- How do you create Advanced Artificial Intelligence that is better than human experts and understands and can reason about everything on the Web and in the real world?
- How do you Codify Biology at different levels of abstraction (DNA, Proteins, Metabolic and Signalling Pathways, Cells, Tissues, Organs, Body) so that you can predict and control? (Codification of Biology, Engineering Biology, Systems Biology, Computational Biology, Curing Diseases & Disabilities, Increasing Lifespans.)
- How do you invent better tools, technologies (Imaging, Optogenetics) and Models for Understanding and Engineering the Brain? How do you Cure Neurological and Psychiatric Disorders?
- How do you Understand Complex Systems consisting of lots of interacting agents? (Application of Big Data; Inventing better Models, Mathematics, Algorithms to understand complex systems better; finding answers to age old questions in Sociology, Behavioral Science, Political Science, Economics & Business)
- How do you Design Materials and Nanostructures with required properties using Computers?
- How do you make Software Developers say 100 times more productive?
- How do you design an Effective Education and Learning and Research Platform?
- How do you create Platforms that empower people – so that the enormous potential in each and everyone of us is materialized?
- How do you take Human – Computer (networked) collaboration, intelligence to the next level?
- How do you integrate the Information World and the Physical World? (A world where the Physical world is completely aware of everything utilizing information from the Information World; the world of information is embedded in the Physical World.)
- How do you design Next Generation Manufacturing Technologies? (Fab-lab, 3D Printing, Automation)
- Exploration of new computing architectures – continuation of Moore’s law: exponential increase in processing power; computational power for data processing, intelligence; (Parallel computing architectures (e.g., GPUs); Molecular computing; Quantum computing; Cognitive computing / Neuromorphic computing)
- How do you solve Local, Social and Global problems (clean water, cheap energy etc.) utilizing massive collaboration and exponential technologies?
- How do you predict and prevent Natural Disasters?
- Joining the pieces of puzzle together to get a complete picture of the Ultimate Reality.
“Top performing IT professionals outperform their peers not by a factor of 2 times or 10 times or even 100 times, but by 10,000 times.”
– Nathan Myhrvold, former Chief Technology Officer at Microsoft 
The currently accepted IQ scale does not seem reasonable if we look a little bit more closely.
The scale measures intelligence in terms of age. An IQ of 150 indicates a 10 year old boy’s general intelligence is equal to the general intelligence of a 15 year old boy. People have a life expectancy of around 70. So there is an upper limit to how much intelligent a person can be! Beyond that, we are sorry, intelligence is not measurable! If we continue with this line of argument, then the whole process of going through the works of geniuses and labeling them with some IQ score is questionable.
If we want to measure someone’s general intelligence, numeric measures representing skills should be multiplied. Someone with 2 times the reading speed and 2 times the learning abilities of me, who spends 2 times more time on studying and who has 5 times more background knowledge than me which makes him 2 times more effective at learning newer concepts, should be able to learn 2*2*2*2 = 16 times more thanme in a time frame of, say, several days.
Next comes the question of applying the learned knowledge. Problem solving capability variesgreatly, though there is no standard way of measuring problem solving capability. We can look at different problem solving competitions held regularly. If one problem at a certain competition can be solved by 200 contestants a second problem by 20 and a third problem by only 2, then we can reasonably conclude that the third problem is at least 10 times or more (maybe 100 times) as hard as the first problem. In this case those 2 solvers are at least 10 times better than those who could only solve the easiest one. Whoa! Now, who doesn’t want to become a genius given it’s true that one can become a genius if he / she is willing to put the required efforts?