Chairman Indian Blockchain Standards Committee
I want to congratulate the entire Team headed by Satya at SOIL for really producing a world-class Digital AI Journal. It was well-received by all and has particularly gained a lot of acceptance amongst the youth. The storytellers were able to craft and publish stories related to AI, Machine learning, and its digital applications in our everyday lives. I have personally received very good feedback from many readers of all ages from across the country.
I wish the entire team congratulations on this happiest occasion of completing the first anniversary. I also wish going forward AI Journal would be able to make a much bigger impact on society through innovative, creative, and practical case studies in a storytelling format, simplifying the concepts for the layman.
AI offers huge opportunities for Cybersecurity. Organizations are looking for Automation, Machine learning (ML), Artificial Intelligence (AI) to help make Cybersecurity more manageable, efficient, effective and lower their risk. The rapid advances in technology, new application domains, and the interplay between ML, AI, and Cybersecurity will continue to introduce new possibilities and challenges. The use of artificial intelligence can help broaden the horizons of existing cyber security solutions and pave the way to create new ones.
The growing complexity of networks is beyond what human beings are capable of handling on their own. After all, data is at the core of cyber security trends. And what better way to analyze data than to use computers that can think and do in nanoseconds tasks that would take people significantly more time.
In a nutshell, with a new horizon of capabilities, I believe the combination of AI and cybersecurity measures offers unique opportunities, insights and speed that have never been seen before.
VP - AI & Data Science @ Innovation Incubator Advisory
Fascinating it was to know about the AIJ platform that gives equal opportunity to teens and youngsters to showcase their AI skills. So fascinating that I have started writing articles for AIJ, for almost a year. It is amusing to see the quality of Gen Z articles that shows the ingenuity of the young minds and their ability to create the future. Kudos to AIJ for giving them a credible platform to interact.
To get the maximum benefit from the journal, I suggest the readers pick the articles of their interest and do hands-on. Many articles have source code also, in the reference. Nothing beats doing it yourself. However, while admiring the modern AI algorithms, keep an eye on the classical techniques that were popular till a decade back.
Many modern AI algorithms are optimized, automated, and accelerated versions of the erstwhile techniques (automated by learning & accelerated by GPUs). Don't you find striking similarities between CNN filters of the present and the Sobel filters of the past? Notwithstanding the recent improvements, the classical techniques are still worth their salt for efficient processing and future research.
While you learn, try to find high-level conceptual correlations, where ever possible, to ease and enhance your understanding. Such correlations are not limited to classical and modern methods but can also be between machine learning and deep learning techniques. Consider the ideological similarity between random forest in ML and Dropouts in DL, for instance.
Try to read, understand, correlate, innovate, experiment, and then write. Iterate this to make the better of yourself. Pen down your thoughts to let the world know. All the best!
I would like to congratulate the AIJ team on their 1st anniversary and an awesome story involving the AI journey of young minds. Having read the Gen Z articles, I am amazed at the thought process and creativity imbibed into these articles by the youngsters, I am sure that we are destined to a greater AI revolution spearheaded by them. Its a fascinating story how AI evolved to its present day state. While there have been many AI winters where the progress has been slowed mainly due to lack of industrial and academic interests, today though, it is omni-present in our every day lives impacting in ways that we cannot yet fully comprehend. We cannot deny the impact of technology on the future social, cultural, economic & geo-political elements. It is very much important that the next gen AI tech be made available to as many rational minds as possible.
We need better models. While the ML models today surpass human capabilities when it comes to structured datasets, humans still outperform ML to a greater extent when it comes to unstructured datasets. The world largely is unstructured. Today, majority of the practiced AI is supervised. Present AI models require us to gather huge amounts of data, then label them which is such a time-taking effort and then requires access to large computing power. Doesn't this set a limitation on who can practice and build models that matter?
I feel that despite all the progress we have made, there is still a long long way for us to go in terms of AI research. We are barely scratching the surface when it comes to unsupervised or reinforced learning. We compare today's deep learning methods to the functioning of human brains, but even still today's CNNs are still no match to the amazing craft (simple yet so powerful) of human brains. A human child only need be shown a handful of cars for it to start detecting cars, but we need thousands of images to go with today's CNN models. While my intent is not to undermine the progress that we have made so far, my main focus here is to highlight the scope left for today's researchers to uncover better models. This according to me is a wonderful opportunity for the young minds, to question not just accept. To learn but not limit. To pioneer and build new ways. Get the basics right, understand the science behind today's models, get inspired and build over amazing thoughts.
Head - Department of Computer Application
Our Hearty Congratulations to AIJ and SOIL team.
Sectors that will be impacted by Automation
source - "Jobs lost, jobs gained: Workforce transitions in a time of automation", McKinsey
Job prospects for the future
By 2030, it is estimated that about 250 to 280 million fresh jobs will be created as an effect of rising incomes on consumer goods alone, with an additional 50 to 85 million jobs generated from increased expenditure in education and health.
It is predicted that there will be good demand for jobs in many sectors