AI - Milind Tambe


Milind Tambe (1965–) is a pioneer in artificial intelligence research for social good.

Public health, education, safety and security, housing, and environmental protection are some of the frequent areas where AI is being used to solve societal issues.

Tambe has developed software that preserves endangered species in game reserves, social network algorithms that promote healthy eating habits, and applications that track social ills and community difficulties and provide suggestions to help people feel better.

Tambe was up in India, where the robot novels of Isaac Asimov and the first Star Trek series (1966–1969) inspired him to study about artificial intelligence.

Carnegie Mellon University's School of Computer Science awarded him his PhD.

His first study focused on the creation of AI software for security.

After the 2006 Mumbai commuter train attacks, he got interested in the possibilities of artificial intelligence in this subject.

His doctoral research revealed important game theory insights into the nature of random encounters and collaboration.

Tambe's ARMOR program generates risk assessment scores by randomly scheduling human security patrols and police checkpoints.

Following random screening processes, Los Angeles Airport police uncovered a vehicle carrying five rifles, ten pistols, and a thousand rounds of ammunition in 2009.

Federal air marshals and port security patrols utilize more latest versions of the program to arrange their flights.

Today, Tambe's group uses deep learning algorithms to aid wildlife conservation agents in distinguishing between poachers and animals captured by infrared cameras on unmanned drone aircraft in real time.

Within three-tenths of a second of their arrival near animals, the Systematic Poacher Detector (SPOT) can identify poachers.

SPOT was tested in Zimbabwe and Malawi park reserves before being deployed in Botswana.

PAWS, a successor technology that predicts poacher activities, has been implemented in Cambodia and might be used in more than 50 nations across the globe in the future years.

Tambe's algorithms can simulate population migrations and epidemic illness propagation in order to improve the efficacy of public health campaigns.

Several nonobvious patterns have been discovered by the algorithm, which will help to enhance illness management.

Tambe's team created a third algorithm to assist drug misuse counselors in dividing addiction rehabilitation groups into smaller subgroups where healthy social ties may flourish.

Climate change, gang violence, HIV awareness, and counterterrorism are among the other AI-based answers.

Tambe is the Helen N. and Emmett H. Jones Professor of Engineering at the University of Southern California's Viterbi School of Engineering (USC).

He is the cofounder and codirector of USC's Center for Artificial Intelligence in Society, and he has received several awards, including the John McCarthy Award and the Daniel H. Wagner Prize for Excellence in Operations Research Practice.

Both the Association for the Advancement of Artificial Intelligence (AAAI) and the Association for Computing Machinery have named him a Fellow (ACM).

Tambe is the cofounder and director of research of Avata Intelligence, a company that sells artificial intelligence management software to help companies with data analysis and decision-making.

LAX, the US Coast Guard, the Transportation Security Administration, and the Federal Air Marshals Service all employ his methods.

~ Jai Krishna Ponnappan

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You may also want to read more about Artificial Intelligence here.

See also: 

Predictive Policing.

References And Further Reading

Paruchuri, Praveen, Jonathan P. Pearce, Milind Tambe, Fernando Ordonez, and Sarit Kraus. 2008. Keep the Adversary Guessing: Agent Security by Policy Randomization. Riga, Latvia: VDM Verlag Dr. Müller.

Tambe, Milind. 2012. Security and Game Theory: Algorithms, Deployed Systems, Lessons Learned. Cambridge, UK: Cambridge University Press.

Tambe, Milind, and Eric Rice. 2018. Artificial Intelligence and Social Work. Cambridge, UK: Cambridge University Press.

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