Many companies seem eager to leverage artificial intelligence and machine learning capabilities, if for no other reason than to be able to let their employees, customers, and business partners know that they're on the leading edge of technology progress. At the same time, a lot of businesses are looking to enhance the experiences of customers and channel partners, in order to increase brand loyalty, boost sales, and gain market share--among other reasons. Some have found a way to combine these goals, using AI-powered tools to improve the way they deliver products, services, and support to their clients and business partners. G&J Pepsi-Cola Bottlers began its foray into AI and machine learning in January 2020, when it partnered with Microsoft to better understand the AI and machine learning components within Microsoft's Azure cloud platform. With guidance from Microsoft's data science team, "we spent time understanding the environment, required skill sets, and began ingesting various data components within Azure ML to provide predicted outcomes," says Brian Balzer, vice president of digital technology and business transformation at G&J Pepsi.

Over the past two years we have started a program of research into the development of VLSI systems. Professor Gerald Sussman, John Holloway, Tom Knight, Howie Shrobe, and others have developed a number of systems, including a single ship SCHEME processor. We have TTL implementations of a number of our vision algorithms, and we are in the process of switching some of them to VLSI. Expert Problem Solving and VLSI Design Traditional automated synthesis techniques for circuit design are restricted to small classes of circuit functions for which mathematical methods exist. Professor Gerald J. Sussman and his group have developed computer-aided design tools that can be of much broader assistance.

Over the past two years we have started a program of On the theoretical side, Professor Randall Davis has research into the development of VLSI systems. They have introduced a descriptive formalism called OMEGA, which contributes to many of the issues of Traditional automated synthesis techniques for circuit current concern in knowlege representation, and they have design are restricted to small classes of circuit functions for applied it to describe the various structured entities such as which mathematical methods exist. Sussman and his group have developed computer-aided design tools that can be of much broader assistance. Guy L. Steele developed a language to support such programming, Johan de Kleer studied causal and Professor Marvin Minsky has worked on a theory of human teleological reasoning in the recognition of circuit function thinking, which likens the mind to a society of agents and from schematics, and Howie Shrobe has worked on constraint attempts to combine a number of insights from satisfaction and the development of an interactive knowledgebased psychoanalytic, developmental, and cognitive theories of system for substantially supporting VLSI design. Further work by Richard Greenblatt and Dr. Lucia Doyle has studied belief revision via truth maintenance and Vaina develops the idea of thread memory.