Nvidia‘s CEO, Jensen Huang, introduced a $100m worth supercomputer, Cambridge-1, to support healthcare research in the UK. The supercomputer will be used for various biology research in the UK, but the benefits can be offered globally.
Cambridge-I will run at the facility managed by Kao Data Ltd, as measured by Linpack by solving a series of mathematical equations. The supercomputer can deliver eight petaflops (1 petaflop = quadrillion operations per second) and 400 petaflops of AI performance. It is based on Nvidia’s latest SuperPod architecture, packed with 80 Nvidia DGX A100 systems integrated by NVIDIA A100 Tensor Core GPUs, Bluefield-2 DPUs, and NVIDIA HDR InfiniBand networking.
The supercomputer will perform research in the healthcare field in less than weeks which would have required months or years. Initially, the studies will be conducted by AstraZeneca, GSK, King’s College London, Oxford Nanopore, and Guy’s and St Thomas’ NHS Foundation Trust. Later the facility will be available for more projects in healthcare, biology, biomedical, and image sciences to identify and cure various diseases at split speed.
In the event conducted on Wednesday, a few plans that the machine will be performing were discussed by corresponding partners. AstraZeneca revealed that they would be using the supercomputer to train their model MegaMolBART to study the chemical structures of new drugs and develop their machine learning algorithms to analyze the scans of tissue samples.
Kings colleges London, Guy’s, and St.Thomas NHS Foundation will be building artificial intelligence models trained with tens of thousands of MRI samples among various age groups and brain conditions to develop images of synthetic brains. At the same time, Oxford Nanopro will be utilizing the resources to digitize DNA into billion character sequences.
At Mobile World Congress in Barcelona, Nvidia announced that it would be working with Google Cloud to set up an AI-on-5G Innovation Lab. This will help enterprises, smart cities, and factories develop and deploy artificial intelligence-based solutions.
With the innovation lab, both the AI giants will be driving AI applications with a 5G network in cloud infrastructure. They will also be developing, testing, and adopting new solutions for AI software partners.
The lab came to light two months after Nvidia announced its working with Google Cloud and other partners to drive AI applications via 5G networks. As part of the contract, Google will be aiding with its service-centric Anthos application platform and Nvidia’s GPU-accelerated server technology, assisting with containerized application development with managed Kubernetes to the network edge. The Anthos application will also be facilitating the development and management of outcome-based application policies, which are crucial in AI-on-5G.
Ronnie Vasishta senior vice president of telecom for Nvidia said that the company will be undergoing a process where enterprise edge and AI platforms will be applied on cloud-native infrastructure, also they will be orchestrated and managed in the same way as the cloud.
The AI-on-5G platform will build the foundation for both 5G and edge AI computing using the Nvidia Aerial software development kit and a card that converges both GPUs and DPUs called the Nvidia Bluefield-2 A100. Nvidia also announced that the next generation Aerial A100 AI-on-5G computing platform would incorporate 16 Arm-based CPU cores into the Bluefield-3 A100 to develop a robust converged card that delivers enterprise edge AI applications over cloud-native 5G vRAN efficiently.
The Pentagon recently announced that it had canceled a $10 billion dollar contract with Microsoft for the Joint Enterprise Defence Infrastructure (JEDI) cloud contract.
The deal, which has been now called of, was made between the government enterprise and Microsoft in October 2019. Officials said that the decision was made to introduce better cloud platforms to the defense system according to their latest requirements.
The press release mentioned that the advancement of technology and changing needs of the organization has resulted in this scrubbing of the contract as the mentioned services are no longer the requirement of the defense department.
The government now wants to replace JEDI with a new deal that would meet their needs. The current CIO of the Department of Defence, John Sherman, said that the department envisioned JEDI back in 2017 with noble intent but was developed at a time when their cloud systems were not polished.
A Microsoft official said that they understand and respect the decision of the DoD. “Unfortunately, the contract award was not based on the merits of the proposals and instead was the result of external influence that has no place in government procurement.”
The tech giant will continue to support the defense department to provide the best safety to army personnel with their cutting-edge technology at minimum cost. The Pentagon announced the successor of its old contract in its press release.
A new multi-billion dollar cloud contract, Joint Warfare Cloud Capability (JWCC), has been launched. The government body initially plans to make awards to the vendors by April 2022.
Sherman said, “We’re now in 2021, not in 2018, and the factors surrounding all this have evolved, and so must we in our approach.” He further mentioned that they require support to scale up their artificial intelligence and data accelerator initiative.
A humanoid robot is a unique robot that has a body shape built to mimic the human figure. The technology can be used for the research of different kinds, including bipedal locomotion or to automate several tasks performed by humans across various sectors. Government and private enterprises are increasingly turning to advanced robots to save time, human resources, and cost. More than 3,412 new industrial robots were installed in India in the year 2017, which is an increase of 30% over the 2,626 units that were installed in 2016, said the International Federation of Robotics (IFR) in a report published in January 2019. While the automotive industry has seen the highest adoption, the demand for robots is growing in several other sectors as well. Satyanarayana P, director of LFP, visual products and robots, Epson India, mentioned that there is still a long way to go. On the other hand, the awareness is increasing, and the humanoid robot market is gradually opening up in the country. Here we present to you our list of the top 10 latest humanoid robots in India.
1. Ajit Humanoid Robot
Ajit 1.0 has been developed in KLE Technological Institute by final year students of the automation and robotics department. The robot is capable of performing basic gestures such as ‘namaste’ and handshake as a response to related voice inputs. Ajit also has autonomous navigation along with obstacle avoidance technology and text-to-speech interaction abilities. The next generation of the robot, Ajit 2.0 was unveiled by KLE Technological Institute in 2019, which also has humanoid legs for locomotion along with enhanced performance and artificial intelligence. Developers claim that this next-generation robot is capable of helping humans in day-to-day tasks.
2. Sandy Android-powered Humanoid Robot
Sandy is a famous humanoid robot developed by i-Brain Robotics in India. It is the world’s first artificial intelligence-enabled human-sized humanoid robot. With a five feet stature and a cosmic network of sensory circuits, the creation of Sandy is made to precisely mimic human reactions. It comes with a ‘true emotion’ sensory unit and possesses self-learning capability because of the neural learning process. The advanced robot can communicate in diverse dialects using an artificial intelligence system. These high-end abilities make Sandy one of the best and most intellectual companions that one would want. Sandy is the first humanoid robot powered by Android, which can cope up with social interactions and can seamlessly recognize faces because of its unique neural networks. The robot can also greet people in the day and can go for interactions with names and features. The robot has been developed to aid operations for many industries, including healthcare, hospitality, and banking.
3. Manav
Manav is the first 3D printed humanoid robot in India, designed by A-SET Training & Research Institutes New Delhi. The robot was unveiled at the IIT Mumbai Tech fest by the programmer of the robot, Diwakar Vaish. The entire structure of Manav is made with 3D-printed plastic. The robot is two feet tall and weighs around two kgs. It comes with two cameras and two headphones installed in its eyes and ears, respectively. Manav has the capability to perform various motion intensive tasks like push-ups and handstands. The humanoid robot is considerably more affordable compared to other commercially available options as it is priced in between ₹1.5 to ₹2.5 lakhs.
Artificial intelligence and machine learning start-up H-Bots Robotics, based in Hyderabad, developed a new police robot to support the implementation of law, order, and traffic. It is made with components developed solely in India. Recently, the Chief Minister of Kerala, Pinarayi Vijayan, inducted RoboCop at the state’s police headquarters. The robot was given the rank of Sub-inspector and will perform tasks at the police headquarters’ front office. The human-sized robot has cameras and an array of sensors, such as proximity, ultrasonic, and temperature sensors. RoboCop is designed to protect and secure malls, offices, airports, signal stations, and other public areas, which can be used autonomously to ensure safety. Additionally, the advanced robot also has the ability to diffuse bombs.
5. Kempa
Kempa is a new artificial intelligence-powered humanoid robot developed by a Bengaluru-based enterprise, Sirena Technologies. The robot will be deployed at Bengaluru’s Kempegowda International airport, where it will greet and guide travelers in English and Kannada regarding tourist places in the city. Prior to its official launch, the humanoid robot Kempa is being programmed to assist the passengers by providing all the essential information about their journey in a scrupulous manner. Priyank Kharge, Innovation and Technology Minister of Karnataka, unveiled this robot through a video shared on Twitter. The video featured Kempa introducing itself as “KEMPA, is an advanced humanoid completely designed and manufactured in Bengaluru. I am designed for deployment at the Kempegowda International Airport, where I can assist you with flight-related queries, suggest places to visit in Karnataka, or even entertain you in a conversation with artificial intelligence over a cup of coffee.”
6. INDRO
INDRO is an autonomous robot that was built in a house with widely available and low-cost materials like plastic, aluminum, wood, and cardboard. The robot is developed to carry out certain everyday tasks such as education, entertainment, and a few household work. The robot has the ability to carry around 150 kilograms of payload on its platform under the knee in case it is required for an event. An artificial intelligence-powered application is being developed for mobile and computers that can be used to control INDRO remotely. The robot is capable of performing every action like a human above knee level using its 31 motors and 29 axes. INDRO was built using minimalistic equipment like a hammer, screwdriver, hand cutting saw, and drill machine.
7. Interactive Robotic Assistant (IRA)
Intelligent Robotic Assistant (IRA) is an interactive humanoid robot that can answer 4,000 questions through its artificial intelligence-powered voice-based navigation. The advanced robot was developed by HDFC bank and is currently deployed in many branches of the bank in multiple cities including, Mumbai, Bengaluru, and Kochi. HDFC bank collaborated with robotics companies like Senseforth Technologies and Inverto Makerspaces to develop this high-end iterative machine. Along with IRA, the bank had launched its virtual assistance ‘EVA‘ that has solved more than 65 lakhs queries of customers till date, according to HDFC officials. The robot has a 7.9-inch touch display for visual interaction and has an inbuilt indoor GPS-based navigation system with ultrasonic sensors to help it move inside the building.
8. Mitra and Candi
Mitra and Candi are humanoid robots developed by a Bengaluru-based company, Inverto Robotics. Candi is a smaller version of Mitra that is capable of interacting with customers using artificial intelligence. Mitra is currently deployed in Canara Bank’s head office in Bengaluru, and Candi is operating at the MG road branch of the bank. Mitra is a 4.5 feet tall robot that mainly greets the customers in Kannada and helps them navigate inside the building, whereas Candi can answer more than 250 pre-loaded questions in English. According to bank officials, Mitra costs nearly three lakhs, and Candi is priced at ten lakhs. Mitra was seen greeting Ivanka Trump, senior adviser of the U.S. president and our Prime Minister, in an event held in 2017. The latest version of the robot, Mitra 3, comes with an enhanced camera, display, and conversational skills to make it blend with humans seamlessly.
9. RADA
RADA is an artificial intelligence-powered humanoid robot developed by Vistara Airlines in India. The main purpose of this development is to assist ground staff in delivering a better customer experience. RADA was developed with the help of the TATA innovation lab under Vistara’s innovation initiative. The robot can scan the boarding passes of the travelers and provide information regarding their travel. The famous robot comes with three cameras and a rotatable body developed with components manufactured in India. RADA is now deployed in Vistara Airlines’ lounge at Terminal 3 of Indira Gandhi International Airport, Delhi. The company assured that the artificial intelligence-powered robot will be improved over time as they gather more data to fine-tune and increase RADA’s capabilities.
10. DAKSH
Daksh is a famous remotely operated vehicle (ROV) robot developed by the Defence Research and Development Organisation (DRDO) for the Indian Armed Force. This highly advanced robot comes with a built-in shotgun and has the capability to identify Improvised Explosive Devices (IEDs) and diffuse them using its radio frequency shield. The aim behind the development of this robot is to reduce human casualties during war or anti-terrorist operations. DAKSH has been jointly developed by TATA motors, Bharat Electronics, and engineers of DRDO. The robot can be controlled by wireless technology as well as with a fiber optic communication system. DAKSH is capable of working for three consecutive days in one single charge. Its wheels have been specially engineered to climb stairs and run on diversified terrains.
11. Rashmi Robot
Rashmi is the first high-tech humanoid robot that can speak Hindi. Rashmi robot was unveiled on August 1, 2018, two years after its development began. Ranjit Shrivastava, a programmer from Ranchi, India, developed this one-of-a-kind humanoid robot as an Indian version of Sophia. According to Srivastava, this is India’s first lip-synching robot that employs language interpretation (LI), artificial intelligence (AI), visual data, and facial recognition technologies to mimic humans. Ranjit worked alone, without the assistance of technical staff or a research lab, to develop Rashmi. Reports suggest that Rashmi was built over nearly two years at the cost of around Rs 50,000. Ranjit said that Rashmi works using a specifically constructed software and language interpretation system he created. Additionally, Rashmi also hosted an “Ask Rashmi” feature for RED FM, where it answered listener questions on the air. The robot can move its neck in six axes, produce facial expressions, and also display 83 facial expressions. Moreover, the Indian Space Research Organization (Isro) approached the robot’s inventor about employing it in unmanned flights for India’s first human space mission, Gaganyaan, scheduled for 2022.
Facebook AI open-sources two new datasets to help developers build more sophisticated conversational AI systems. The new datasets are targeted toward making the AI system accessible to non-English speaking communities too. Conversational AI systems use current deep neural models trained on massive data to understand complicated requests in English. Whereas the training data available in less widely spoken languages are very limited. Facebook AI claims that their method can overcome the limitation by using 10 times less training data to develop conversational AI that can perform complex tasks.
Classic NLU models take a straightforward approach to parsing any question. For example, when the model is given the command of “Will it rain in Bangalore?” It initially matches the primary intent of “GET_WEATHER” to the set predefined intent labels and then identifies the required slots for that intent, here it tags Bangalore as the LOCATION slot. More complex commands require a much more sophisticated approach, and models should possess large amounts of domain-specific labeled training examples for every task.
“We enhance NLU models to support a more diverse set of domains without having to rely on manually annotated training data,” mentioned Facebook AI in their blog. They also added that their method could generate task-oriented semantic parsers for new domains with 25 training samples per intent or slot label. Initially, pretrained transformer models, such as BART are employed. These models are not compatible for fine-tuning with few training samples. Hence, these models are trained with meta-learning to improve generalization, making it easier to fine-tune the target domains with little training data.
To improve the model accuracy even with low resources, Facebook implements a technique called low-rank adaptive label smoothing (LORAS) to exploit the latent structure in the label space of the NLU task. To achieve similar performance as high resources, meta-learning and LORAS techniques are implemented on TOPv2a, which is a new multi-domain NLU dataset with 8 domains and over 180,000 annotated samples. Scaling NLU models to new languages are tricky and time-consuming, as it typically involves building large annotated data sets.
To simplify this process, Facebook employed multilingual NLU models to transfer their learnings from large data languages to other languages with less data while using pretrained multilingual Transformer models, such as XLM-R, mBART, CRISS, and MARGE, as the building blocks to the NLU model.
From the experiments conducted by Facebook, the shared multilingual NLU model for multiple languages shows significant performance improvement compared with the per-language model, enabling faster language scale-up. Through machine translation, other fields such as translate-align data augmentation and proposed a distant supervision technique were also explored to build models that generalize well without using any training data in the target language.
According to the blog, their zero-shot models, on average, achieve an error rate that approaches their best in-language NLU models. To train models in non-English, Facebook released the MTOP dataset, a multilingual task-oriented parsing data set with 100,000 utterances across 6 languages, 11 domains, and 117 intent types.
The introduction of the new datasets paves the way for other researchers and developers worldwide to build conversational AI systems that aren’t restricted by languages. Facebook’s AI Chief Scientist, Yann LeCun, noted that the future of AI research is in creating more intelligent generalist models that can acquire new skills across different tasks, domains, and languages without massive amounts of labeled data. This is more significant in conversational AI, where the primary job of the systems is to understand all types of users and serve all kinds of needs.
Facebook also mentioned in the blog that it has long-term commitments to building similar systems as the world is too varied and diverse to be understood by machines that were trained only on manually curated and labeled examples. Technical innovations, such as new model architectures, are only one part of ensuring that AI systems are fair. Hence, Facebook AI has committed to developing AI responsibly, which also requires developing new ways to measure fairness, new technical toolkits, and ongoing, open dialogue with outside experts, policymakers, and others.
Data centers in India are growing at a rapid pace due to the increasing demand for digital products and services. According to the latest report by Statista, the average consumption in 2020 per user per month in India was 13.4 GB, up from 0.8 GB in 2015. With 13.8 GB, India has the highest consumption of data globally. And as per another report by Ericsson, India will continue to witness more data consumption, which will touch 25 GB per month in 2025. In addition, internet penetration in India is growing above 45 percent since 2019, adding millions of users every year. The proliferation of the internet has made India a hot spot for data centers.
While the rising user base is crucial for data centers in India, the central government is another driving force for upcoming data center projects in India. The government of India has mandated several social media and fintech foreign companies to keep Indian’s data in the country for privacy-related concerns. According to Synergy Research Group, the data center business in the Indian market is expected to grow at a 12 percent compound annual growth rate (CAGR) from 2019 to 2024.
Here is the list of top data center projects in India in 2021:
1. NTT’s Data Centers
NTT Communications is a leading provider of information and communications technology (ICT) solutions within NTT Group, ranking in the top 100 of the Fortune Global 500. The company provides services and solutions to corporate clients globally, present in over 70 countries with a network that spans over 190 countries worldwide. NTT has five data centers in various parts of India, such as Mumbai, Bengaluru, and Noida.
Mumbai
The data center operations are based on ITIL, a comprehensive guideline for IT systems management, and various international standards, including ISO 27001, ISO 9001, ISO 20000-1, TIA942 Tier 3, PCI DSS, and Cisco certification. Mumbai 6 Data Center provides flexible and secure operational services, including plentiful managed services and remote hands services by on-site staff.
Bengaluru
Bengaluru is the ‘Silicon Valley of India,’ and demand for data center services is rapidly growing due to business expansion of both domestic and international IT, manufacturing, and logistics companies. Bengaluru data center holds the largest scale server room area in the city. The server room is 4,600 m 2 providing a flexible and scalable response to demands for system expansion. We provide highly reliable services with fully redundant power, air-conditioning and communications facilities, and robust security systems.
Noida
Noida data center is a large-scale purpose-built data center with a total building area of 48,000 ft2. To ensure the highest power uptime, “express feeders” have been brought to the facility at high voltage levels from nearby substations.
The company in a recent announcement mentioned that it plans to invest $2 million over the next 3 years to expand its data center up to 2.5 million ft2, along with an investment of $400 million for solar projects. NTTaims to build six new data centers in various cities of the country like Chennai, Delhi, Mumbai, and Navi Mumbai. A 38MW upcoming data center facility is being planned to be built in Mumbai followed by a 70MW facility in Noida.
Net4India is India’s largest Web hosting company, with 10 data centers in India covering approximately 75,000 ft2 of IDC space across the country. The data centers offer a range of hosting capabilities-from basic Web hosting and server co-location services to second-generation hosting like Web, application hosting, and managed server facility, which can provide increased reliability and faster development of e-business solutions. Net4India currently has data centers in Delhi, Mumbai, Bangalore, Hyderabad, Pune, and Chennai. The company has certified administrators and professionals to manage Internet systems for peak performance days, seven days a week. Net4India’s facilities are custom-designed with the broadest range of physical security features, 24x7x365 monitoring, infrastructure-like climate control, backup power, and redundant subsystems.
3. Adani Data Center Park
Indian multinational corporation Adani Enterprises had recently announced its plan to build a new data center and business park in Visakhapatnam, India. The company has collaborated with a United States-based enterprise EdgeConneX to develop data centers in India. The joint venture of Adani Group, named AdaniConneX, will operate a data center in Vizag and will develop 1GW of data center capacity over the next ten years. These data centers will be set up in the Navi Mumbai, Chennai, Noida, and Hyderabad markets as well. In addition to full-scale data centers, AdaniConneX will also build a portfolio of Edge data centers strategically located across the country to support the need for more proximate capacity. These Edge sites are designed and planned to scale with demand and become full-scale data center campuses quickly. This pan-Indian platform of hyper-scale and hyper-local data centers will largely be powered by renewable energy.
4. Nxtra Data
Bharti Airtel’s data center subsidiary Nxtra Data Limited recently announced that it plans to set up two new data centers in Mumbai and Pune. The company already has two large data centers in Maharashtra, along with Edge data centers across Mumbai, Thane, Navi Mumbai, Pune, Kolhapur, and Nagpur, has signed a memorandum of understanding with the government of Maharashtra for the new project. The company received an investment of $235 from Carlyle Group million for a 25% stake in Nxtra at a post-money valuation of $1.2 billion.
Recently Nxtra inaugurated its all-new hyper-scale data center with a maximum capacity of 38MW in Chennai. The data center is built upon a massive area of 2.70 lakh square feet and is integrated with Airtel’s submarine cable network. The integration will ensure that the data center provides a highly secure end-to-end connectivity to users. Nxtra also announced its plans to invest over ₹5000 crores by 2025 to expand its data centers’ capacity to 400MW. The company will set up hyper-scale data centers in multiple metro cities across India in the coming years. Nxtra aims to source over 50% of required energy from renewable sources for its data centers as part of Airtel’s overall emission reduction targets.
5. Amazon Web Services
Amazon Web Services provides a highly dependable, scalable, and low-cost infrastructure platform in the cloud that powers thousands of enterprises in more than 190 countries around the world. The company has data centers located in the U.S., Europe, Brazil, Singapore, Japan, Australia, and India. AWS recently announced
its plan to launch a new data center in Hyderabad, which will be an alternative to the existing data center located in Mumbai, India. The service provided by the company has the following benefits:
Lower Cost
Amazon Web Services offers low, pay-as-you-go pricing with no up-front expenses or long-run commitments. With the efficiencies of their scale and expertise, they have been able to lower their prices on 15 different occasions over the past years.
Instant Elasticity and Agility
AWS also provides a massive global cloud infrastructure that enables users to innovate, iterate quickly, and experiment. Rather than waiting for weeks or months for hardware, users can instantly deploy new apps, scale up as their workload grows, and scale down according to demand.
Open and Flexible
AWS is a language and operating system agnostic platform. Users choose the development platform or programming model that makes the most sense for their business. Customers can choose which services they use, one or several, and choose how to use them. This flexibility allows users to focus on innovation, not infrastructure.
Security
AWS is a secure and durable technology platform with industry-recognized certifications and audits like PCI DSS Level 1, HIPAA, ISO 27001, FISMA Moderate, FedRAMP, and SOC 1, and SOC 2 audit reports. Their data centers have multiple layers of operational and physical security to ensure the integrity and safety of user data.
6. NPCI Data Center
The National Payment Corporation of India (NPCI), the organization that controls the operation of retail payments and settlement systems in India, recently announced its plans to set up its own smart data center in Hyderabad at an investment of ₹500 crores. The datacenter will have a Power Usage Effectiveness (PUE) of 1.59 with high availability of power directly from a 33KV grid. The company has hired L&T as its turnkey contractor for building the smart data center. The data center is located in Narsingi village in Ranga Reddy district. Hyderabad will become one of the major hubs for processing payments with a value of nearly ₹15 lakh crore every month and transactions of about 14,000 million per month after the data center gets operational.
7. Reliance Data Center
Reliance Data Center is one of the leading providers of outsourced data centers in India for organizations with mission-critical IT operations. The company currently has nine data centers in various parts of India. These centers are located in Mumbai, Chennai, Bangalore, and Hyderabad. Every data center is built on proven world information technology and facility platforms and expertise that is recognized across the region. With such world-class infrastructure and services, it is no wonder that the company has more than seven hundred large, medium and small enterprise customers. These customers use many services provided by the enterprise like Co-location, Storage and Backup, Managed hosting, Network connectivity, Application hosting, and Management Services. Reliance’s customer list consists of companies from fortune 1000 organizations, government establishments, banking and financial institutions, Media companies, and educational institutions. The company has also partnered with Microsoft to build data centers in India over a span of ten years. The first two upcoming data centers will be built in Gujarat and Maharashtra, each to have a 7.5MW capacity.
8. TCS Data Centers
TCS offers comprehensive data center solutions, including transformation and system management, the building of secure and energy-efficient infrastructure environments, and hosting and co-location services. Their offerings help re-engineer user data center infrastructure and align its capacity with user’s business outcomes. TCS has leveraged its contextual knowledge of the customers’ business and information technology systems to create personalized offerings that meet their unique requirements. This is underpinned by TCS’s investments in artificial intelligence-powered automation, embodied by ignio, a leading cognitive automation solution for the enterprise.
9. CtrlS Data Centers
CtrlS is a data center company in India that has its headquarters in Hyderabad. The company provides services like data center co-location, Internet bandwidth, DC build and consulting, disaster recovery services, cloud security services, and management services. CtrlS have its data centers located in Hyderabad, Bangalore, Mumbai, and Noida. The company received the CIO Choice Award – Public Cloud Services for Large Enterprises in 2014.
10. ESDS Data Centers
ESDS began its operations from Nashik, Maharashtra in 2005 and currently has its footprint in nineteen countries across APAC, the Middle East, Europe, Africa, and South America. ESDS acts as a catalyst for digital transformation in the modern outcome-based economy by allowing organizations to embrace Advanced Technologies. The company’s data center is Uptime certified (tier three) that provides a highly secure, top-notch infrastructure, including the latest biometric authentication technology and video surveillance. The data centers are built to eliminate every single failure point by using multiple layers of redundancy in power systems, suppression, and fire detection. All the systems are monitored by the IDC control center 24x7x365.
11. Web Werks Data Center
Web Werks Prabhadevi Data Center is located in Mumbai, Maharashtra, India. The data center is 3229 ft2. There is a total of 2690.98 square feet in raised floor space for co-location. It has access to 0.30 MW of power. The location is certified by HIPAA, PCI-DSS, ISO 22301, ISO 27001, and ISO 90001. The company reaches out to the customers from their Mumbai data center by providing web hosting services that include Colocation Services, VPS Hosting, Cloud Platform, and Bare-Metal Dedicated Servers. The enterprise has hired highly skilled experts and support teams, who are always ready to serve the customers and manage their unique needs.
12. Google Cloud Data Center
Google Cloud currently has one data center in India which is located in Mumbai. The company announced the launch of its Mumbai region facility in 2017, and since then has been successfully providing services to reduce latency up to 90% for users in areas like Chennai, Delhi, Hyderabad, and Mumbai. The tech giant recently announced that it plans to invest $10 billion over the next five years. Google plans to build new data centers in Delhi as a part of the ‘Google for India Digitization’ initiative.
13. L&T Data Center
Larsen & Toubro announced its plans to build a new data center in India. The company has recently signed a memorandum of understanding with the Tamil Nadu government to build its new data center in Kanchipuram. The latest data center will be built over the next five years in multiple phases and will have a maximum capacity of 90MW. The project will generate over one thousand employment opportunities, both direct and indirect. The L&T data center will provide various multi-cloud managed services, including transformation integration, cyber security, application integration, and end-to-end data center services. The government has promised L&T to provide an uninterrupted electricity supply to the data center to maximize its operational capabilities which would benefit the society and economy of Tamil Nadu.
Google AI introduced machine learning-based systems to quickly and efficiently train game-playing agents, enabling developers to find bugs swiftly. This is done by combining a high-level semantic API (Application Programming Interface) with an interactive training flow that allows the training of helpful ML policies for video game testing.
Traditional video game testing involves playing the game for a long time to detect bugs, and ML systems can “just play the game” at scale. This was done by employing game-testing agents, which could effectively accomplish tasks of a few minutes rather than having a system that can play end-to-end. This enables the developers to test large stretches of gameplay by combining ML policies with a small amount of simple scripting.
The tricky part with employing ML in game development is bridging the gap between the simulation-centric world and the data-centric world. To bring them together, developers are provided with an idiomatic, game-developer friendly API, which lets them describe the semantic action and the game from the player’s point of view in the developer language itself.
To translate the simulation into data, the API has to be converted into neural networks. The API is designed to adapt to the specific game being developed, the specific combination of API building blocks incorporated by the game developer lets the system choose the network architecture.
Once the neural network architecture is generated, the network needs to be trained to play the game using learning algorithms. Rather than using the traditional reinforcement learning method, Google used imitation learning (IL) inspired by the DAgger algorithm, which trains the ML policies by observing experts play the game. Google has also released an open-source library that demonstrates a functional application of these techniques.
Microsoft’s research project Alexandira can parse documents with unsupervised machine learning. It can scale over a billion records to create templates from both structured and unstructured data.
This project was launched in 2014 along with the Cambridge research division, with an intent to construct an entire knowledge base from a set of documents automatically. Alexandria’s technology powers the recently announced Microsoft Viva Topics, which automatically organizes large amounts of data in enterprises. The Alexandria team identifies topics, metadata and employs AI to parse the content of documents in datasets.
Alexander initially runs a query engine for the required document with its keyphrases or title. The query engine searches millions of records, emails, and ad contexts that relate to the document’s title to extract snippets. All these collected snippets are parsed using the probabilistic phraser, which identifies the parts of text snippets that correspond to specific property values. The model identifies a set of patterns, template such as project {name} will be released on {date}, then matches the template to text, determining which parts of the text correspond with specific property value for further linkage.
In linking, all the duplicate or overlapping entities are identified and united using a clustering process to parse an unsupervised document. According to Alexandria’s lead John Winn, Alexandria merges hundreds or thousands of items to create entries along with a detailed description of the extracted entity.
Alexandria’s program can also help with human-made errors, like incorrect entries or misplacement of information. During the linking process, the model can even analyze knowledge from other sources where it wasn’t originally mined. Irrespective of the source, all the knowledge is linked together to provide a single unified knowledge base. During this cross-checking process, the human entity errors can be fished out and corrected.
In the coming years, Alexandria is focussing on creating a tailored schema to meet the needs of each organization that would allow employees to find all events of a specific type along with the place and date of their occurrence. The project team would also be working towards developing a knowledge base that understands what a user is trying to achieve and automatically provides relevant information to help them achieve it.
Israel recently used a new drone system for hunting down and blitz Hamas terrorists. This unique system does not require any human intervention as the drones are connected to each other using artificial intelligence technology. The drones can cover vast distances and keep operating even if it loses some units.
Hamas began firing rockets into Israel after protests by Palestinians in May, prompting an eleven-day conflict between the two groups, which resulted in the death of more than two hundred civilians in Gaza and eleven reported deaths in Israel.
United Nations Institute for Disarmament Research’s Arthur Holland said, “if confirmed, they are certainly a notch up in the significant growth of autonomy and machine-to-machine collaboration in warfare.”
In recent years, the Israeli military has been working on developing an artificial intelligence system that enables drones to work together without the need for a human operator.
The concept of the drone swarm is that the flying machines can make decisions by themselves using artificial intelligence, which drastically reduces strategic decision making time.
This machine learning technology used data from various sources like satellites, aerial vehicles, intel collected from the ground, as well as from other reconnaissance drones.
Unit 8200 of the Israel Defence Forces Intelligence Corps has developed algorithms using human intelligence, signal, and geographical data to identify these strategic strike points.
The Israeli army has been utilizing artificial intelligence and supercomputers to identify locations of Hamas’ terror activities and plan airstrikes to eliminate any strategic advantage.
The IDF is yet to confirm any specifics of the autonomous swarm attack on Hamas targets. Many other countries, including the United States, Russia, the United Kingdom, and China, have been trying to develop similar systems.
Telangana Information Technology Association (TITA)’s Digiton is launching an internship programme starting from July 12. The ones that clear the course will get a certificate from the University of Texas at Dallas (UTD), US.
Telangana government declared last year as the year of artificial intelligence and numerous job opportunities in the IT sector. The area of artificial intelligence has been growing ever since in the state. Digiton has launched artificial intelligence training to create employment for the State’s youth in AI and machine learning. The programmes have received over 50,000 applications for the courses from which more than 2,000 individuals have imparted training in AI as part of the Telangana government’s ‘Year of the AI’ initiative.
Digiton and UTD conducted AI exams for the program intake last year, in which 96.7 percent of them cleared the exam, and 80 percent of individuals landed jobs in the area of artificial intelligence. The state government recognised and appreciated the role of Digithon, the digital entity of TITA, in transmitting AI skills. To pass on the programmes in 2021, TITA has launched the internship program.
TITA will be starting the ‘Artificial Intelligence & Machine Learning In-plant Training cum Internship Programme’ from July 12. The last date for enrolling in the course is July 10. Candidates will be taking up projects on machine learning (ML) and deep learning along with training in facial recognition, chatbox, etc.
The registration for the internship is open on the digithon website till July 10. As a part of the industrial tour, candidates will be visiting industries too. Those who clear the exam post the eight-week artificial intelligence program will receive a certificate in AI & ML from the UTD. The program is being offered at a nominal charge of Rs 10,000 for youth in the state.
