Edtech company Clevered announces the launch of its new artificial intelligence internship program in India. This is the country’s first ever artificial intelligence internship program. It is a beneficial program to learn new skills that future jobs would require.
National Education Policy 2020 also encouraged the inclusion of artificial intelligence into the standard curriculum of schools. The internship program will offer adequate theoretical knowledge along with hands-on experience practical implementation of artificial intelligence technologies.
Clevered has collaborated with a senior researcher from Oxford University for designing this one of a kind program. It is a three months internship program that would have weekly interactive classes to teach students different aspects of artificial intelligence and its real-world applications.
Learners would get the opportunity to interact with world-renowned experts and researchers who would mold the learner’s mindset related to artificial intelligence that would help students to make better informed decisions regarding their careers.
Industry leaders from Microsoft and PwC will also be a part of this program as guest speakers. They will inform students about how artificial intelligence is actually used in their respective organizations.
The learners will also be informed about career opportunities in the field of artificial intelligence and machine learning. Oxford University has also acknowledged this program to be very useful for students to explore future opportunities in artificial intelligence.
Earlier this year, a seven-year-old child from UAE completed this artificial intelligence internship program becoming the youngest in the world to finish the course. Clevered will provide a letter of recommendation and certificate on completion of the course.
United States-based artificial intelligence company Dataiku raises $400 million in its series E funding round led by Tiger Global. Other investors like ICONIQ Growth, FirstMark Capital, Battery Ventures, Snowflake Ventures, and CapitalG participated in the funding round.
The new funding has increased Dataiku’s market valuation to over $4 billion. The company plans to use this funding to expand its client base of Everyday AI in different parts of the world.
Dataiku’s artificial intelligence platform enables businesses to analyze data and generate insights. The funding will also help Dataiku further improve its platform to provide better quality services to its customers.
Co-founder and CEO of Dataiku, Florian Douetteau, said, “Organizations that use Dataiku elevate their people – whether technical and working in code, or on the business side and low- or no-code – to extraordinary, arming them with the ability to make better day-to-day decisions with data.”
He further mentioned that the new funding proves that Everyday AI is the new future. The company is all set to provide artificial intelligence services to new businesses to make them realize its benefits.
Dataiku was founded in New York by Florian Douetteau, Clement Stenac, Marc Batty, and Thomas Cabrol in the year 2013. The company specializes in developing centralized artificial intelligence data platforms for businesses and has an industry-leading customer base of more than 450 companies, including Fox News Group, General Electronics, and Unilever.
John Curtius of Tiger Global said, “We’ve seen that executing an AI strategy in which data is a part of day-to-day operations can have a large-scale impact for organizations across sectors and sizes, and Dataiku is well-positioned to continue to help the enterprise realize this potential value given both the strength of their technology and the team.”
He also added that they are thrilled to be a part of Dataiku’s mission of systematizing data using artificial intelligence technologies. Earlier, Dataiku had raised $100 million in its series D funding round.
Dutch multinational conglomerate company Philips announces that it plans to invest ₹300 core and hire 1500 new employees in India. This announcement was made by the CEO of Philips Global, Frans Van Houten.
He also mentioned that the company is planning to expand its facilities in Pune, India. After establishing its Innovation Center in Bengaluru, the company now wants to expand its operations in other cities like Chennai that would create new employment opportunities for Indian workers.
Van said, “I would mention the importance of our Innovation Centre in Bengaluru, where most of our software resources reside. We are also expanding our Global Business Services Hub in Chennai, so overall employment for Philips in India is strong. We have a current plan to expand employment by at least 1,500 people.”
The enterprise wants to use the massive talent pool of India to grow further and believes that India is a great market to be in. Van also mentioned that there is a huge possibility of growth in the local manufacturing industry as the country has a good workforce.
Leveraging the manufacturing potential, Philips will expand its Pune facility to increase its production capacity. Due to the COVID-19 pandemic, Philips had increased its manufacturing rate of critical care equipment like ventilators and monitors in the later quarters of 2020.
“On one hand, we saw critical and acute care rise rapidly, on the other, we saw the more conventional business for elective procedures go down,” said Van.
Last year, the company announced that it would invest ₹300 over three years to manufacture X-ray equipment, MRI components, and ultrasound machines in its Pune facility. Managing Director and Vice-chairman of Philips Indian subcontinent division, Daniel Mazon, said, “Covid-19 is not stopping us from our plans as we double down on our investments and focus on India.”
A new robot uses human-like tactile sign language to enable deaf and blind individuals to communicate with others independently. This unique robot named Translational User Mechanism (TATUM) is developed by a bioengineering graduate student from Northeastern named Johnson.
Two deaf and blind individuals participated in the testing of this robot. The participants are also giving inputs and recommendations to Johnson for possible improvements that can be made to the robot.
Johnson pursued a course in sign language as a sophomore and also interacted with members of the deaf and blind community of Massachusetts to gather the required knowledge to develop this robot.
Deaf and blind individuals often need translators to be constantly present with them for interaction with others. But with this robot, they would be able to express themselves with their hand signs to society without the need of a human translator.
Johnson mentioned that she wanted to build a technology that would enable people dependent on American Signal Language to interpret and communicate with other individuals independently.
“When I was watching the interpreter sign, I asked, ‘How do you communicate without the interpreter?'” and the answer was simply, “‘We don’t,” said Johnson.
This unique robot will be extremely useful in places where individuals would want to have discussions in private, like at a doctor’s office or at home. Johnson is currently training the robot to fingerspell some basic words of the American Manual Alphabet system.
Johnsons aims to train this robot to the extent that it could connect to digital platforms like email, messengers, and social media to help differently-abled people connect with the world seamlessly. She is currently working with an assistant professor of bioengineering at Northeastern Chiara Bellini to develop TATUM.
Customer experience automation startup Yellow.ai raises $38 million in its series C funding led by WestBridge Capital. Other investors like Salesforce Ventures, Lightspeed Venture Partners, and Sapphire Ventures also participated in the Series C funding round of Yellow.ai.
With this new funding, the company plans to boost its expansion in the global market and capture more market share in the United States. The startup has also recruited seventy new skilled employees to work on its platform.
Earlier this year, The firm renamed itself from Yellow Messenger to Yellow.ai. Co-founder and CEO of Yellow.ai, Raghu Ravinutala, said, “Yellow.ai has broken out of the crowded virtual-assistant market with our automation-first with a human-assist model, to deliver a higher customer satisfaction and incremental revenue growth to our enterprise clients.”
He further added that they are prepared to become the global leader of customer experience automation as they are witnessing massive client expansion and increased revenue generation.
Yellow.ai is a California-based startup founded by Ankit Das, Jay Kishor Reddy, Raghu Ravinutala, and Rashid Khan in January 2016. The company specializes in developing customer experience automation platforms using natural language processing.
Yellow.ai’s product enables businesses to build personalized chatbots and voice bots. Yellow.ai has a customer base of more than 700 companies that are spread across 50 countries globally.
The firm has raised a total funding of $102 million till date. Company officials said that their client count increased after the outbreak of COVID-19 as most businesses were shifting towards a digital approach.
Founder of Westbridge Capital, Sumir Chadha, said, “What impressed us the most is the speed at which customers deployed yellow.ai for support automation and quickly scaled to commerce, HR, and other use-cases.” He also mentioned that pattern proves Yellow.ai’s capability of creating an impact across the board.
Securities and Exchange Board of India (SEBI) announces its plans to use artificial intelligence and machine learning solutions to boost its surveillance and investigative capabilities considerably.
The statutory body has decided to invest a massive chunk of money in upgrading its technologies for improving its operations. SEBI’s annual report mentioned that in the coming years, it would make major information technology changes and adopt new technologies to enhance its day-to-day operations like policy-making and regulating the market.
According to the report, various artificial intelligence machine learning rule-based algorithms will be used by SEBI and will be implemented for analyzing unstructured data on its data lake platform.
SEBI officials said, “SEBI will also perform external penetration testing of public domain websites of MIIs and select securities market intermediaries in order to proactively advise these entities on strengthening their cybersecurity.”
In recent years, the number of cyberattacks in the financial market has increased drastically that has given rise to more fraudulent activities. SEBI wants to put a check on these illegal actions by improving the cybersecurity of public domain websites.
The regulatory body mentioned that these new technologies would be used by various departments of SEBI to maintain a healthy financial market environment. SEBI will use artificial intelligence systems to train human intelligence algorithms that would refine its fraud detection system. The body has already established a separate department for the automation of mutual funds.
SEBI said, “The division aims to add new alerts and cover the entire gamut of quantitative aspects of inspections. Further, in-spirit violations would also be identified and added for surveillance.” The new technologies adopted by SEBI will have the capability of detecting complex manipulation techniques used by fraudsters.
Japanese multinational company Fujitsu announces that it will power the new Galileo XAI solution from LARUS. The companies plan to use Fujitsu’s Finplex artificial intelligence scoring platform to power Galileo XAI to provide finance solutions for businesses across the globe.
Fujitsu’s platform enables enterprises to generate accurate graph-structured data using deep tensor machine learning technology. The new platform is an artificial intelligence-powered data analytics and visualization tool capable of displaying explainability outputs generated by Finplex in a very user-friendly manner.
Galileo XAI is expected to be launched in August 2021 in the global market, while Fujitsu plans to offer similar services in Japan.
The combined technology will be able to provide graph-structured data at a rapid pace that other standard technologies can not generate. This would allow businesses to get accurate graphical insights and help them plan their financial strategies.
Senior Vice President of Financial and Retail Solutions at Fujitsu, Masaru Yagi, said, “To ease people’s concerns about AI and further Fujitsu’s goal to make AI trustworthy, we’ve added explainable graph AI `Deep Tensor’ technology to `Finplex EnsemBiz,’ which offers users the ability to understand and verify the reasoning behind the outputs of a system’s decision-making processes.”
He further mentioned that their explainable artificial intelligence platform is completely transparent, allowing customers to embrace innovations that deliver an edge in business.
Apart from the finance industry, the companies also plan to launch their solution for other sectors like education, pharma, and manufacturing in the future.
CEO of LARUS, Lorenzo Speranzoni, said, “We look forward to our continued partnership and the expansion of our offering to customers in the Japanese and global markets.”
NVIDIA announces that its Inception platform for artificial intelligence startups has crossed over 8500 members globally. NVIDIA’s platform accounts for more than half of the total startups in the world.
Inception has become one of the largest artificial intelligence startup ecosystems in the world, having members spread across 90 countries. The platform was first launched in 2016 and has grown exponentially since then.
Inception has also raised a total funding of $60 billion. NVIDIA says that the healthcare industry has the largest number of startups, followed by the entertainment and retail industries. The Inception platform also has members from the robotics and information technology industry.
The NVIDIA report points out that the United States accounts for around 27% of artificial intelligence startups globally and has raised more than $27 billion in funding rounds cumulatively.
The report also mentioned that California has the highest number of startups in the US, having 42% of the total startups, out of which 29% are based in San Francisco. Trailing behind the United States is China that accounts for 12% of Inception members, followed by India, having 6% of the total artificial intelligence startups.
Other countries like the United Kingdom, Germany, France, Netherlands, Japan, Russia, and South Korea account for less than half of the NVIDIA inception members. Among the IT startups, computer vision and predictive analytics companies top the chart. Medical imaging and artificial intelligence biological firms account for the largest segment in the healthcare industry.
Inception is a free accelerator program for artificial intelligence startups that helps companies grow faster and does not require them to pay equity to join. The platform witnessed an increase of 26% in new memberships in the year 2020.
Robotics has changed the facet of farming in recent years with its revolutionary capabilities. From strawberry picking robots to automatic weed plucking, robots have helped fill the labor shortage in the agriculture industry. As robots are becoming a key part of modern automated farming practices, scientists have found yet another application of robots in this domain — Pollination robots! As the name suggests, these droids will enable the pollination of plant flowers both in farms and in the wild.
All flowering plants need pollination for reproduction. In planets, the male flower parts, called stamens, generate pollen, which gets fertilized by female flower parts, called pistils, to form seeds. The stamen discharges pollen directly onto the pistil in self-pollinating flowers. However, in cross-pollination, pollen movement occurs from one plant to another, which depends on vectors like bees, butterflies, dragonflies, etc. When bees and other insects eat on flowers, pollen sticks to their bodies and is then deposited on the next plant they visit. Cross-pollination is an important part of planet reproduction as they help in enhancing genetic diversity. It also helps in improving the quantity and quality of crops.
Bees are responsible for around 80% of all pollination on the planet. Bees pollinate more than 70% of the top 100 crops, which provide roughly 90% of the world’s nourishment. Sadly, today their lives are in danger. Researchers have noticed that the population of bees is declining due to Colony Collapse Disorder, Varroa mites, use of neonicotinoid pesticides, and loss of habitat. One chemical compound found in pesticides, called Thiamethoxam, is said to prevent queen bumblebees from laying eggs. According to predictions based on a mathematical model, this could lead to the extinction of local wild bee populations. In 2016 alone, the United States reported a loss of 44% of all honeybee colonies. Moreover, seven species of yellow-faced bees in Hawaii are on the verge of extinction.
To solve the impending danger of acute food shortage due to the dwindling number of bees, scientists have turned to robotics to help address such woes and minimize dependency on bees. Thanks to advancements in the deep learning algorithm of artificial intelligence, robots can quickly and accurately identify flowers for pollination.
Arugga AI Farming, an Israel-based company, develops robots that can automatically go down a greenhouse row, leveraging artificial intelligence and cameras to recognize tomato flowers that are ready to be pollinated. The robot features an air nozzle system that sprays a calibrated pulse of air on the selected flowers, ‘shaking’ them to mimic bumblebee buzz pollination. Unlike some other crops, Tomato blossoms pollinate themselves when vibrations shake pollen loose, eliminating the need for cross-pollen transmission between flowers.
Apart from pollination, these pollination robots reduce the risk of disease transmission because the air blast pollinates the flowers without coming into contact with them. Other advantages this technology has over the bumblebee include its capacity to work efficiently under artificial lighting and in extreme hot or cold conditions, both of which are detrimental to the insects’ pollination performance.
This year, Arugga has raised US$4 million in pre-Series A funding. The round was led by Cresson Management, with Biobest Group, Terra Venture Partners, Equicelar, and Smart Agro, among the other investors, to take part.
In 2018, inspired by bees, a team of West Virginia University researchers built BrambleBee, an autonomous robot that can pollinate bramble, blackberry, and raspberry plants, in a greenhouse setting. This robot uses cutting-edge LIDAR mapping and localization techniques, along with additional visual perception, path planning, motion control, and manipulation tools. LIDAR operates similarly to radar, except instead of sending out radio waves, it produces pulses of infrared light (called invisible lasers) and detects how long it takes for them to return after colliding with adjacent objects.
BrambleBee, Image Credit: Gu et al
BrambleBee first obtains up-to-date information on flower cluster locations and pollination readiness by doing an ‘inspection pass’ of the greenhouse. During this, its onboard camera detects adjacent flower clusters. The identified clusters’ positions are subsequently documented on a map of the plant rows. Bramblebee then selects where it will pollinate flowers once this initial assessment step is over. This choice is made by balancing the number of accessible flower clusters that are ready for pollination while reducing the distance driven.
When BrambleBee deems that a flower is ripe for pollination, it will gently stroke the blossom with a tiny 3-D printed brush containing flexible polyurethane bristles on the end of its arm. In this way, pollens are transferred from the anthers to the pistils. BrambleBee robot uses precise motions to maneuver this mechanism, spreading pollen into pistils while avoiding damage to the flowers. The robot even remembers which flowers it has already struck, allowing it to proceed with other plants in the greenhouse.
The above-mentioned examples are not the only way of pollinating crop flowers. For example, pollination might be outsourced to automated drones that carry pollen grains to specific flowers, according to materials scientist Eijiro Miyako of the Japan Advanced Institute of Science and Technology in Nomi. While his initial plan entailed rubbing grains into flowers with a pollen-coated drone, he quickly discovered that the procedure was damaging the blossoms.
Last year, while playing bubbles with his son, Miyako realized a solution to perfect the drone problem. He concluded that his team could use pollen-laden soap bubbles sent from the drone and gently land on the blooms for a more gentle approach. The researchers used this approach to hand-pollinate pear trees in an orchard to evaluate the viability of their pollen-loaded bubbles. According to the researchers, the trees produced almost the same amount of fruit as plants pollinated by manual pollination.
Image Credit: iScience
A start-up from the United States called Dropcopter uses unique pollination delivery technologies and specialized drones with cutting-edge algorithms. This drone is already pollinating apples, almonds, cherries, and pears at a rate of 20 acres per hour per drone. The average pollination cost per acre across the board, according to the company, is around US$300.
Image Credit: Dropcopter
Bees are vital to ecosystems and agricultural pollination, which is why the IUCN (International Union for Conservation of Nature) is urging immediate investment in new research to find methods to reverse this decline. Pollination robots may not replace bees nor restore ecological balance but can certainly address the pollination crisis.
While pollination robots may seem like an avant-garde solution, it is still not economically feasible on a large scale or at least 4-5 years away from commercial release. Furthermore, even the existing models need more fine-tuning to be able to pollinate without harming flowers, enable more cross-pollination, etc. However, the silver lining is that these pollination robots offer something that bees don’t — data. The data gathered while attempting to pollinate plants can be utilized to boost agricultural practices.
New job openings from IT companies have touched a five-year high in India. Top IT firms of India have hired more than 1.21 lakh individuals in the first half of this year. Experts say this development has come after the surge in demand for software and cloud solutions amidst the COVID-19 pandemic.
The pandemic has forced industries to carry out their operations online that resulted in a massive demand for technological solutions to meet the requirements.
In these challenging times, IT giants like TCS and Wipro have witnessed double-digit growth, and they intend to grow further with increased human resources. Industry leaders suggest that IT firms will hire more than 2 lakh people in India by the end of this year.
Vice-chancellor for professional learning at Krea University, Ramkumar Ramamoorthy, said, “With large and mid-sized IT services companies bouncing back to double-digit revenue growth, as well as global captives feverishly expanding their base in India, we are seeing an unprecedented war for talent.”
He further mentioned that the pandemic had accelerated the digital transformation goal of businesses, creating an opening for new-age skills, which has resulted in this massive hiring.
India’s Textile Minister, Piyush Goyal, mentioned in a tweet that the Prime Minister’s Digital India mission has accelerated the country’s digital shift and is likely to stay like this. The market is currently seeking roles in data science, cybersecurity, artificial intelligence, and cloud architecture.
PM @NarendraModi ji vision of Digital India has accelerated our digital shift, & the momentum is here to stay.
Top 10 IT companies in India hire 1.21 lakh people in 6 months till Jun’21 despite COVID-19. This is highest in this period in last 5 years.
Tech giant Accenture mentioned that it would hire more than 34,000 new employees for data analytics, cloud computing, and network security roles. On average, the pay range of jobs in data science is around ₹1.2 lakh per month. The companies also plan to hire 1.1 lakh freshers in 2021 to tackle attrition.
A former IT employee said, “We are seeing multiple technologies such as AI, IoT, robotics, cloud, and 5G coming into the fore. The needs are high in the current context because of the heterogeneity of technologies.”