Maximum takeoff weight of 13,300 kg. It can attend the maximum speed of Mach 1.8. It has a general range of 850 km and a combat range of 500 km.
Single engined, light weight, highly agile, multi-role supersonic fighter. It has quadruplex digital fly-by-wire Flight Control System (FCS) with associated advanced flight control laws. The aircraft with delta wing is designed for ‘air combat’ and ‘offensive air support’ with ‘reconnaissance’ and ‘anti-ship’ as its secondary roles. Extensive use of advanced composites in the airframe gives a high strength to weight ratio, long fatigue life and low radar signatures.
Length 13.2 m
Span 08.2 m
Height 4.4 m
Max Take of Weight 13.5 t
Payload 05.3 t
Speed 1.6 M
Radius of Action 300 km
Takeoff distance 1700 m
Landing distance 1300 m
Service Ceiling 16 km
The coming era of Artificial Intelligence will not be the era of war, but be the era of deep compassion, non-violence, and love.
How Artificial Intelligence is transforming the Aerospace Industry?
The aerospace industry spans various levels of development, manufacturing, maintenance, and support of aircraft, spacecraft, and rotorcraft. It is a mission-critical industry, and its success depends on components that need to be highly reliable and accurate. Due to this, the industry needs to constantly improve its manufacturing processes, reduce labor costs and human errors, monitor the health of devices inside the aircraft, and effectively address safety issues.
Aerospace has always struggled to keep up with the latest technology trends due to its long regulatory cycles. All the bottlenecks mentioned above can be addressed by implementing Artificial Intelligence. The caveat here is that the algorithms need to be highly intelligent and reliable.
Artificial intelligence and its computational capabilities for data interpretation can streamline and simplify analytics, system management, customer service, and various other processes and activities. Artificial intelligence has already demonstrated promise in several other industries, such as banking, advertisement, retail, and health. Artificial intelligence (AI) in the aerospace industry can help companies streamline manufacturing while also addressing safety concerns. Further, AI systems can analyze inputs from various assets and process vast amounts of data faster than manually.
In this way, aerospace companies can carry out effective and faster inspections of various properties. The use of AI in aerospace can also help create a range of applications that can save/monitor fuel, boost operational performance, and assist in controlling air traffic. It has become crucial for business leaders to explore and leverage the benefits of Artificial Intelligence. Raytheon, General Dynamics, and Northrop Grumman have also announced AI-based development projects and product releases in recent years. Similarly, companies such as Lockheed Martin, Airbus, and Boeing have invested in AI startups through their venture arms.
Applications of Artificial Intelligence Systems in the Aerospace Industry
1. Smart Maintenance
Maintenance is essential to ensure the efficient functioning of the aircraft. Since servicing is typically conducted on a scheduled basis, the process can be time-consuming and incommodious. Unexpected glitches or malfunctions can result in a significant loss of resources and time. Since 45 percent of industry professionals see fixing unforeseen maintenance problems as a critical way to drive performance, it is no surprise that aviation businesses are increasingly looking into predictive maintenance facilitated by AI. Cloud-based applications have been used by Airbus for data processing, retrieval, and analysis to increase aircraft maintenance efficiency.
Predictive analytics sifts through data from sensors and reports, interpreting and sorting it. As a result, algorithms can detect and track possible faults in real-time and forecast the most appropriate repair times, resulting in more intelligent maintenance schedules.
2. Better fuel efficiency
Aerospace companies place a high emphasis on fuel quality, and even a tiny decrease in aircraft fuel consumption can have a massive impact on a company’s bottom line and emissions. The standard commercial flight consumes approximately 4 liters per second, 240 liters per minute, and 14,400 liters per hour. We can cut fuel consumption by 5 to 7 percent with the aid of AI systems.
AI-powered systems assist in the reduction of fuel consumption. For instance, Safety Line, a French firm, has created a machine learning tool that can optimize climb profiles for pilots before each flight. Since the climbing process uses the most fuel, optimizing this stage results in significant fuel savings.
3. Better Customer Experience
Customer satisfaction and quality of service are especially critical for commercial aviation. AI is one of the ways that airlines can improve their customer engagement and deliver exemplary customer support. Chatbots are an example: AI-based automated platforms that can respond to consumer inquiries in real-time and human-like ways. By automating customer service, online chatbots can save customers time and effort. Some of the ways in which this can be achieved are:
- Accurate and Personalized Suggestion on Customer’s purchase decisions
- AI-assisted Chatbots offer efficient and friendly support.
- 24×7 Automated Assistance
- Streamline customer interactions
According to a SITA poll, 14 percent of airlines and 9% of airports currently use chatbots, with 68 percent of airlines planning to deploy AI-driven chatbots shortly.
4. Training
Artificial intelligence can be used to improve pilot training facilities by providing a suitable simulation environment to pilots. This is achieved using AI-enabled simulators in combination with virtual reality systems. These simulators may also capture and analyze practice data to create personalized training data using biometrics to monitor and predict individual performance.
I have always been convinced that the only way to get artificial intelligence to work is to do the computation in a way similar to the human brain. That is the goal I have been pursuing. We are making progress, though we still have lots to learn about how the brain actually works.
Mr Santosh Kumar (born 05 October 1994) was born in Patna, (Bihar, India) to a family that is originally from Yadav in Yadav Kshetra. His father, Shashi Bhushan Prasad is a cashier for the Government of Bihar.
After pursuing engineering, he started his career at Microsoft, New York, USA as a software developer.
After pursuing engineering, he started his career at Microsoft, New York, USA as a software developer.
Later he joined Hindustan Aeronautics Limited (Aircraft Division) as a Senior Technical Officer. He also joined Robotics (Robosapian Technologies) and developed robots based on image processing and voice recognition. He was awarded a gold medal in robotics and application/software development.
Early life
Mr. Santosh was born in Patna, (Bihar, India) to a family that is originally from Yadav in Yadav Kshetra. His father, Shashi Bhushan Prasad, is a cashier for the Government of Bihar and mother Smt. Sita Devi a house wife.
Expanded description
Santosh attended St. Karen’s High School Patna, before graduating from the Rajiv Gandhi College of Engineering and Technology with a bachelor’s degree in Computer Science and Engineering. Santosh said he “always wanted to build things” and that Computer Engineering “was a great way for [him] to go discover what turned out to become a passion,” Computer Science.
Honors, awards and distinctions
Gold medalist by Digital image processing , Voice recognition , RoboSapien. Indian Computing Olympiad, at national level. He has developed a wide range of applications/software.
“Navratna Officer” award by the Ministry of Defence (Raksha Mantri Shri Rajnath Singh) on Aero India Show 2021.
Many games are famous which are developed by him like face/image recognition games, which can be played without any physical contact with PCs/Laptops.
It can be played showing color to the device using the camera. Based on detecting different colors through the camera, it works.
Qualification
- Bachelor of Engineering from Rajiv Gandhi College of Engineering. (Computer Science & Engineering)
- Master of Engineering from B.M.S. Institute of Technology and Management. (Computer Science & Engineering)
- Doctor of Philosophy (PhD) from Indian Institute of Science. (Computer Science & Engineering , Artificial Intelligence (AI))
It is one of the best programmes I’ve ever attended. I would call it an action-packed thriller technology course… It is like parallel processing computers, where we get so much knowledge and so many ideas from fellow students.
His Formulations on Artificial Intelligence
Read more:
Artificial Intelligence : The main research topics in AI include: problem solving, reasoning, planning, natural language understanding, computer vision, automatic programming, machine learning.
You and AI, supported by DeepMind : You and AI, supported by DeepMind by Christopher Michael Bishop FRS FRSE FREng.Microsoft Technical Fellow & Director of The Microsoft Research Lab,Cambridge Lab, London, UK.(Kate Crawford, Distinguished Research Professor at New York University, a Principal Researcher at Microsoft Research New York, and the co-founder and co-director the AI. Now Institute, discusses the biases built into machine learning, and what that means for the social implications of AI.)
Artificial Intelligence (Debate about his discoveries on AI) :
1. Artificial Intelligence as a Positive and Negative Factor in Global Risk.
2. Using Machine Learning Methods for Evaluating the Quality of Technical Documents.
3. General Attention Mechanism for Artificial Intelligence Systems.
4. Artificial Neural Networks with Java.
AI & Robotics Highlights : The Oxford Event
Cut through the hype and uncover the most effective ways to manage the impact of AI and automated technology on your customers and employees. Find out what can beapplied now and how to plan for upcoming AI developments.
Meet with IBM Watson : IBM Watson is a cognitive technology platform which represents a new era in computing: by understanding natural language and generating hypotheses based on evidence, Watson processes information more like a human than a computer, through senses, learning, and experience. Watson continuously learns over time, gaining in value and knowledge from previous interactions. In this historic event, IBM’s David Cole discusses the technology behind Watson, and the history of how it came to be, from the grand challenge of competing on Jeopardy! to supporting clinicians.
Ethics and Morality of Robotics : Robot ethics, sometimes known as “roboethics”, concerns ethical problems that occur with robots, such as whether robots pose a threat to humans in the long or short run, whether some uses of robots are problematic (such as in healthcare or as ‘killer robots’ in war), and how robots should be designed such that they act ‘ethically’ (this last concern is also called machine ethics). Alternatively, roboethics refers specifically to the ethics of human behavior towards robots, as robots become increasingly advanced. Robot ethics is a sub-field of ethics of technology, specifically information technology, and it has close links to legal as well as socio-economic concerns. Researchers from diverse areas are beginning to tackle ethical questions about creating robotic technology and implementing it in societies, in a way that will still ensure the safety of the human race.
Elon Musk’s Vision for the Future : The iconic entrepreneur behind SpaceX, Tesla Motors and Paypal shares his predictions for artificial intelligence, renewable energy and space exploration, in conversation with DFJ General Partner Steve Jurvetson.