Over the last few years, the conversation around emerging technologies like AI and machine learning has increased massively. However, this conversation is limited only to the research and developers' community. The general public, which is at the receiving end, is largely left out of such conversations. This is mainly because there has been very little effort to give cultural and linguistic context to such technologies. To give an example, most of us might be unaware of what AI is called in our local tongue or worse; there might not be any local term to refer to AI to begin with.

The Teamcore group's roots are in Artificial Intelligence (AI). Our research in the past decade and longer has focused on "AI for social good", covering topics such as but not limited to: (i) AI for protection of forests, fish and wildlife; (ii) AI for public safety and security; (iii) AI for assisting low-resource sections of society. We focus on fundamental research problems in computational game theory, machine learning, automated planning, intelligent agents and multiagent interactions that are driven by these topics, ensuring a virtuous cycle of research and real-world applications. Examples of research driven by real-world problems include challenges of learning and handling bounded rationality models of human (adversary) behavior from real-world data, solving massive scale games uncertainty, algorithms that enable influence maximization in social networks under dynamism and uncertainty. Our research is in real world use in the form of decision aids to assist Governmental and Non-Governmental Organizations in protecting wildlife, fisheries, and forests, as well as in assisting in public safety and security at airports or ports, or on trains and in university campuses.

Artificial Intelligence (AI) is a science and a set of computational technologies that are inspired by--but typically operate quite differently from--the ways people use their nervous systems and bodies to sense, learn, reason, and take action. While the rate of progress in AI has been patchy and unpredictable, there have been significant advances since the field's inception sixty years ago. Once a mostly academic area of study, twenty-first century AI enables a constellation of mainstream technologies that are having a substantial impact on everyday lives. Computer vision and AI planning, for example, drive the video games that are now a bigger entertainment industry than Hollywood. Deep learning, a form of machine learning based on layered representations of variables referred to as neural networks, has made speech-understanding practical on our phones and in our kitchens, and its algorithms can be applied widely to an array of applications that rely on pattern recognition.

Artificial intelligence (AI) is no longer the stuff of science fiction books and movies. It is a reality that is already permeating society and is affecting our daily lives. If you use facebook or google, artificial intelligence enables machines to virtually understand what you're looking for or to augment your network. In some countries and states in the US, self-driving cars have already taken to the streets. Elsewhere, companies are experimenting with bots that can act like lawyers, tellers, or doctors.