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CoinDCX becomes India’s First Crypto Unicorn company

CoinDCX becomes India’s First Crypto Unicorn company

Crypto-enables financial service providing firm CoinDCX becomes India’s first crypto unicorn company soon after raising $90 million in its series C funding round led by B Capital Group. This new funding had increased CoinDCX’s market valuation to $1.1 billion. 

Other investors like Coinbase Ventures, Block.one, Jump Capital, and Polychain also participated in the funding round. The company spoke about the plans for its future projects that it says would be revealed soon through its newsletters and blog. 

CoinDCX will also use this fund to expand its workforce to 400 by the end of this year. The co-founder and CEO of CoinDCX, Sumit Gupta, said, “I am pretty sure the industry will be regulated at the right time. We have chosen to put at stake our money and career as we feel this is going to be a very good wealth generation opportunity for people.” 

Read More: Omantel Announces Partnership with Elevatus for Artificial Intelligence Video Assessment

CoinDCX is a Mumbai-based crypto-financial startup founded by Neeraj Khandelwal and Sumit Gupta in the year 2017. The firm specializes in developing cryptocurrency trading applications. The company provides a secure platform with a powerful wallet to enable its users to trade in a seamless, reliable, and effortless manner. 

According to the officials, CoinDCX has more than 3.5 million users, and it plans to increase its user base to 50 million in the coming years. Gupta said that India has a technology-savvy population and can produce more than 100 crypto unicorn startups in a few years, leveraging the Indian talent pool of engineers to drive innovations in the blockchain technology sector. 

CoinDCX also has plans for collaborating with other fintech startups to expand the crypto investor base and work closely with the government of India to introduce regulatory guidelines for crypto investments. 

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Researchers are developing Artificial Intelligence Solution for providing Homework Feedback

Researchers are developing Artificial Intelligence Solution for providing Homework Feedback

A team of researchers from the Worcester Polytechnic Institute (WPI) at Massachusetts is now developing an artificial intelligence solution named ASSISTments for providing homework feedback for students. 

The platform will help teachers to automate the process of sending individual feedback to every student. The researchers have used neural networks that can analyze vast amounts of data to develop this platform over the past three years. 

ASSISTments currently can provide feedback for written mathematical assignments that can be created using its website for free. According to the officials, the platform is being used by more than 500,000 students and 20,000 teachers in over 20 countries across the world. 

Read More: Google Announces Creating Time Crystal Inside its Sycamore Quantum Computer

The unique platform is capable of displaying relevant comments to the teachers that they can leave for the students while assessing their assignments. Natural language processing and machine learning are the key technologies used by the researchers for developing this new feature named ‘dubbed Quick Comments.’ 

Neil Heffernan, the lead researcher of the project, said, “We built ASSISTments more than fifteen years ago as a simple platform to help teachers deliver feedback to their students, and are so proud of its recent growth into new classrooms across the country.” 

He further added that the feature focuses on written-answer mathematics problems as it is not just about correcting the answer but to suggest comments in an informed manner after a thorough analysis of the assignment. 

The research recently received a grant of $8 million from the United States Department of Education, Innovation, and Research. With the new funds, Heffernan firmly believes that they would be able to continue their research works and add new enhanced features to the ASSISTments platform in the future. 

“We’re not good at all types of responses, but we’re very good at when the child gives an answer that’s very good or really poor,” said Heffernan.

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Google Announces Creating Time Crystal Inside its Sycamore Quantum Computer

Google Sycamore quantum computer, qubits, Time Crystals
Image Source: New Scientist

Researchers from Google’s Quantum AI team, in collaboration with physicists at Stanford, Princeton, and other universities, announced using Google’s Sycamore quantum computer to demonstrate a genuine ‘time crystal’ for the first time. The researchers revealed the discovery of “time crystals” in a preprint on the arXiv website titled “Observation of Time-Crystalline Eigenstate Order on a Quantum Processor,” which has yet to be peer-reviewed. 

A time crystal is an object made of a novel phase of matter that moves in a regular, repeating cycle indefinitely and without consuming any energy. Time crystals are stable, yet the atoms that make them up are continually changing, unlike other phases of matter that are in thermal equilibrium. The study co-author and Max Planck Institute for the Physics of Complex Systems director Roderich Moessner, exclaims that this defies the second law of thermodynamics, which states that systems naturally tend to settle in a state known as “maximum entropy.” This entropy is characterized by randomness and a low useful state. 

To put it another way, regular (space) crystals are a collection of molecules or atoms that form a repeating pattern in space. On the other hand, a time crystal is a collection of molecules or atoms that create a regular, repetitive pattern but in ‘time.’ That is, they will sit in one pattern for a while before switching to another and repeating the process. For example, let’s consider an ice cube analogy where an ice cube exists as a solid and melts to become liquid water that can be frozen into ice cubes again. Here the states of water involve a transfer of energy. However, in a time crystal, there will be a change between two configurations back and forth but with no energy usage or energy loss.

Nobel Prize-winning MIT professor Frank Wilczek first proposed time crystals in 2012 as temporal analogs of ordinary space crystals. When realized in a time-independent (energy-conserving) system, time crystals can violate continuous symmetry and discrete-time translation when implemented in a periodically driven (Floquet) system.

According to Quanta Magazine, the time crystal is composed of three main components. First, a row of particles with different magnetic orientations is locked into a combination of low- and high-energy structures. This is referred to as a “many-body localization.” Next is flipping the orientations of those particles that results in creating a mirror version termed as eigenstate order. It’s effectively a secondary many-body localized state. Last but not least, there’s the use of laser light. This enables the states to cycle — from normal to mirrored and back — but without consuming any of the laser’s net energy. The result of this gives us Floquet crystal, which was achieved in 2016. In the said experiment, the researchers then cooled a string of ytterbium ions to their ground state and noticed that the ions could still interact with each other.

Quantum computing has been an asset in performing complex calculations, like drug discovery, climate modeling, financial optimization, or logistics. A couple of years ago, Google’s Sycamore made headlines when Google revealed the quantum computer had achieved quantum advantage (previously known as quantum supremacy). Sycamore could perform calculations in 200 seconds that would take 10,000 years on the fastest supercomputers.

Read More: Microsoft’s Gooseberry Treat For Quantum Computing

What makes quantum computers interesting is instead of the basic manipulation of ones and zeros in conventional binary-based computers, they employ quantum bits or qubits. These qubits also feature a third state known as “superposition,” which can represent a one or a zero simultaneously. Instead of sequentially analyzing a one or a zero, superposition allows two qubits to represent four situations at the same time. Additionally, qubits are capable of entanglement, which is the coupling of two or more qubits. In this case, one qubit’s state cannot be defined separately from the states of the others, allowing for immediate communication. 

Google Sycamore, Image Source: CNet

The qubits in Sycamore are superconducting aluminum strips that Google engineers designed to imitate a particle’s spin, which can point up or down, i.e., one or zero. The Google Quantum AI team used a chip with 20 qubits as the time crystal for the experiment. First, the team introduced destructive interference by adjusting the intensity of the interactions between the qubits. The researchers then used microwaves to agitate the system, causing it to flip between two “many-body localized states.” The change in spins did not absorb or dissipate energy from the microwaves, leaving the system’s disorder, or entropy, intact.

According to the researchers, their experiment shows that their technology has the potential to manufacture time crystals. If this discovery is confirmed, it may have massive implications in the realm of quantum computing.

Google is not the first to experiment on the possibility of time crystal-powered quantum computing. On July 5, the Delft University of Technology in the Netherlands announced creating a Floquet time crystal out of the nuclear spins of carbon atoms in a diamond rather than in a quantum processor. In comparison to Google’s Sycamore quantum processor’s time crystal, the Delft system is more restricted and compact. 

While the Sycamore feat has caught the attention of the scientific community, experts worry that the decoherence in Google’s processor can result in a decay in the quantum states of the qubits. This implies that time crystal oscillations would ultimately die out when the system is hampered by the environment. However, according to the preprint, this issue might be addressed if the CPU becomes more thoroughly isolated.

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SenpAI.GG is helping Gamers to improve their Gameplay using Artificial Intelligence

SenpAI.GG is helping Gamers to improve their Gameplay using Artificial Intelligence

Tech startup SenpAI.GG launches its gaming assistance that is helping gamers around the world to improve their gameplay using artificial intelligence technology. 

Games nowadays are incredibly complicated to understand and crack, so SenpAI.GG has developed a one-of-a-kind platform that will help gamers with the best guidance to perform better. 

The assistant currently has support for various popular games like League of Legends, Valorant, TFT, and Wild Rift. The assistant adheres to all the guidelines and approved APIs of every game before adding new features. 

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The artificial intelligence-powered gaming assistance can generate enemy insights, suggest combination attacks, push notifications of major in-game events, and give tips for better game strategy planning. 

The software is available for free download on windows systems on the official website of SenpAI.GG. Apart from this platform, the company also has developed a voice assistant dedicated to the esports industry. 

SenpAI.GG was founded in Massachusetts by Berk Ozer and Olcay Yilmazcoban in the year 2017. The firm has its headquarters in the Greater Boston area, New England. 

The startup specializes in developing artificial intelligence gaming solutions using patent pending technologies, computer vision, edge computing, and deep learning. It has received a total funding of $2.9 million from ACT Venture Partners in its seed funding round. 

Company officials claim that the platform currently has more than 400,000 active users and has a workforce of eleven engineers. The company plans to expand its support for many other popular PC games in the coming years. 

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Omantel Announces Partnership with Elevatus for Artificial Intelligence Video Assessment

Omantel Announces Partnership with Elevatus for Artificial Intelligence Video Assessment

Oman-based telecommunication company Omantel announces partnership with artificial intelligence solutions developing enterprise Elevatus to enable AI-powered video assessment. 

Omantel plans to use Elevatus’ artificial intelligence video assessment technology to scan huge numbers of internship applications designed for generation Z talents. The technology is capable of assessing over 2300 applications per week. 

Omantel officials said the artificial intelligence solution was able to achieve a conversion rate of more than 80%. Elevatus, in the past, has successfully provided many artificial intelligence and automation solutions to businesses operating in various industries. 

Read More: NASSCOM Announces the Winners of its AI Game Changers Program

The London-based tech company was founded in 2018 by Yara Burgan. “In this digital era, we are at the epicenter of agility and innovation. However, every advanced technology needs an agile team behind it. Omantel’s team of leaders and forward-looking managers seamlessly engaged, adapted, and utilized EVA-SSESS innovatively throughout the entire process to yield lucrative results,” said Burgan. 

She further added that the company believes the success of its technologies depends on how the users engage, interact and utilize them. Elevatus is proud to see new businesses adopt artificial intelligence and automation solutions to connect and interact with users. Omantel witnessed a three times hike in its return on investment and a twelve times faster assessment speed after this strategic partnership. 

The General Manager of Organization Planning at Omantel, Ibtihal Mohammed Al Riyami, said, “Omantel takes pride in being a market leader that continuously strives to adopt new innovative initiatives in the market. We are rolling out unique, intensive, and interactive training programs that are designed to enable new Generation Z talent to participate, contribute, and play a vital role in building the future of Oman.” 
He also mentioned that using Elevatus’ EVA-SSESS platform, they were able to connect and engage with the new generation of users. Omantel is one of the leading telecom companies in Oman that also serves as the primary internet service provider in the country.

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WOMBO Launches Artificial Intelligence Lip Syncing App on Huawei AppGallery

WOMBO Launches Artificial Intelligence Lip Syncing App on Huawei AppGallery

Canadian image manipulation mobile application WOMBO launches its artificial intelligence lip syncing app on Huawei AppGallery to enable Huawei smartphone users to use the application globally. 

The application is capable of creating entertaining lip syncing videos using artificial intelligence technology. With this launch, Huawei users will now be able to create and share customized videos using the WOMBO mobile application. 

The app has more than 10 million downloads on the Google PlayStore and is also available on Apple’s AppStore. WOMBO has become the fastest growing consumer mobile application in Canada. 

Read More: Robot uses Tactile Sign Language to enable Deaf and Blind Communicate

The Chief Executive Officer of WOMBO, Ben Benkhin, said, “Seeing the joy and laughter that we’ve been able to give our users since March has been amazing, and we look forward to working with Huawei as we continue to grow our global footprint.” 

He also mentioned that he is excited to increase the reach of WOMBO by collaborating with Huawei AppGallery. The application can also create deepfakes using its unique artificial intelligence algorithm. 

The parent company of the app, WUMBO Studios, was founded by Akshat Jagga, Angad Arneja, Vivek Bhakta, Paul Pavel, and Ben Benkhin in the year 2020. Soon after the official launch of WOMBO in 2021, its popularity grew exponentially to make it the 32nd most downloaded mobile application in the world. 

“Having already seen the potential of WOMBO, working with Huawei has been great to understand how we can take the joy it brings even further,” said Ben. 
He also thanked Huawei officials for providing tremendous support during the onboarding process. Huawei AppGallery is the world’s third-largest app market. The collaboration would help WOMBO to reach a greater audience as Huawei has a market share of 4% in the smartphone industry.

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Antengene and MindRank Collaborates for developing Difficult-to-Drug Molecular Targets

Antengene and MindRank Collaborates for developing Difficult to Drug Molecular Targets

China-based biopharmaceutical and biotechnology company Antengene announces its collaboration with artificial intelligence drug discovery platform developer MindRank to advance the development of difficult-to-drug molecular targets. 

The collaboration is a long-term strategic partnership that would enable the companies to jointly conduct research and develop small molecule oncology drugs using best-in-class artificial intelligence technologies. Both the companies had collaborated earlier for the development of preclinical stage drug candidates.

With this partnership, Antegene plans to use MindRank’s Molecule Pro and Molecule Dance artificial intelligence platform for discovering and developing the highest quality drug candidates. Antegene has by far developed thirteen clinical and preclinical drug assets. 

Read More: AeroFarms Partners with Nokia to Develop Artificial Intelligence Plant Vision technology

The Founder, Chairman, and CEO of Antegene, Dr. Jay Mei, said, “We are excited about this ground-breaking partnership with MindRank AI, established to accelerate our development of new therapies for difficult-to-drug targets. Antengene has built a pipeline of 13 assets over the past four years through both partnerships and in-house discovery.” 

He further mentioned that he believes this partnership between the two industry leaders will enhance their in-house discovery capabilities and will be able to deliver effective therapeutics to patients across the globe. 

Antegene was founded in Shanghai by Mei in the year 2016 and has received a total funding of $238 million in three rounds from Hillhouse Capital Group, Qiming Venture Partners, Boyu Capital, and many more. The firm specializes in developing and providing anti-cancer treatment to patients in Asia. 

The founder and CEO of MindRank, Zhangming Niu, said, “We are very honored to be a strategic partner of Antengene, an industry-leader with robust R&D capabilities and a management team possessing experience in developing and commercializing some of the world’s best selling oncology drugs.” 

He also added that this synergistic collaboration would enable them to develop more first-in-class oncology drugs for patients across the world.  

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NASSCOM Announces the Winners of its AI Game Changers Program

NASSCOM Announces the Winners of its AI Game Changers Program

The National Association of Software and Service Companies (NASSCOM) announces the winners of its AI Game Changer program at its Xperience AI virtual summit 2021. 

NASSCOM had collaborated with industry leaders like Microsoft and Deloitte to introduce this unique program that would encourage the development of new artificial intelligence technologies to counter modern-day challenges that businesses face in India and promote artificial intelligence adoption in various industries. 

The program launched under the ‘AI for India’ initiative received more than 300 applications from startups involved in various sectors like healthcare, entertainment, telecommunication, life science, and education. 

Read More: Dataiku Raises $400 Million in its Series E funding

The applicants had to submit their use case that was later scrutinized by a committee that was handpicked by NASSCOM. Three aspects were considered while deciding the winners, which include problem solving, solution innovation, and impact achieved. 

President of NASSCOM, Debjani Ghosh, said, “Through the AI Game changers Programme, we look forward to bringing forth some of the most innovative and impactful AI-led ideas to recognize the efforts that will empower India to be a global innovation hub.” 

She further added that she would like to congratulate the winners of the program for developing innovative artificial intelligence solutions that would help the country to compete globally in the field of technology. 

The Information Technology, Electronics and Communications (ITE&C) department of the Telangana government secures the first position for its use-case, ‘Real-time crowd density estimation and monitoring using artificial intelligence.’ 

The President of Microsoft India, Anant Maheshwari, said during the virtual summit, “Cloud-led data and AI have a critical role in solving some of the country’s most vital challenges. The AI Game changers program has successfully created a platform that promotes homegrown AI-based innovation in the country.”

He also mentioned that he is amazed to see the mature and scalable artificial intelligence solutions developed by the Indian technology industry.

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Google Launches Two New Datasets For Building Superior Conversational AI Models

Google releases new datasets

Google launches TimeDial and Disfl-QA datasets for making NLP models more natural. As natural conversations include interruptions and temporal relationships, it becomes complex for NLP models to engage in an interactive conversation. 

While interruptions are interjections, repetitions, restarts, and corrections, the temporal relationships include relationships between events — whether an event precedes or follows another.

According to Google, natural language processing models struggle to deliver superior results when confronted with interruptions and temporal relationships. Over the years, the development of NLP models to overcome this challenge has lacked due to several reasons. One of the most prominent problems is the absence of datasets that represents natural conversations.

Read more: IBM,‌ ‌MIT,‌ ‌and‌ ‌Harvard‌ ‌release‌ Common‌ ‌Sense‌ ‌AI ‌Dataset‌ ‌at‌ ‌ICML‌ 2021‌

To address the pressing challenge in Conversational AI, developers and researchers can leverage the newly released datasets — TimeDial and Disfl-QA — by Google. While TimeDial is for temporal commonsense reasoning in dialogue, Disfl-QA focuses on contextual disfluencies.

With an annotated test set of over 1.1k dialogs, TimeDial will allow you to test language models’ capabilities for temporal reasoning. Even large language models like GPT-3 struggle with temporal reasoning, making it difficult to accomplish better NLP models. 

“Disfl-QA is the first dataset containing contextual disfluencies in an information seeking setting, namely question answering over Wikipedia passages, with ~12k human annotated disfluent questions. These benchmark datasets are the first of their kind and show a significant gap between human performance and current state of the art NLP models,” mentioned Google’s researchers in a blog post.

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AeroFarms Partners with Nokia to Develop Artificial Intelligence Plant Vision technology

AeroFarms Partners with Nokia to Develop Artificial Intelligence Plant Vision technology

Urban cleantech company AeroFarms announces that it has partnered with Nokia to develop next-generation artificial intelligence-powered plant vision technology. 

With this partnership, the companies plan to build artificial intelligence-enabled technology that would increase plant yield using wireless networking systems, drones, and analytics solutions. 

Nokia will provide its autonomous drone, private wireless network, and orchestration technologies to integrate it with AeroFarms’ machine vision agriculture-focused data platform. 

Read More: Philips to invest ₹300 crore in India and Hire 1500 new Employees

This collaboration has enabled AeroFarms to develop groundbreaking new technology that would be able to produce the highest quality plants throughout the year. The companies now aim to deliver their services in various locations like Virginia, UAE, Abu Dhabi, and Danville. 

Vice President of Integrated Solutions and Experience Research Lab at Nokia, Thierry Klein, said, “Nokia Bell Labs is driven to solve hard and impactful problems, and together with AeroFarms, we are building the ability to see and identify plant interactions at unprecedented levels. The fundamental technologies of this partnership are our strength, and vertical farming is just the beginning.” 

AeroFarms is a New Jersey-based company founded by David Rosenberg, Ed Harwood, and Marc Oshima in the year 2004. The firm specializes in developing artificial intelligence-powered agricultural solutions to help urban farmers grow better crops and produce a higher yield. 

AeroFarms has received a total funding of $238 million from investors like Abu Dhabi Investment Office, GSR Ventures, Ingka Group, and Meraas. 

Chief Executive Officer of AeroFarms, David Rosenberg, said, “With Nokia Bell Labs, we have developed the next-generation system that can image every plant every day in a cost-effective way at scale. This level of detailed imaging and insights helps us be better farmers by monitoring our plant biology dynamically and allowing us to course-correct as needed to ensure the highest level of quality all year round.” 

He further added that they are committed to developing technologies that would solve modern-day farming challenges. 

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