Scientists of RMIT University have developed a new artificial intelligence-powered technology to detect early signs of prostate cancer through routine computed tomography scans. Early detection of cancer plays a vital role in its treatment as it reduces the fatality rate.
Scientists collaborated with St. Vincent Hospital in Melbourne to develop this new technology that analyzes CT scans and recognizes the early signs of prostate cancer. This innovation will now help radiologists to quickly diagnose patients and treat them before cancer gets more severe.
Dr. Ruhan Tennakoon, a researcher at RMIT University, said, “We have trained our software to see what the human eye can not, with the aim of spotting prostate cancer through incidental detection.”
A research paper published by the Australian government mentioned that prostate cancer accounts for more than 12% of deaths from cancer in 2020.
The scientists analyzed dozens of CT scan reports of asymptomatic patients of prostate cancer and compared them with reports of patients without prostate cancer.
The artificial intelligence platform was then fed the gathered data to spot differences in the scans to report the presence of cancerous cells in individuals accurately.
The artificial intelligence software keeps on improving on its own as it analyzes more reports. The technology proved its accuracy when it was able to detect cancer in many patients, which radiologists failed to recognize.
RMIT University’s Head of artificial intelligence, Prof. JohnThangarajah, said, “Our health sector needs smarter solutions, and artificial intelligence can help, but we’re only scratching the surface. There is a lot of good that artificial intelligence can bring to the world, which is our focus at RMIT, and this study forms a big part of that.”
Researchers are now looking forward to collaborating with commercial partners to develop the software further and implement it in various hospitals across the globe.
The Indian Institute of Technology (IIT) Delhi recently announced the launch of its new artificial intelligence program named Universal Justice Foundation. This initiative aims to aid the judicial process of the country through artificial intelligence-driven solutions.
The new lab facility of IIT Delhi was inaugurated by a Supreme Court judge, Justice S. Ravindra Bhat. Many renowned individuals marked their presence in the virtual inauguration event like the vice-chancellor of National Law University Delhi, Krishna Deva Rao, Anil Wali, MD, FITT, IIT Delhi, and former chief justice of the nation, K.G. Balakrishnan.
Director of IIT Delhi, V. Ramgopal Rao, said, “Indian Institute of Technology Delhi and National Law University Delhi will be working closely on various aspects related to law and technology.”
IIT Delhi earlier had partnered with the National Law University, Delhi, to set up a Center of Excellence for Law and Technology in order to carry out joint projects, research, innovations, and design new academic courses.
Justice S. Ravindra Bhat, while addressing, mentioned the help technology has brought in the judiciary by reducing the time of paper works and improving the data management process. But he also highlighted the concerns that are emerging regarding the ethical use of artificial intelligence.
Justice S. Ravindra Bhat said, “We must craft the safeguards around the use of artificial intelligence for public function and ensure that the element of human discretion remains wherever required and definitely at each level where important decisions are made.”
He further added that this move will ensure that at the very least discriminatory decision-making can be appealed and responsibility determined, as technology is meant to help making unbiased decisions and increase the accessibility of judicial proceedings.
Ethical hacking is a technique to find vulnerabilities and weaknesses in a system or computer network. A research pointed out that more than 90% of attacks happen on the inside, which shows that invading a computer network is not very arduous. In recent times, Python has emerged as the preferred language for ethical hackers to write scripts and automate structured processes. Python is a scriptwriting language that has gained popularity because it is very user-friendly, and has powerful libraries. NASA’s space machines are also developed using Python. Hacking with Python gives one several advantages like access to nifty python libraries. Here we present to you our list of the top 10 free resources to learn ethical hacking using Python.
Hacking with Python – Ultimate Beginner’s Guide
Hacking with Python is a book written by Steve Tale and is publicly available on the internet. The guide will teach you the correct way of using Python to create hacking tools. It will also teach how to utilize all the available resources developed using the programming language. The book doesn’t require readers to have prior experience with Python, as it focuses on the basic concepts of programming with Python. The book will also help to understand common methodologies that hackers use to misuse vulnerabilities or strengthen security. This guide would enable readers to develop their own hacking script using Python and tweak existing scripts according to their requirements.
Developing Ethical Hacking Tools With Python
Developing Ethical Hacking Tools with Python is a free online course offered by Cybrary. The course will teach how to combine multiple Python libraries related to cybersecurity, which will enable learners to build automated information gathering processes. The course will also teach the proper way of coding a keylogger and how to develop a ZIP password bruteforcer using Python. It is a one hour twelve minutes online course consisting of five-minutely designed video modules. The course is flexible in nature, which means learners can view the sessions whenever they want. The course has short videos spread across various modules. On completion, learners will receive a recognized certificate from Cybrary, which would aid them in their careers in cybersecurity.
Python for Ethical Hacking – Beginners to Advanced Level
Python for Ethical Hacking is a free online course developed by Mindsmapped. It is a three-hour-long video course having three modules. The modules are further divided into smaller sections to help learners to watch them over a period of time. The hacking with python course has been instructed by Alexis Ahmad. He is the founder and CEO of a leading cybersecurity consultancy, HackerSploit. Ahmad has more than six years of experience in the field of cybersecurity and four years of experience in web and android development. The course has already trained above 100,000 in ethical hacking with Python. It has also been able to maintain a five-star rating since its launch. The free online course will explain how to create ethical hacking tools and scripts using Python. Learners will also be able to apply the scripts into Kali Linux, which is an open-source Debian-based Linux distribution, to test computer systems or networks.
Complete Python Hacking Tutorial
This is a complete three and a half-hour long online video course available for free on YouTube. The course will teach the learner many important topics regarding hacking with Python, which includes Virtual Box installation, Guest additions installation, Kali Linux installation, Python in Kali terminal, stealing saved wireless passwords, and saving passwords in a file. Learners will also get to know about bruteforcing any login page, bruteforcing Gmail, finding hidden directories, discovering sub-domains, changing HTTP headers, controlling threads, coding run function, printing usage and testing, and lots more. The video is available on a YouTube channel named Joseph Delgadillo. The course is also available on Udemy with the title Master Ethical Hacking with Python.
How to learn Ethical Hacking with Python and Kali Linux course
This is a free ethical hacking learning course available on YouTube on a channel named Wealthy_Knowledge_Shares. It is an eleven-hour online video course that features a pre-assessment quiz having questions from various concepts involved in ethical hacking to test the knowledge of the learner. The course requires the learners to have a basic knowledge of information technology. The video course talks about the fundamentals of risk management and duster recovery. The course will enable the learners to gain a comprehensive understanding of vulnerability assessment and several other tools related to cybersecurity. Additionally, the course also teaches how to configure Linux for pentesting, which includes information about the tools used to pentest Linux systems along with advanced exploitation techniques.
Learn Python and Ethical Hacking From Scratch
This is a unique comprehensive course for beginners who are planning to learn ethical hacking using Python. The course has been meticulously designed by an expert ethical hacker and computer scientist, Zaid Sabih. No prior knowledge of Python is required to pursue this course. It mainly focuses on the practical usage of Python but also briefly ponders about the theory section. The free course is divided into numerous sections that teach different concepts of hacking. By the end of the course, learners will become capable of writing hacking programs for keyloggers, credential harvesters, website hacking tools, network hacking tools, and many more. Learners will also gain an in-depth understanding of how to model problems and to design algorithms to solve those.
Python Hacking Course
This is also a free online video course available on YouTube on the channel Aleksa Tamburkovski. It is a four hour-long detailed course that even beginners can join. The course is carefully divided into six sections. In the first section, the course will teach learners about the virtual box, Kali Linux, and how to install pycharm in Kali Linux. The following sections will include topics like port scanning, vulnerability scanning, SSH brute-force, ARP spoofing, and power sniffing.
A supercomputer is a class of highly powerful computers used for scientific purposes and engineering tasks requiring extremely high computing capabilities. They are also used to monitor climate and are heavily utilized in the space science industry. Unlike conventional computers, supercomputers have multiple CPUs to execute logic operations effectively. The government of India launched its National supercomputing Mission in the year 2015 with the aim of providing seventy-four institutions with high-performance computing facilities by 2022. It is a seven-year-long mission and has been divided into three phases. This initiative of the government has skyrocketed the urge to develop new supercomputers in India. Here we bring our list of the top supercomputers built in India.
List of the fastest supercomputers in India
As the introduction of new supercomputers in India is growing rapidly, we list some of the best supercomputers you should know.
1. PARAM Siddhi-AI
PARAM Siddhi is an artificial intelligence-powered high-performance computing supercomputer developed in India. The supercomputer was developed by the Center for Development of Advanced Computing along with the Ministry of Electronics and Information Technology under the initiative of the National Supercomputing Mission. India’s fastest supercomputer Siddhi-AI was built in 2015. Recently it has secured the 63rd spot on the list of top 500 supercomputers in the world. According to C-DAC, the fastest supercomputer of India, PARAM Siddhi, has a Rpeak of 5.67 petaflops and Rmax of 4.6 petaflops.
C-DAC had collaborated with a chip manufacturing company NVIDIA and a French IT firm, Atos, while developing this supercomputer. The supercomputer is built on NVIDIA’s DGX Superpod architecture that contains forty-two NVIDIA DGX A100 systems. PARAM Siddhi-AI is built to provide assistance in many fields, including deep learning, virtual reality, visual learning, and graphics visualization.
2. Pratyush
Pratyush is one of the fastest supercomputers in India, developed by the Indian Institute of Tropical Meteorology (IITM) Pune in 2018. The government sanctioned ₹400 crores to build a new supercomputer with ten petaflops of computing capacity under the guidance of Suryachandra Rao in the year 2017. This high-end supercomputer is a Cray-XC40 liquid-cooled system that has nodes running Intel Xeon Broadwell E5-2695 processors. It has a whopping system memory of 414 Terabytes and a peak performance of 6.8 petaflops. The primary function of this supercomputer is to predict monsoons and their severity accurately.
Pratyush is the world’s fourth-fastest supercomputer deployed for climate and weather research. Pratyush has recently become India’s second supercomputer to get listed on the top 100 of the list of the world’s top 500 supercomputers by securing the 78th position. The machine is currently being used by two government bodies which include IITM Pune and National Center for Medium Range Weather Forecasting (NCMRWF), Noida.
3. Mihir
Mihir is an Indian-built supercomputer also developed by the Indian Institute of Tropical Meteorology in the year 2018. This Indian supercomputer also bagged 120th position in the list of top 500 supercomputers in the world. Mihir has a maximum capacity of 2.5 petaflops. Pratyush and Mihir are used together to perform weather forecasting tasks. These two supercomputers, when clubbed together, can achieve a peak performance that is comparable to PARAM Siddhi-AI.
4. SAHASRAT
SAHASRAT is a Cray X-C40 Indian supercomputer developed by the Indian Institute of Science (IISc) Bengaluru. It is the latest addition to the Supercomputer Education and Research Center’s (SERC) high-performance computing systems. The supercomputer is powered by an Intel Haswell 2.5 GHz CPU cluster with twelve cores, NVIDIA G40 4K graphic accelerator, 128 GB of RAM, 2.1 PB storage, and 1376 nodes. It had also secured the 96th position on the list of top 500 supercomputers in the world in the past, making it one of the fastest supercomputers in India.
SAHASRAT is mainly used for aeronautical engineering and molecular research. It has also been utilized for accurately mapping weather conditions of several areas through simulations.
5. AADITYA
AADITYA is an IBM iDataplex supercomputer deployed at the Indian Institute of Tropical Meteorology (IITM) Pune. The supercomputer features Intel Sandy Bridge processors with 2384 compute nodes, 149 TB RAM, NVIDIA GF100GL graphic card, and 6 PB of storage space. Each node of AADITYA’s processor has 32 cores. The machine uses IBM’s General Parallel File system to manage its processing. AADITYA had earlier ranked 116th in the top 500 supercomputers list. IITM uses this Indian supercomputer to predict rainfall in smaller areas. It is also used to conduct meteorological research in the institute.
6. Color Blossom
Color Blossom is a Cray-X30 supercomputer developed by the Tata Institute of Fundamental Research (TIFR) located in Hyderabad. This supercomputer of India runs on Linux operating system and is powered by an Intel Xeon 5E-2680 processor, NVIDIA Tesla K20x graphic card, 1.1 PB of storage, and has a maximum computing speed of 558.7 TFlops. TIFR is using Color Blossom under the Indian Lattice Gauge Initiative to conduct research on quantum chromodynamics and physics.
7. PARAM YUVA-II
The Center for Development of Advanced Computing, along with Intel and Netweb Technologies, built PARAM YUVA-II as the successor of the previous generation YUVA in February 2013. It secured 69th position in the list of top 500 supercomputers in the world in the same year. YUVA-II is one of the fastest high-performance computing systems in the PARAM series of supercomputers.
Gree500 list of 2013 listed YUVA-II in 44th position globally among the most power-efficient supercomputers with a performance of 1,760.20 megaflops. It is powered by Intel Xeon 5E-2670 and has a storage capacity of 200 TB. The supercomputer can be used in various sectors like pharmaceutical research, weather forecasting, aerospace engineering, and bioinformatics.
PADUM is one of the famous high-performance supercomputers in India, deployed at the Indian Institute of Technology Delhi. It was named the 166th fastest supercomputer in the world and 4th in India. PADUM is a graphics-focused supercomputer designed to perform graphics-intensive operations. This Indian supercomputer is powered by NVIDIA’s Tesla platform K40M graphic processing unit and two Intel Xeon G-6148 twenty-core CPUs clocked at 2.4 GHz. IIT Delhi’s researchers worked along with NVIDIA for more than two years to develop this high-end supercomputer. PADUM is India’s only GPU-centric supercomputer. The institute uses this machine to conduct research on various subjects like deep learning, data analytics, computational physics, and many more.
9. VIRGO
VIRGO is an IBM iDataplex dx360 M4-based supercomputer developed by the Indian Institute of Technology (IIT) Madras in 2015. Its main motive is to collect satellite data that will increase the accuracy of weather forecasting in the region. The supercomputer enables the researchers to interpret data from previous cyclones and compare them with real-time weather data to provide better predictions. VIRGO features two Intel E5-2670 processors clocked at 2.6 GHz, 64 GB RAM per node, and a Mezzanine adapter for FDR10 infinite band communications. It has a total of 292 compute nodes which produces a peak performance of 97 TFlops.
10. PARAM Shivay
The supercomputer was developed by the Center for Development of Advanced Computing (C-DAC). Prime Minister Narendra Modi, in 2019, inaugurated the new Indian supercomputer PARAM Shivay at The Indian Institute of Technology (IIT) Varanasi. The supercomputer was developed under the country’s National Supercomputing Mission initiative. Research and development of PARAM Shivay cost Rs.32 crores. The newly made Indian supercomputer has a maximum capacity of 833 Tflops. Shivay is powered by two Intel Xeon Skylake 6148 20 cores 2.4 GHz processors per node. PARAM Shivay will be used by the meteorology department to aid them in generating better weather predictions and will also be used for research in computational biology.
11. Supercomputing facility at NABI
Recently a new $2.7 million supercomputing facility has been opened at the National Agri-food Biotechnology Institute in Mohali. The facility was inaugurated by the Minister of Health & Family Welfare, Science & Technology, and Earth Sciences, Dr. Jitendra Singh. It is a highly advanced supercomputing facility with a maximum capacity of 650 teraflops. Officials mentioned that the supercomputer has one Master Node, 28 Compute Nodes, one Fat Node, two GPU Nodes, and a single Storage Node. The new supercomputing facility has been established under the National Supercomputing Mission in partnership with C-DAC Pune. Scientists of NABI and the Center of Innovative and Applied Bioprocessing (CIAB) will be able to carry out cutting-edge research related to agriculture and nutritional biology in the newly established supercomputing facility. It will be very beneficial for world-class big data analysis of large-scale genomics, functional genomics, and structural genomics.
Along with Heifer International, IBM announced that they would be using blockchain and artificial intelligence to help small-scale farmers in Honduras. This will help farmers make more profit and better business decisions while being well informed about the entire supply chain.
According to a study conducted by Heifer, farmers operate at 46-59% loss due to a lack of transparency in the shipping of the product to market. To curb this loss, small-scale farmers will be provided with IBM’s blockchain technology, Food Trust to monitor the supply from the farm to the marketplace, eliminating middlemen’s role to enhance profit rates for the farmers. IBM Watson, the artificial intelligence technology, Watson, a decision platform, will assist the farmers with the right knowledge of various agricultural-based queries.
Jesús Pizarro, the vice president of financial innovation at Heifer, said that the company worked in close collaboration with farmers for 18 months to figure out methods to improve profits, production, and digitizing the value chain for farmers to obtain the “premium price.”
The technologies are currently being used by coffee farmers in the COPRANIL cooperative and cacao farmers from the Choclate4all community. For farmers to obtain the premium price, Food trust will be updated with data, starting from Heifer uploading the information on nursed plants to COPRANIL updating about the quality of beans, cleaning, drying, and roasting processes. Corporate buyers can access this information to fix the price of the beans based on organically grown, quality, etc.
IBM and Heifer will be working with CATIE, a sustainable and human wellbeing-based organization, to install the Watson platform for agriculture. The predictive AI system will compile customized results for each farmer’s land regarding expected yield, planting patterns and notify about the weather conditions based on geospatial data, environment, the climate of the region, and loT field data. These will help farmers make better decisions regarding agricultural practices and business.
In the coming future, the cooperatives aim to use Food Track to trace documents such as bills, invoices, purchase and sale orders, certifications, etc., used by traders, exports, and buyers to reduce the paperwork burden and facilitate faster transactions to the farmer.
Yandex self-driving group will be delivering food through robots in 250 US college campuses by fall. The company has collaborated with GrubHub to make food delivery easier to college students, where the campuses can’t be reached by car.
Yandex has been developing fully autonomous vehicles since 2017, it has partnered with Uber in September 2020 for a fully automated car. Yandex confirmed that the idea of robotic food delivery was being developed in 2018, in December 2020, the company introduced Yandex.Eats in Moscow, Russia. From fall 2021. It will be expanding these capabilities in America too.
Since the pandemic, the demand for food delivery has increased rapidly. As a result, food delivery apps were flooded with orders, and companies were sometimes unable to deliver them on time. Food delivery robots reduce the burden on delivery people and have been assisting companies in streamlining food delivery. In Russia, the Yandex.Eats has over 30,000 merchants across 166 locations post-pandemic alone.
The robot can navigate fully automatically in pavements, pedestrian areas, and crosswalks at a speed of 3-5 miles per hour. Food security is maintained by giving the customer access through their smartphones, the robot sends a notification once it reaches the destination, the customer can tap a button on the GrubHub app to unlock the top of the container and pick their order. The rover can deliver day and night irrespective of the weather conditions.
The robot can navigate by itself fully automatically in both controlled and uncontrolled pedestrian scenarios, unless it gets into complex situations like someone/something stepping on it or is being stopped, then it will send a notification for assistance.
GrubHub and Yandex together hope to meet the unique dining needs of college students across the country while being cost-efficient, scalable, and quick. They expect to deliver dozens of these rovers by the time colleges reopen in September for fall semesters.
Amazon’s fully customisable game engine Lumberyard will soon be open-sourced as Open 3D engine. The Linux Foundation will supervise the project and form an Open 3D Foundation to collaborate with game developers to enhance the triple-A game engine.
This project is supported by renowned game developers such as Denis Dyack from Apocalypse Studios, along with 20 other founding members including AWS, Adobe, Huawei, Niantic, Red Hat, etc. The engine will help game developers in building royalty-free 3D games and simulations, providing enterprises some leverage against the commercial game engines from Unity Technologies and Epic Games.
The foundation will also support open source projects with advanced capabilities in 3D graphics, authoring, rendering, and development. AWS is in the process of developing an updated version of the game engine as the Open 3D Engine (O3DE) under the permissive Apache 2.0 license. It provides the developers the opportunity to do anything: users can download the code, look at the code, change it in any way that they want, and use it in any way. People can also contribute to the engine over time to make it better.
Bill Vass, VP of engineering at Amazon Web Services, said that AWS is proud to offer the 3D development community an unencumbered, real-time 3D engine that is AAA-capable, that posses one of the broadest arrays of integrated 3D authoring tools along with a new photorealistic renderer, for both modern gaming hardware and distributed cloud rendering. He added that creating a community-driven, first-class, open-source option will revolutionize real-time 3D development.
One of the biggest advantages of the open source engine is that it will have high-end rendering quality, which means that it can combine imagery created with tools like Maya with everything else in a game and enable it to run on a variety of game machines. The foundation will be hosting O3DE’s inaugural event in October.
Sankara eye foundation and Leben care are developing cloud-based artificial intelligence called Netra.AI to screen patients with vision loss. The project will be using Intel’s AI tools to identify retinal conditions in a short period with the same accuracy as doctors.
The cloud-based AI solution uses deep learning to recognize retinal conditions in a short time. It can accurately identify diabetic retinopathy (DR), reducing the burden of screening on vitreoretinal surgeons. The lack of trained retinal professionals, especially in remote, rural areas, limits effective screening of asymptomatic patients, AI technologies like this help resolve these issues to some extent.
The AI model analyses images from portable, technician-operated fundus camera devices and passes on the results of DR grading through a cloud-based web portal. It uses AI algorithms, developed along with leading retina experts, with a four-step deep convolutional neural network (DCNN). The DCNN helps identify the DR stage and annotate lesions based on the pixel density in the fundus images. The solution can also be expanded to aid with other retinal/vision conditions and glaucoma, helping in reducing the screening burden and emphasizing resources on patients who need immediate care and intervention.
Netra.AI is enhanced with Intel Xeon Scalable processorswith built-in Intel Deep Learning Boost and Intel Advanced Vector Extension 512 acceleration. Intel’s architecture provides flexibility, robust data protection, and quick processing of extensive data. Intel-optimized images are used for TensorFlow, Apache, MXNet, and PyTorch, and Intel’s performance libraries to enhance the application performance.
According to Intel professionals, the system can be used for screening retinal illnesses in large populations with limited resources and infrastructure. The AI system delivers an outstanding sensitivity of 99.7 percent and specificity of 98.5 percent for the detection of DR. The technology has been demonstrated in India and other countries in Asia and Africa.
iMerit recently announced through a tweet that it has collaborated with Deshpande Foundation to build a new data center in Hubballi, India, for artificial intelligence training.
iMerit is a US-based data labeling firm that has now planned to launch its tenth artificial intelligence training data center in association with a non-profit organization in India.
This move by iMerit has opened new opportunities in the southern part of India as the company aims to deploy a skilled workforce to provide world-class training in machine learning and artificial intelligence.
The tech company also intends to nurture new talents in the field of artificial intelligence and data science in underprivileged regions of the country. CEO of iMerits, Radha Ramaswami Basu, said, “We are excited to expand to Hubballi. The skills and expertise of our workforce are in high demand within Fortune 500 companies because of our ability to help them solve complex data challenges in their AI.”
She also mentioned that they have very carefully decided to expand to Hiubbali as they think that the city is perfect for training new skilled technical talents in the country.
iMerit expertise in providing data for natural language processing and computer vision, which companies use to develop artificial intelligence and machine learning platforms. The company’s experience will help India’s data science industry to flourish further.
Founder of Deshpande Foundation, Dr. Deshpande, said, “We are looking at Hubballi beyond the lens of Bengaluru, Karnataka. Hubballi was yearning for high-tech jobs for many years, and the launch of iMerit is one of the best opportunities the under-resourced community can get.”
He also added that the partnership of the two companies is an excellent initiative as this would enable people of rural and semi-rural areas to work on data science used for artificial intelligence platforms. Both the companies plan to expand their project further in the near future.
Tencent employs facial recognition to monitor minor’s gaming activities from 10 pm to 8 am across China. This was done to prevent children from playing games at night using adult accounts and reduce screen time of young adults.
The system was implemented all across China since Tuesday, the facial recognition tech is also linked with a public identity database to ensure accuracy. This isn’t the first time Tencent took a move to reduce gaming addiction in minors, in 2018 Tencent enabled notification to parents whose children spend too much time gaming and limited playtime since 2017 for child accounts. However, minors continued to use adult accounts to enable game access at night, to curb this, Tencent came up with the new technology.
Tencent games will be conducting face screening for accounts registered with real names and that have played for a certain period at night. Anyone who refuses or fails the face verification will be treated as a minor and kicked offline.
Tencent will be launching the facial screening feature for over 60 popular games initially, including its most popular Honor of Kings and Game for Peace. And will be implementing plans to incorporate more titles in the coming years. Tencent began testing facial recognition to check users’ age in Beijing and Shenzhen as of late 2018.
The company mentioned that it is difficult for any system to show its full potential and help children with game addiction unless parents themselves decided to sign up their children to it, regardless of the technology, the company advised corresponding parents to have many other methods to control their children’s gaming such as passwords and timer settings.
