In the 19th century, it might have been hard to imagine the extensive usage of intelligent objects such as IoT-enabled watches, robotic home assistance, etc. But today, smart technologies like these rule the world. Businesses, big or small, are reorienting their strategies to become technology savvy and agile. In order to stay ahead of competition and unlock more value, we need to lean on robotics and similar futuristic technologies.
With the new wave of technologies setting in, let us now analyze, which ones will be able to create a better human-machine interface and fulfill our business goals.
Artificial intelligence and Internet of Things as game changers
Artificial intelligence (AI) is nothing but a software module to perform complicated, cutting-edge jobs efficiently with zero human interference. It’s more like a computer with human characteristics such as speech recognition, visual perfection, and intelligent decision-making based on situation. AI will observe, learn, plan, manage, and control objects using natural processing languages to achieve a common goal. This technology will enable machines to learn and adapt methods and jobs based on experience and produce reliable, concurrent solutions similar to a human being.
In the past couple of years, AI and deep learning have got more attention, and a lot of investments have poured in on the research front. For more on AI and machine learning, please check the reference section.
Again, the Internet of Things (IoT) is something where a group of devices, systems, and machines are connected through an internet ecosystem. This could be LAN or WAN or a Cloud-based setup. IoT brings in a lot of positive changes in human-machine interaction and the end goals. It may have different applications in smart cities, smart homes, smart objects, and smart buildings. Here, huge amounts of data is generated between human-machine and machine-machine interactions. Using the data collected from different entities and processing it with intelligent methods need a new way of innovation and its usage.
So, this combination is expected to enhance the current technology ecosystem and take it to the next level.
The current data usage via Internet of Things
Currently, IoT and its associated devices mostly use the conventional mechanism to send, receive, and process the data. For example, an engine from the manufacturing industry sends a large amount of data continuously, or a turbine engine of aircraft sends terabytes of data during its in-flight phase. In the above cases, all these huge amount of one-sided data might not be useful.
How artificial intelligence can help
In order to avoid the failure to handle specific data generated from a turbine engine or the critical 1 collective data of a machinery unit, AI can come to the rescue. The end user will get customized and useful data through machine learning algorithms
Artificial intelligence for IoT and beyond
Information sharing and use of shared information are a big challenge in the current IoT eco-system. With millions of sensors, thousands of nearby IoT systems, and hundreds of nearby region-specific systems, it may be very complex for traditional IoT platforms. The combination of IoT, big data, and cognitive-sensed AI will rule the world in the future. Billions of devices with myriad purposes will be connected. This is where AI will play a significant role and more complex applications will come under its domain.
Some useful artificial intelligence platforms
A lot of innovative products based on AI are being developed today and its count is ever increasing. Currently, the research community, students, and commercial developers are using or developing a lot of AI-based platforms. Some of the useful tools or platforms are given below:
- Google machine learning APIs.
- Amazon’s DSSTNE (Deep Scalable Sparse Tensor Network Engine)
- Apache Spark MLlib and Singa
- Open Neural Networks Library (OpenNN)
- Amazon Machine Learning
Beyond artificial intelligence
Deep Blue’s win over Garry Kasparov in a chess tournament or an unpiloted Stanford University vehicle completing 212 Km off-road drive with more than 100 left and right sharp turns, and IBM’s Watson etc. are instances of AI dominance.
In the current scenario, AI might be providing better intelligence like robots, autopilot systems like Tesla car or intelligent flight control but they are not as cognitive as human beings in very complex situations.
So, the idea is to go beyond the AI paradigm and establish the best possible technology-human interface. In fact, the best outcome of AI would be to include biological intelligence.
The promising future of Cyborg
Cyborg intelligence has the potential to fill the gap of AI and it’s lagging human association. It is a mechanism by tightly coupled machines and human like biological beings such as Brain-Machine interface (BMIs). BMI links the cognitive ability of biological beings with a machine’s computational ability. Bidirectional BMIs with real time neuro-feedback will improve the machine and human brain interaction in core. The other mechanism is neuromorphic computing which has a copy of human biological models of neural system and has a better resemblance of human cognitive sensing. This makes the AI-based machine look closer to a human being. It reduces the difficulty of integrating the human-machine association and makes it easy to connect the brain with the outside world.
The cognitive model of Cyborg mainly uses the MultiAgent theory and technique. These models can help the machine-human collaboration.
The benefit of Cyborg intelligence can be as follows,
- Neural intervention, advanced medical treatment
- Assist and augment human cognitive functions.
- Better intelligence control of space missions, its complex control functions
- Better robotic intelligence
- Image-based better understanding and its accurate sensing.
A cyborg has the potential to change the applications of different sectors like medical, military, mechanical, space, and cognitive science. A major problem for space exploration is oxygen for humans. So, if we send a cyborg machine which resembles a human, then space exploration would be revolutionized. In the future, a cyborg-based robotic machine will roam Mars and from the Earth a person (a scientist or mechanical/electrical engineer) can control the robotic object via transmission of BMI signals. These things can happen in the future via this closely coupled man-machine interaction.
A Cyborg has potential to change applications in various sectors like medical, military, mechanical and cognitive science.
- “Artificial Intelligence and Big Data” IEEE Intelligent Systems , D. E. O'Leary, Univ. of Southern California
- "Feature Selection: A Data Perspective”, J. Li et al.
- “Big Universe, Big Data: Machine Learning and Image Analysis for Astronomy”, Jan Kremer et al.
- “Natural-Born Cyborgs: Minds, Technologies, and the Future of Human Intelligence” by Andy Clark
- Intelligence-Augmented Rat Cyborgs in Maze Solving” Yu Y, Pan G, Gong Y, Xu K, Zheng N, Hua W, et al
- “From Artificial Intelligence to Cyborg Intelligence” Daniel Zeng, Zhaohui Wu
- “Cyborg Intelligence: Towards Bio-Machine Intelligent Systems” Zhaohui Wu and Gang Pan, Jose C. Principe, Andrzej Cichocki,