AI is going to change the world more than anything in the history of mankind.

– Kai-Fu Lee

Artificial Intelligence (AI) has permeated into all aspects of our lives. AI tools are everywhere we look. AI is delivering tangible benefits across every industry one can think about.

Transportation: Although it could take a decade or more to perfect them, autonomous cars will one day ferry us from place to place.

Manufacturing: AI powered robots work alongside humans to perform a limited range of tasks like assembly and stacking, and predictive analysis sensors keep equipment running smoothly.

Healthcare: In the comparatively AI-nascent field of healthcare, diseases are more quickly and accurately diagnosed, drug discovery is sped up and streamlined, virtual nursing assistants monitor patients and big data analysis helps to create a more personalized patient experience.

Education: Textbooks are digitized with the help of AI, early-stage virtual tutors assist human instructors and facial analysis gauges the emotions of students to help determine who’s struggling or bored and better tailor the experience to their individual needs.

Media: Journalism is harnessing AI, too, and will continue to benefit from it. Bloomberg uses Cyborg technology to help make quick sense of complex financial reports. The Associated Press employs the natural language abilities of Automated Insights to produce 3,700 earning reports stories per year — nearly four times more than in the recent past.

Customer Service: Last but hardly least, Google is working on an AI assistant that can place human-like calls to make appointments at, say, your neighbourhood hair salon. In addition to words, the system understands context and nuance.

Future Trajectory

Most AI applications today are classified as “narrow” or “weak” AI, meaning that they usually carry out a specific task they are designed for.

AI is only just getting started. Computers will get smarter, quicker, and increasingly become capable of tasks that traditionally are carried out by humans, such as making complex decisions or engaging in creative thought. Truly intelligent entities would not be designed for one specific task but would be able to carry out many number of tasks.

A Quantum Powered AI

Computing power is the engine of AI.

Quantum computing, along with other next-level processing capabilities such as biological and neuromorphic computing, is likely to unlock even more possibilities.

Quantum computing is basically, ability of sub-atomic particles to exist in more than one state at the same time. It is theoretically capable of completing some calculations up to 100 trillion times faster than today’s fastest computers.

In order to continually evolve to become smarter, machine learning models will inevitably become larger.

Additionally, more processing power means we will be able to create larger amounts of “synthetic” data for training purposes, reducing the need for collecting real data to feed into algorithms for many applications.

Other technologies like neuromorphic computing would be able to mimic the “elastic” capabilities of the human brain to adapt themselves to processing new forms of information.

Creative AI

These days we can see art, music, poetry, and even computer code is being created by AI.

This has been made possible by the ongoing development of “generative” AI i.e. when Ai creates new data rather than simply analyzing and understanding existing data.

With generative AI, analyzing and understanding is the first step of the process. It then takes what it has learned and uses it to build further examples of the models that it has studied.

This ability to create synthetic data will lead us into an era where machines will be doing things we simply haven’t seen them do before.

Ethical and Accountable AI

At the moment, much of the inner workings of today’s AI is not transparent due to proprietary algorithms or complexity involved.

This creates a trust deficit and reluctance to let machines make decisions that affect people’s lives.

If AI is going to live up to its potential, then the smart machines of the near future will have to be more transparent, explainable, and accountable than the ones we’re familiar with now.

Legislative and regulatory changes are likely to be put in place in future.

Interesting

Intel recently unveiled its Loihi processing chip, packed with more than two billion transistors, which is one application that was able to identify ten different types of hazardous material by smell alone – more quickly and accurately than trained sniffer dogs.

Titbits

Adversial Model – AI vs AI

The most impressive results available today are usually obtained when this is done via an “adversarial” model – effectively, two AIs are pitted against each other, with one tasked with creating something based on existing data and the other tasked with finding flaws in the new creation. When these flaws are discovered, the creative network (known as the “generator”) learns from its mistakes and eventually becomes capable of creating data that its opponent (the “discriminator” network) finds increasingly hard to distinguish from the existing data.

Value additions are most welcome

For regular updates, please register here