Рубрика: Robotics

A new robot called Clockwork, is the world’s first autonomous robot for manicures

A new manicure robot called Clockwork is the world’s first robot manicure company. Using an autonomous robot for manicures offers a quicker, cheaper, hassle-free way to get your nails done. The machine captures a series of photos of the user’s hand with built-in AI and 3D cameras, so it can build a multi-dimensional map. The artificial intelligence in the machine then uses that map to figure out where it needs to put the nail polish. This robotic experience wasn’t devoid of human contact. Ideally, Clockwork wants other businesses to lease or buy its manicure machines.

Manicure robots:

Clockwork is formerly known as Marionette AI when it first formed as a beauty tech company in 2017. The Clockwork machine provides a no-frills paint job that doesn’t include nail clipping, cuticle removal, filing, or hand massages. When the customer arrives, they choose a nail polish color and place the polish cartridge into the Clockwork robot, which looks like a big purple box.

The company keeps collecting camera footage of your fingernails for about 24 hours, but that’s to train and improve the machine-learning algorithm. While Clockwork’s AI system is unique and innovative, it will never replace the abilities of a trained professional. AI can identify edges with 0.3mm accuracy and tells the robot what is skin and what is a nail. For instance, a robot can’t taper the sidewalls of nails, prep the nail plate, or provide detailed nail art.

Clockwork says the machines are not meant to replace full-service nail salons. They don’t intend to eliminate jobs or push workers out of their livelihood. Sure, freeing all those workers up from that grueling environment would be great. But for a robot to really help, they’d need a plausible new career to do instead. Each day Clockwork engineers overview what mistakes and issues came up from the lab appointments.

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Sayabot wore a saree and went to Kochi’s Federal Bank to acquire a loan-sanction letter

Considering the present advancement of the robotics industry, it is quite evident that robots are here to stay. Human-like robots, also known as humanoids, are no longer confined to our imagination. When Hanson Robotics introduced Sophia to the world, it already transformed our imagination about how robots and humans will interact in the future. Presently, there are not only humanoid robots in the world but also robot pets that robot owners are loving. Earlier, Hanson Robotics decided to produce more humanoid robots to serve the healthcare sector, when the Covid-19 pandemic accelerated and took a wild turn. But now, humanoid robots are not serving healthcare, but several global industries at the same time. Recently, the internet is stormed with praises as ASIMOV Robotics Pvt Ltd sent their new humanoid robot, recognized as Sayabot, to receive a loan sanction letter from Kochi’s Federal Bank. The video showed that the robot was dressed in a saree and other traditional adornments and was taking the letter on behalf of the company.

Asimov Robotics is an India-based robotics company that offers world-class solutions that the industry faces on a regular basis in a sustainable manner. Its latest production, Sayabot is clearly winning hearts over the internet, and why wouldn’t it? Receiving a loan is a crucial step for any enterprise, and Asimov’s move to send a robot instead of a senior representative from the company is reportedly quite a heartfelt step. In the video, the robot is seen greeting the bank officials and then addressing them, and it moves it hands while addressing the people. The video ends with the robot ending its speech, and a female official handing over the official papers of the financial assistance that the company received.

Experts believe humanoid robots will soon take over the world

Over the past couple of days, the video has grabbed much attention on the internet, with several users flooding the comments section, where some are praising the robot, where others say that humanoid robots are at their primary phase of taking over the world, and it is only a matter of time, when these robots will take over major positions in global industries, enter the military and defense forces, and finally take over the world. China has already become the home of a company that has a humanoid robot as CEO. A Chinese metaverse corporation recently named a humanoid robot as its CEO, which is named Ms Tang Yu, making it the first time for a robot to be given an administrative position in a company. Well, it is quite evident that those comments are probably predictions that might come true in the future!

More and more companies are emerging in the market that are producing avant-garde robots, designed to take over the world. Until now, most robots have taken the form of expensive, high-precision industrial machines. But currently, there are more cheaper and flexible machines that are emerging to be more adaptive. As we advanced towards the future, we look forward to humanoids and robots evolving further and finding broader applications for themselves as they become more affordable and efficient. Nevertheless, humans still have to monitor robots, before they get out of hand!

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Amazon is attempting to scale up with initiatives such as salary hikes, mergers and acquisitions, and partnerships with third parties

Amazon, the eCommerce giant and a warehouse company, is not new to acquiring robotic companies. Starting with the acquisition of Kiva Systems in 2012 for $775 million has come a long way with the recent acquisition of iRobots for a whopping $1.7 billion. And recently it acquired Cloostermans, a Belgian Robotics company, it has been using the services since 2019 for eCommerce operations and scaling up its R&D and deployment operations. “We’re thrilled to be joining the Amazon family and extending the impact we can have at a global scale. Amazon has raised the bar for how supply chain technologies can benefit employees and customers, and we’re looking forward to being part of the next chapter of this innovation”, said Frederik Berckmoes-Joos, CEO of Cloostermans, in a statement for a blog post published by Amazon. Around 200 Cloostermans’ employees would join Amazon’s workforce. Without disclosing the financial terms of the deal, it revealed that operations for the acquired Belgium-based company will continue from its base, located in Hamme after the deal concludes.

Prima facie, might seem like a normal business merger and acquisition initiative which probably is for very valid reasons, but reports point out that it has been ramping up robotics acquisitions to meet the demands that arise out of its ever-expanding business operations. A leaked internal memo, reported by Recode, warns of severe staff shortage, which may put Amazon’s service quality, reputation, and growth plans at risk. Since the last decade, it has been expanding its operations, including in Europe, all while ramping up its hiring initiative all over the world. Experts are of opinion that Amazon’s workplace culture which is focused on “customer obsession” – which made Amazon a convenient work model the world has not seen before – is responsible for the surge in expansion and hence the acquisitions.

Cloostermans, going by its antecedents, strikes as a well-established company. Set up in 1884, it was largely a privately run family business held by the last six generations. Given the fact that Amazon is one of Cloostermans’ biggest customers, the deal might have gone through seamlessly. Apparently, Amazon is attempting to scale up its operations using a mixed bag of initiatives such as salary hikes, mergers and acquisitions, and partnerships with third parties, which Cloosterman was part of, providing robots for packaging and moving operations. “We have more than 5,20,000 robotic drive units, and have added over a million jobs, worldwide. We have more than a dozen other types of robotic systems in our facilities around the world, including sort centers and air hubs. From the early days of the Kiva acquisition, our vision was never tied to a binary decision of people or technology. Instead, it was about people and technology working safely and harmoniously together to deliver for our customers. That vision remains today”, asserts Amazon in one of its blog posts. Clearly, Amazon is turning adversity into an opportunity to not only expand its operations but become self-dependent, and it reflects in its statement to TechCrunch, “We have a vision for a future where people work alongside robotics to further improve safety and the workplace experience” when it acquired Canvas Tech in 2019.

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Researchers discovered that walking and slithering are not different from robotics data

Abrahamic texts treat slithering as a special indignity visited on the wicked serpent, but evolution may draw a more continuous line through the motion of swimming microbes, wriggling worms, skittering spiders, and walking horses. A new study led by the University of Michigan that all of these kinds of motion are well represented by a single mathematical model to identify how the motion of slithering is more than just a long-thought unique characteristic for a serpent. The team discovered the connection by taking a known model that describes swimming microbes and then reconfiguring it to use with their multi-legged robotics data. Also, while multipod robots slip up to 100% of the time, the team used data about ants walking on flat surfaces, finding they only slip about 4.7% of the time.

Walking and Slithering Share Common Characteristics:

This study holds the potential for helping us better understand the laws of kinematic motion. Even humans begin learning to propel themselves kinematically, crawling on hands and knees with the three points of contact on the ground at any time. The expanded understanding of kinematic motion could change the way roboticists think about programming many-limbed robots opening new possibilities for walking planetary rovers. This didn’t come out of anywhere but from our real robot data.

Even when the robot looks like it’s sliding, like its feet are slipping, its velocity is still proportional to how quickly it’s moving its body. The team took a known model describing swimming microbes and applied it to their multi-legged robots, with the result being a six-legged robot called BigAnt. Slipping feet complicates typical motion models for robots, and the assumption was that it might add an element of momentum to the motion of many-legged robots.

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Robots are stepping up to the plate to help with the issue of caring for the elderly. For instance, Mr. Bah, a robot, can detect when the elderly are ready to lose their balance and catch them before they fall.

The animated 1960s sitcom The Jetsons featured Rosie the robot maid zipping about a futuristic house doing all the chores humans would rather avoid. Assistive robots have not quite caught up to that level of technology. But in a few years, robotic assistants might be a common sight in the homes of elderly people, assisting them in taking care of themselves, offering emotional support, and affording physicians and nurses remote access. They could provide residents with entertainment or housekeeping assistance in nursing homes. Additionally, they are already doing some routine duties in hospitals, freeing up nurses to concentrate on patient care.

As the world’s population ages, there is a growing need for automated help. The World Health Organization forecasts that there are more than 1 billion persons over the age of 60, and that number will increase to 1.4 billion by 2030, or one in every six people, necessitating the hiring of an additional 6 million nurses. Since 2015, the government of Japan, where roughly one-third of the population is over 65, has offered incentives to care institutions for the acquisition of robots. These include robotic baby seals that help calm dementia patients as well as exoskeletons that assist workers in lifting patients.

Falling is one of the major causes of mortality for those over 65 worldwide, thus researchers at Nanyang Technological University and Tan Tock Seng Hospital in Singapore are working to reach senior communities with the device. According to CDC data, falls in the US are the main reason why people 65 and older die from injuries.

Mister Bah, also known as the mobile robot balancing assistance, is a wheeled vehicle with sensors and a hip strap for patients to wear. Researchers plan to start selling their new robots within the next year. It can assist patients who lose their balance before they fall to the ground. The device follows elderly patients as they go about their daily business, including sitting, standing, and obtaining drinks. The harness attaches itself and stops a patient from falling when Mister Bah detects that they are going to lose their equilibrium.

According to senior researcher Wei Tech Ang, “Many of these patients slip into a negative spiral since they don’t walk because they are afraid of falling, they just sit there all day along with that, the device would also help keep patients active.”

MRBA was utilized for three days in the first clinical studies including 29 patients at hospitals, and every fall was successfully avoided. There were patients with spinal cord and brain damage. MRBA has reportedly been tested on 50 hospital patients, who, according to Ang, are constantly asking when they can utilize the device once more.

Ang claimed that after observing how his elderly mother was affected by a lack of balance, he started researching the possibility of a robot assistant. “My mum was the target,” Ang added. “My mother fell approximately ten years ago; at that moment, I started to have this notion of a robot to assist so that people don’t fall at home,” the researcher added. Ang also stated that once the robots are made accessible to the general public, he wants to present one to his mother, who served as the inspiration for their creation.

The team now aims to conduct tests in various environments and work to get Mister Bah approved by regulatory organizations worldwide so that Mister Bah may begin selling the devices. The team wants to offer a high-tech version to hospitals and a personal at-home version, but they need to raise millions of dollars to make this happen, according to the Washington Post.

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If AI Art generators are inserted into a robot, it can do wonders, here is an example.

If you’ve been hanging out on Twitter lately, then you’ve probably noticed a profusion of AI-generated images sprouting all over your timeline like weird, algorithmic visions. These pictures have been generated using a new app called Dream, which lets anyone create “AI-powered paintings” by simply typing a brief description of what they want to see. It’s odd, often uncanny stuff- and extremely fun.

The resulting artwork has its own particular aesthetic, defined by swirling shapes and incoherent objects. The real magic, though, is that no matter what you type, the app will generate something visually compelling (at least until we get too used to these toys) and that matches your prompt in often surprisingly opposite ways.

UK-based robotics company Engineered Arts just gave an ultra-realistic-looking humanoid robot Ameca a voice. Ameca is the world’s most advanced human-shaped robot representing the forefront of human-robotics technology. In a new video, the company showed off Ameca having a conversation with a number of the company’s engineers, courtesy of a speech synthesizer and OpenAI’s GPT 3, a cutting-edge language model that uses deep learning to generate impressively human-like text.

It seems it is and it’s an impressive demonstration of the power of cutting-edge robotics. Perhaps what’s most noteworthy about the video is that now the robot also moves the parts below its head. Something it did not do in the first video.

It can be seen gesturing its hand around in what seems like a very realistic movement. There’s no doubt about it, when it comes to mimicking humans Ameca is a pro!

In their video, Engineered Arts also took a swipe at Tesla’s unsuccessful attempt to build a humanoid robot. In the background, a person can be seen watching a video featuring the Tesla dancer that was subbed in for an actual humanoid robot.

Specialty of the Robot

The company Engineered Arts says that Ameca is the “world’s most advanced human-shaped robot” which would represent “the forefront of human-robotics technology”. It further says that Ameca is “the perfect humanoid robot platform for human-robot interaction” and is based on technologies that are reliable, modular, upgradeable, and easy to develop. Interestingly, each module of the robot can function independently, meaning you don’t need a fully assembled robot and can only use its head or even a single arm.

The cloud-connected focus feature of the robot, which would allow its owners to control it as a personal avatar, animation, and simulation, is another interesting feature. Powered by the Tritium operating system, the company says that Ameca is basically a subject where artificial intelligence and machine learning systems can be tested. “Ameca gives us a glimpse of the future and provides a reliable hardware platform to develop new AI and machine learning technologies”, the company said.

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Scientists try to teach AI-powered robots to laugh to teach them empathy

Artificial intelligence is set to be involved in more and more vital activities, from banking to medicine. Scientists are now developing an AI system that aims to recreate these nuances of humor by laughing in the right way at the right time. Scientists at Kyoto University are training an AI-powered robot to laugh. The team behind the laughing robot is called Erica. This is, of course, a difficult project that could take decades to become a reality. Humans respond to an inviting laugh within half a second on average. Further, for robots to laugh convincingly with humans, they must be able to tell when a person wants such an interaction.

Researchers teaching robots to laugh:

The AI-enabled creature can copy human behavior but somehow feels unnatural and alien in interactions. The system could improve natural conversations between people and AI systems. The team tested out Erica’s sense of humor by creating four short dialogues for it to share with a person, integrating the new shared-laughter algorithm into existing conversation software

Scientists gathered training data from more than 80 speed-dating dialogues between male university students and the robot, which was initially teleoperated by four female amateur actors. This data was then used to train a machine learning system to decide whether to laugh and to choose the appropriate type. The ostensible reason to make machines cognizant of how people laugh is to teach them empathy. This will make them more human.

Robots should actually have a distinct character, and Scientists think that they can show this through their conversational behaviors, such as laughing, eye gaze, gestures, and speaking style. Because laughter is such a crucial part of what it means to be human, Scientists won’t have convincing artificial intelligence until our machines can laugh along with robots.

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A lot of people don’t realize that they already engage with AI systems

Without even realizing it, humans engage with artificial intelligence systems regularly. Many individuals have already begun to sense an emotional connection to them, but will this connection ever be returned? Is it conceivable that machines will ever develop an emotional connection to us?

Let’s begin by defining the distinction between robots and machines. The distinction, as seen from a scholarly perspective, is the level of intelligence ingrained in the system. When an electro-mechanical device can mimic certain intelligent behavior, we refer to it as a robot instead of a machine (for instance, a “washing machine”).

Artificial intelligence can be pre-programmed, like “following a line” in the setting of a robot guide, or it can be learned, like “imitating this person walking” in the setting of a humanoid robot, to recreate this intelligent behavior. However, is it possible for AI to develop real emotions? This post’s major goal is to study this subject, but in order, the toe must first acknowledge how uncommon it is to acquire unhelpful behavior.

Not in the form of ruthless killer robots like the Terminator, but in much more subdued forms, such as chatbots, facial expression recognition, interpreters, personal assistants, and movie recommendation systems; AI is not science fiction and is now a reality.

However, a lot of people don’t realize that they already engage with AI systems, and they frequently reject and dread the idea that a smart machine could become self-aware. The most pressing worry is being replaced at work by an AI system, but there are also worries about the potential extinction of the human race at the hands of machines.

These responses are entirely typical. Based on our higher human intelligence, humans have long fostered our self-esteem as a superior species (homo sapiens literally translates to “wise man”).

We have naturally begun to wonder whether computers or intelligent robots will be better than humans now that AI is here and has begun to show its capabilities, including winning chess games (the deep blue machine), managing large amounts of data without exertion, carrying out complex tasks in minimal time, and even deciphering the human genome. Some people are concerned that AI could enslave or eradicate us.

This style of thinking results from the unconscious assumption that a robot is capable of feeling emotions (that it is sentient) and that these emotions would cause the robot to attempt to wipe out the human species. The reality is that machines designed to have intelligence do not have emotions.

As a result of our own evolutionary process, we have emotions. Charles Darwin and other scientists investigated the idea that human emotions ultimately serve to aid the organism’s survival, which is necessary because the organism is alive.

Focusing on the artificially intelligent machines we frequently employ, it does not appear that these systems require the ability to experience emotions or that doing so would enable them to perform jobs more effectively.

It could be extremely useful for systems that deal with people to be able to recognize certain fundamental human emotions and respond appropriately. Wouldn’t it be helpful if the interfaces on our mobile phones could change based on how we’re feeling? Even if this were possible, technology still wouldn’t have feelings. In other words, machines just need to appear to be compassionate. They do not necessarily need to be.

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These top 10 technologies are leading the machine-to-machine revolution in 2022

The emerging technologies are linking machines with one another like no other. Enterprises now aim to include technology in every sector and as a whole, these technologies hold up the whole business ecosystem of the organizations. Here are the top 10 technologies that are leading the machine-to-machine revolution.

Artificial Intelligence

AI refers to a computer system designed to mimic human intelligence and perform tasks like image recognition, speech recognition, pattern recognition, and even higher cognitive processes. Compared to human intelligence, AI can perform all of those activities more accurately. AI is additionally used to examine interactions to uncover previously undetected linkages, as well as to estimate facility demand in real-time to manage resources and identify dynamic patterns among users. Machine Learning, which will be highlighted below, is one of the more advanced branches of AI. The technology is employed to provide computer systems with the power to create human-like behaviors.

Machine Learning

Machine learning is becoming more widely adopted across enterprises and industries, leading to a major demand for skilled individuals, making ML one of the foremost emerging technologies for 2022. Machine learning is a kind of data analysis that automates the creation of analytical models. It is a field of AI, based on the premise that computers can learn from data, recognize patterns, and make judgments with little or no human input. Machine learning is employed in many apps on our phones, including search engines, spam filters, websites that generate personalized recommendations, banking software that detects suspicious transactions, and speech recognition.

Robotic Process Automation

Robotic Process Automation like computing is a technology that is used for everyday work. This technology is employed to automate repetitive processes like email handling and replying, transaction processing, and data management. This technology enables anyone to build computer software, or a robot to mimic and incorporate human activities while interacting with digital systems to create business processes. This system never sleeps and never makes an error. RPA, as compared to other technologies, allows an individual to automate at a fraction of the cost and time previously required.

Data Science

It is the fourth on the list of emerging technologies for the year 2022. Data Science is the automation that aids in the simplification of complex data. Several companies produce enormous amounts of data each day. It includes, among other things, sales data, customer profile data, server data, business data, and financial models. Almost all of the data gathered is unstructured and indeterminate. Data Scientists turn datasets into determinable ones and so the organized data is reviewed for trends and patterns.

DevOps

DevOps is a methodology that brings together software development and IT operations. Its goal is to shorten the software development life cycle and provide high-quality software delivery continuously. DevOps, when combined with innovative techniques and methodologies, allows companies to attain their goals faster. This is often why DevOps, a relatively new technology, is listed among the top ten trending technologies for 2022.

Blockchain

Blockchain is the most advanced and cutting-edge technology when addressing electronic records in the year 2022. In simpler terms, a Blockchain is an electronic record that may be shared among several users. Blockchain aids in the creation of a permanent record of transactions. Each of them is saved in a machine and is connected to the one before it. Many seem to believe that Blockchain is solely concerned with cryptocurrency, which isn’t the reality. Bitcoin and other cryptocurrencies are only small segments that use Blockchain technology.

Edge Computing

It is a comparatively new technology that is rapidly gaining traction. According to IBM experts, Edge computing is transforming the way data is managed, processed, and implemented across millions of devices. Edge computing brings computations closer to data storage systems, leading to improved application performance.

Virtual Reality

Virtual Reality is the next big thing in the world. This cutting-edge technology creates sounds, lifelike visuals, and other emotions that transport you to a fantastical realm. Virtual reality is a technology that allows one to immerse in an environment that appears to be incredibly real. This program makes use of computer technology to create a restorative situation. It’s a remarkable piece of technology, particularly for playing video or computer games.

Internet of Things

The Internet of Things (IoT) is the future of the digital world. It refers to a network of interconnected devices that communicate with each other and share data. These electronic devices can communicate over Wi-Fi, allowing them to share data based on their surroundings and the way they’re used. They have usage in home appliances, cars, enabled devices, and many more that can connect to the internet and exchange data. IoT is now extending to the Internet of Behavior (IoB). With the use of IoB, businesses can track client behavior and use IoB to benefit their respective channels.

Cybersecurity

Cybersecurity will remain a popular technology this year and going forward. Malicious hackers attempting to gain unauthorized access to data would not quit quickly, and they will continue to find ways to avoid even the most stringent protection measures. It’s partly due to the adoption of modern technologies to improve defense.

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BENGALURU, India; Sept. 21, 2022 – Accenture (NYSE: ACN) and the Indian Institute of Technology Madras (IITM) have set up a Center of Excellence (CoE) to undertake collaborative research projects and jointly develop intellectual properties and thought leadership focused on digital engineering and manufacturing across industries.

Specific areas of collaboration will include autonomous robotics systems (ARS), industrial internet of things (IIoT), digital twin systems (DTS) and advanced automotive technologies such as electric mobility services. The CoE will also work as an incubator and identify disruptive early-stage startups to drive innovation and research in these areas.

“Advanced digital technologies can help enterprises drive new levels of productivity, competitiveness and sustainable growth in a fluid and rapidly changing environment, and industry academia partnerships are crucial for developing solutions and talent for the future,” said Mahesh Zurale, senior managing director, lead – Advanced Technology Centers in India, Accenture.

“With increasing use of digital technologies in manufacturing, breakthrough innovations in areas such as AI, IoT, autonomous robotics systems and digital twins are necessary to fuel the next era of industrial revolution,” said Raghavan Iyer, senior managing director, Innovation lead – Integrated Global Services, Accenture Technology. “Through our collaboration with IITM, we look forward to working with some of the brightest talent in technology to create powerful and purposeful solutions that can drive impact.”

Welcoming this partnership, Dr. V Kamakoti, Director IITM said, “As a premier technology institution in India, we have been actively collaborating with innovative organizations globally to co-innovate disruptive products and services in new and emerging areas. We are excited to be setting up this new Center with Accenture as it not only aligns with our interest and objectives, but also brings intellectual and practical skills that are necessary for our student researchers for the future.”

University collaboration has been key to Accenture’s innovation agenda. The company has been collaborating with leading universities around the world to jointly develop forward-looking thought leadership, research, educational programs, and other activities. Most recently, Accenture collaborated with the Indian Institute of Science (IISc) Bengaluru to establish Accenture Center for Advanced Computing.

About Accenture

Accenture is a global professional services company with leading capabilities in digital, cloud and security. Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services and Accenture Song — all powered by the world’s largest network of Advanced Technology and Intelligent Operations centers. Our 710,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities. Visit us at accenture.com.

About IIT Madras

The Indian Institute of Technology Madras (IITM) was established in 1959 by the Government of India as an ‘Institute of National Importance.’ The activities of the Institute in various fields of Science and Technology are carried out in 16 academic departments and several advanced interdisciplinary research academic centres. The Institute offers undergraduate and postgraduate programmes leading to B.Tech., M.Sc., M.B.A., MTech., M.S., and Ph.D., degrees in a variety of specializations. IITM is a residential institute with more than 600 faculty and 9,500 students. Students from 18 countries are enrolled here. IITM fosters an active entrepreneurial culture with strong curricular support and through the IITM Incubation Cell.

Recognized as an Institution of Eminence (IoE) in 2019, IITM has been ranked No.1 in the ‘Overall’ category for the fourth consecutive year in India Ranking 2022 released by National Institutional Ranking Framework, Ministry of Education, Govt. of India. The Institute has also been ranked No.1 in the ‘Engineering Institutions’ category in the same Rankings for seven consecutive years – from 2016 to 2022. It was also adjudged as the ‘Top innovative Institution’ in the country in Atal Ranking of Institutions on Innovation Achievements (ARIIA) in 2019, 2020 and 2021. ARIIA Ranking was launched by the Innovation Cell of Ministry of Education.

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Contact:

Keerthi Goutham

Accenture
+91 99000 94099

Keerthi.goutham@accenture.com

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