result in the same traits. This is performed on the molecular level too where genetic characteristics among the animals are selected and such animals are bred. Machine Learning helps in understanding the genomics and making informed decisions and enhancing the capabilities of scientists in predicting the expression of those genes.

Human genomics

Each individual human has its own unique genetic footprint also known as their genome, by sequencing the genome of a human we can understand all minute details about him/her, from any allergies, to possible future medical conditions like cancer or heart disease, to even resistances and efficacies to drugs. After sequencing the size of a human genome is around 200 Gigabytes! This is only for a single person and is a lot of data to sift through manually. With advances in artificial intelligence and machine learning applications, researchers are better able to interpret and act on this genomic data.

With tools like Google’s DeepVariant, geneticists can now get an accurate picture of the full genome while being able to detect small mutations from random errors. This data could warn doctors of future diseases pertaining to this individual. AI & Deep learning was instrumental in effectively training DeepVariant.

Advantages of AI in Biotechnology

·  Time-saving - Since biotechnology is a field in which large amounts of data are constantly gathered, keeping track, and processing all this data would take tremendous amounts of time for humans alone. Computers have made this task quicker, and now the advent of Artificial Intelligence promises to shave off even more time.

·  Cost-effective – As mentioned above, crunching through piles and piles of data will use up a considerable amount of man-hours, If a neural network is trained to do such tasks the need for manual labor will be nullified. Furthermore, since errors are fewer, less money is wasted

            ·  Scalability – An AI-powered system will be able to adapt to new challenges better than a usual computerized system, furthermore neural networks can be trained for a wide range of functions and then adapt differently to specific ones. And many more, these are just the primary advantages of applying AI in  Biotechnology.

The FUTURE.....

The future of this marriage between these 2 titans of science is bright, from human genome sequencing being a cheap and mandatory procedure, scientists and doctors being able to halt a pandemic such as the recent Covid-19 in its tracks by the speedy development of a cure, no more waiting lists for organ donations therefore no more unnecessary deaths. And maybe humanity will finally have a chance at tackling the big fish like world hunger and overpopulation. We must not be afraid to venture on ahead and discover, for it is then that we truly support the human race.

Artificial Intelligence has stepped to the Fashion Industry

 

Artificial Intelligence (AI) and Fashion may at first seem like two vastly different aspects of our lives. One is the study of Intelligence in machines while the other is the manner in which we wear our clothes, hair, and other such accessories. However, like everything else in our modern lives, we see technology and digitization seep into every aspect of our lives and it should not be a surprise when technology entwines itself with fashion as well. As an industry worth at least 3 trillion USD it’s vital that the fashion industry augments itself and evolves as it progresses with the rest of the world. This leads us to technology within the fashion industry where AI has heralded a new age. AI has been instrumental in dealing with new fashion trends, identifying consumer needs, designing new fashions as well as being present in the production process. And as such, it has taken the industry to new heights. 

Fashion store with good database

Satisfying the Masses

A significant amount of people shop for clothing online. One survey observed that 80% of the population in the US utilize online shopping websites and applications. Of this, the fashion industry holds a significant number of consumers. In order to customize for each consumer, Artificial Intelligence is employed in a multitude of ways. From conversational home assistants like Google Home and Amazons Alexa to Image recognition where the user can photograph the item and the AI will search the internet for offers and display them to the user. This method can be used with screenshots as well.

In the physical retail market, innovations like the smart mirror enable the user to stand in front of a camera and display where they can browse through the store's selections and see how various clothes look on them without even wearing them first. The AI is able to fit the clothes on to a digital projection of the user. This facilitates the need for fit on rooms and the like thus reducing the hassle of the user while satisfying the users' fashion needs.

 

Designing the Fashion

When comes to designing fashion, we see AI scanning and analyzing current trends. An AI will scan user preferences and user data as well. This propagated through a vast network of questionnaires that the AI will present to a number of users across the internet and AI operated chatbots who operate as virtual assistants who would speak to the users in order to identify their needs. AI is also able to analyze the fashion market as well. This makes the AI capable of predicting the market along with user tastes. This allows the AI to predict the future of the market with respect to demand while also forecasting the trends of the future to an extent due to the fact that it can process much more of the data given by the users much more efficiently than the human brain. Therefore, the AI would already have options available for the designers to work on even before a season starts.

Additionally, the AI is able to compare and contrast designer designs with the market and indicate what designs might be more popular. AI is also capable of designing clothes by itself after analyzing popular trends and copying them. The designer can then in turn work on that particular product to make it better for the market.

 

Manufacturing the Product

In terms of manufacturing, we see a gradual incline in the use of AI and automated machinery in the industry. Machines that can execute procedures that require four people all at once have been introduced into the fashion industry. A few years ago, machines could not handle the dexterity or delicateness required to handle material such as cloth. But now, through machine learning, AI has eliminated those deficiencies and created a better, faster , and stronger alternative to physical labor. Due to customer personalization, a result of the predicting done by the AI, a significant drop has been observed in the number of returned products. Additionally, the AIs predictions allow companies to manage their inventory and identify what products sell better and what products do not.

 

AI has really transformed the fashion industry in all of its aspects. We can observe AI and its handiwork spread out through the entire production process up until the customer themselves have used the product. Customers are able to purchase products that have been customized for them with the current trends and season in mind. They are delivered straight from the machines in the factories through a web application and right to their very doorstep. AI has revolutionized the fashion industry by evolving and interconnecting every facet of the industry together.

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