Category: Haval Dosky

Thinking about Becoming an Artificial Intelligence Professional? Helpful Guidance and Career Options from Haval Dosky

Haval Dosky and the Repeat Consultants, LLC team are always on the lookout for the next generation of dedicated professionals in the emerging technology industry. As graduation season ends and high school graduates use their last summer of freedom to decide what they want to study in college, Haval Dosky thinks artificial intelligence is a great path to choose and therefore wishes to break down some of the critical steps to follow to jumpstart a career in the field.

Why Artificial Intelligence?

Haval Dosky believes that choosing an AI career path provides much more job security than most careers in the modern economic climate. The continued adoption of AI in different industries has demand for AI professionals rising steadily. While there is a general fear that AI will replace human jobs, AI professional jobs are not among the professions at risk. To the contrary, there is a growing need for people who understand how to operate and build artificial intelligence, and as AI usage grows, so will the job market.

Careers in Artificial Intelligence

Before deciding to enter a career in artificial intelligence, Haval Dosky recommends understanding the most popular job roles.

Robotics Scientist

A robotics scientist creates robots for a wide range of tasks and works to improve their function in later versions. If this kind of work appeals to you, Haval Dosky recommends majoring in either computer science or engineering, as these are core competencies forming the building blocks of the job.

Machine Learning Engineer

A machine learning engineer is like a data scientist, using vast quantities of data and programming skills to create AI that can teach itself. Machine learning engineers must have serious software skills and be willing to spend long hours at the computer, because they work with truly massive datasets.

Business Intelligence Developer

One of the biggest emerging careers in artificial intelligence is a business intelligence developer. These developers work within a company and use the data it creates to identify problems within the organization, and then create solutions. Because business intelligence developers have proven to quickly pay for themselves by increasing a company’s profitability and efficiency, the role is growing at a high rate.

Haval Dosky encourages everyone who has a passion and wants to pursue a career in artificial intelligence to go for it. However, a person must be prepared to stay in school beyond their bachelor’s degree. After earning a Bachelor’s in computer science or mathematics, a person will need to go on to earn a more specialized master’s or doctoral degree. Fortunately, by the time a student graduates, they usually have a better grasp on the type of AI job they want to pursue. After acquiring internships and learning more about what these jobs actually entail, it will become easier for young AI professionals to identify the proper career path.

If you are serious about joining the workforce in the field of artificial intelligence, be sure to come back to the blog of Haval Dosky often, as it is regularly be updated to provide further information that young professionals can benefit from.


Haval Dosky on Machine Learning and Robotic Chefs: From Fiction to Reality

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Researchers from the University of Cambridge have collaborated with Turkish domestic appliance and consumer electronics company Beko to use machine learning to train a robot to prepare an omelet. The robot can complete every step in the process, from cracking the eggs to plating the final product. The dedicated team has perfected the robot’s skills to ensure that the final product doesn’t just look presentable; it tastes good as well.

Haval Dosky notes that robot chefs have been on the minds of sci-fi enthusiasts and scientists alike for quite some time, but the prototype chefs built by various companies over the years have been unable to produce at the level of a human being. To crack that problem, University of Cambridge and Beko use machine learning to help the robot account for subjective matters related to flavor in the fine-tuning of the dish.

Dr. Fumiya Iida of Cambridge’s Department of Engineering, the lead researcher for the project, says that cooking presents an interesting catch-22 for roboticists. Good food is largely a matter of taste, and since humans lack of objectivity in terms of food preferences, how can scientists even determine that the robot has done its job well, let alone teach it to make the perfect omelet?

One of the most amazing parts of this area of scientific development is the ability of a machine learning team to confront the complex problems that come up when trying to allow a robot to complete a relatively simple human task. Some of the greatest feats in this field involve giving a robot something close to what we would consider vision, or the ability to manipulate objects, access to other senses, and of course the ability to produce a consistent end product, like an omelet.

Robots traditionally excel at quantitative tasks. Cooking is a qualitative task that tends to be more open-ended in practice and subject to a human cook’s experience and “feel” for the food. This truth stands out to a high degree in the specific case of the omelet, which are easy to make and yet very difficult to make well, and they are even harder to make well consistently. As a more difficult task always makes for a better end product, researchers are hopeful this project results in a cooking AI robot that is leaps and bounds ahead of similar robots used in other culinary pursuits.

Dr. Iida’s team utilized Bayesian Inference for the machine learning used in the project, a statistical tool that updates the probability of a hypothesis constantly as more information or evidence is made available. Haval Dosky finds the team’s ability to adapt was commendable in the project, especially around the challenge of the subjectivity of humans’ sense of taste. In a key realization, the team recognized that because humans tend to give relative measures when it comes to taste, they should tweak the batch algorithm so that the tasters could give comparative evaluations.

One of the most interesting parts of the study’s findings is the results show machine learning can obtain improvements in food optimization that are actually quantifiable. This is the key to giving AI something it can take off and run with. With this project as well as other studies exploring techniques for optimizing robotic chefs, Haval Dosky believes that we are another step closer to making the sci-fi dream of the fully-automated breakfast a reality.

Haval Dosky On Generative Adversarial Networks (GANs) and Their Usage

Haval Dosky On Generative Adversarial Networks

The images featured on thispersondoesnotexist.com may seem indistinguishable from those of regular people that you come into contact with every day. The shocking twist of the website is that each photo on the site was created by artificial intelligence. The artificial artist behind the images is an artificial intelligence algorithm known as a generative adversarial network (GAN). The site, created by former software engineer for Uber Phillip Wang, produces a new, completely fake picture of a nonexistent person’s face each time it is refreshed. This site is a great representative example of what GANs are capable of. In this article, Haval Dosky discusses GANs and some of their most interesting implications for future innovation.

The principle behind GANs was first discussed by computer scientist Ian Goodfellow in 2014. Goodfellow designed a system where two AI systems (a “generator” and a “discriminator”) are pitted against each other in order to improve the quality of the results. The programs compete against each other millions of times to refine their imagine generation abilities until they are practiced enough to create pictures that are indistinguishable from fakes. Up until late 2017, as Haval Dosky notes, researchers were unable to create high-quality images using this method, but Nvidia finally cracked the code using a technique  explained in its famous ProGAN paper.

With Facebook, Google, Nvidia and a host of other tech companies making continued developments with their own versions of this A.I. technique, Haval Dosky wonders what the future of the technology will hold. It is widely believed that the end goal of GANs is to create entire virtual worlds using automated methods as opposed to relying on hard coding. This could be a huge development for the virtual reality industry as it could point towards quicker development and more life-like designs, as hard code for fully-rendered, immersive worlds is already massively labor-intensive and time-consuming in the world of video game development – VR worlds would requires an entirely different level of immersion, making GANs a potential key to VR development.

While using GANs for VR development may still be a far-flung goal, experts in key industries are already finding ways to utilize GANs to produce revenue now. For example, brands have been making use of computer-generated characters to advertise their products, some of which have amassed millions of social media followers. As GANs make these computer-generated models more and more realistic, they will continue to reduce the labor involved in producing them. Haval Dosky also notes that, in a similar sense, GANs could be utilized in order to revolutionize image editing on real images, enabling editors to perform tasks such as applying complex variations to real image and quickly removing textures like rain or even blur from images.

Haval Dosky Discusses the Use of AI in the Fight Against COVID-19

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As a leader in the technological space, Haval Dosky is always keeping tabs on how emerging technology such as artificial intelligence and machine learning is being utilized to make society better. Given the impact that the current COVID-19 coronavirus pandemic is having on our communities, every segment of our economy is heeding the call to step up and pitch in to create solutions and save lives, following the medical profession’s lead. Solutions from the technology sector for harm reduction and mitigation are more important now than ever. In this article, Haval Dosky discusses several ways that AI technology is being implemented to help us fight the current crisis and give us the tools required to lessen its detrimental effects, with the side-effect of making humanity better-equipped to fight the next emergent disease or crisis.

AI Project for Diagnosing COVID-19 Via Voice Analysis

Haval Dosky notes that perhaps the most important current difficulty in trying to keep up with the crisis is the limitations on supply and speed of COVID-19 testing. As necessity is the mother of invention, this scarcity has inspired several teams to find novel approaches to diagnosing the virus.

For example, Carnegie Mellon University researchers are currently developing a voice analysis system for use in diagnosing COVID-19. One of the benefits of this approach is that if successful, testing could be administered remotely, including from the comfort of the patient’s home. This would be enormously helpful in alleviating hospital crowding, decreasing the potential increased rates of spread, and keeping medical professionals healthy. While such a method will likely never be as accurate as a full test, if successfully implemented, it would provide another layer of screening to keep people with other, less serious ailments home safe and out of the risk of infection. Currently, researchers are asking healthy and infected individuals to share a recording of their voices to benefit the algorithm and increase its success.

The test is only a few minutes long, and requires the patient to cough three times, say ‘a’, ‘o’, and ‘e’ sounds for as long as possible, count to 20, and say the alphabet. While the app still in its early stages, and in no sense should be used to replace a regular medical examination, the prospect is exciting and could help many people if successful, not to mention serve as a building block for future advances.

AI Tool for Predicting Critical Illness in Patients

NYU researchers have been enlisting the help of AI to assist with predicting which COVID-19 patients may later develop severe respiratory disease such as Acute Respiratory Distress Syndrome or ARDS. To do so, researchers collected lab, demographic and radiological findings from 53 diagnosed patients and used that data to train AI models. In an interesting development, the researchers found that many characteristics previously thought to be indicators of COVID-19 were not great indicators for predicting if these individuals would later develop other severe ailments. The AI tool determined that Alanine Aminotransferase or ALT levels in the liver, as well as myalgia and hemoglobin levels, could be used for predicting the risk of ARDS with 80 percent accuracy. There is still work that must be done to confirm the validity of the NYU model and perfect it, but Haval Dosky is incredibly impressed by the ingenuity that researchers have displayed in adding to humanity’s arsenal for fighting the COVID-19 virus and future diseases as well.

Haval Dosky on How Connecting Your Business to a Local Charitable Organization Can Be More Beneficial Than You Realize

Haval Dosky

Haval Dosky’s career as a leader in the IT sector with Repeat Consultants has been marked by several forays into charitable giving and volunteer work. Haval Dosky believes volunteering for, and giving financial support to, a charitable organization has many intrinsic benefits for one’s business and, more importantly, for the people that the organization is designed to help. Still, Haval Dosky doesn’t think some businesses fully realize how beneficial contributing to charity can be – because of this, he thinks businesses and charities alike are leaving a lot of organizational potential on the table. In order to spread awareness of the hidden benefits seen by both sides when business are active in charitable giving, Haval Dosky wishes to use this article to break down some of those benefits.

In his career, Haval Dosky has spent a great deal of time building and coming to understand the true nature of some of the more intangible facets of business that are quite vital to success, like employee morale and teamwork. Even in smaller businesses and offices, it can be difficult to find the time to interact with employees whose responsibilities are unrelated to yours. Volunteer activities on behalf of charitable organization can strengthen bonds within your business’s infrastructure and give employees an opportunity to interact as regular people outside of usual business endeavors. The teamwork that  volunteer work requires can also improve the quality of your business’s own output, as well as its output in future charitable efforts. If volunteering on behalf of your business is successful in engendering feelings of connection and positivity in your employees, they may even be inspired to donate time or money to charity in their individual capacities. To take internal company connection to the cause of charitable giving to the next level, when your company is evaluating which charities to focus on next, employee opinion polls are a great and easy way to give your team a sense of ownership and control over the endeavor. This can further connect your team and positively impact your efforts overall.

Another benefit to contributing to charitable organizations that accrues to both businesses and charities is that the activity itself naturally boosts publicity for both sides in a way that can avalanche in a positive direction. While Haval Dosky believes that altruism should always be the primary motivation for donating to charity, the reality is that by sponsoring or volunteering, one can generate awareness for the cause and set an example in the community. Many charitable organizations, especially local ones, stay small and suffer from meager funds because people are simply unaware of either the cause or the organization itself – it’s not from a lack of interest in helping by the general public. When people see that others are putting in effort towards a given cause or organization, the idea is contagious. If your business has a track record of generating even a meager level of press, you can help organizations that suffer from a lack of attention relative to more famous institutions and causes. This can have a multiplying effect because your help can spur more help by getting other important donations beyond your own. As an entrepreneur that frequently gives back to the community, Haval Dosky recognizes how important it can be to lift others into the spotlight to establish their own powerful platform for outreach. By backing charitable organizations whenever you can, and approaching the task with intentionality and purpose, you can create a positive feedback loop via positive publicity and press.

The direct help charitable giving can provide to those in need is staggeringly important and should never be discounted. However, the hidden benefits like those mentioned in this article are not to be ignored, and these are just two of many. Haval Dosky believes the maxim, “’tis better to give than to receive” is more than just a moralistic slogan – giving back truly creates much more value than the direct-level assistance one normally associates with charity.