Safe and effective medications are needed to meet the medical needs of billions worldwide, which are driven by aging populations and increasing insight into disease burden. However, getting a novel drug to the market currently takes 13–15 years and US$2–3 billion, on average1. Faced with skyrocketing costs and high failure rates, researchers are looking at ways to make drug discovery and development more efficient through automation, artificial intelligence (AI) and new data modalities2,3. AI has become woven into therapeutic discovery since the emergence of deep learning4. It stands out as an approach to guide discovery5 by finding and extracting actionable predictions that lend themselves to hypotheses testable in the laboratory.

In the next 10 years, FieldPRO expects agriculture to be completely revolutionized by automation. "Market forecasts expect the autonomous agriculture sector to exceed $95 billion by 2027, according to research by Global Market Insights Inc. The German farm tractor industry alone has recorded deliveries of 32,000 autonomous units in 2021 and is expected to reach 45,000 units by 2028." These autonomous vehicles can perform functions on their own, without the need for operators in the cab, but still rely on operators to authorize their entry into the field, which in turn depends on the weather conditions and the quality of the soil at the site. FieldPRO developed an artificial intelligence foundation that understands the environmental conditions of the rural area.

Abduction is a form of reasoning where assumptions are made to explain observations. For example, if an agent were to observe that some light was not working, it can hypothesize what is happening in the world to explain why the light was not working. An intelligent tutoring system could try to explain why a student gives some answer in terms of what the student understands and does not understand. The term abduction was coined by Peirce (1839-1914) to differentiate this type of reasoning from deduction, which involves determining what logically follows from a set of axioms, and induction, which involves inferring general relationships from examples. In abduction, an agent hypothesizes what may be true about an observed case.

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A high-level course of AI to learn how Machine Learning provides the foundation for AI, and how you can leverage cognitive services in your apps. Artificial Intelligence will define the next generation of software solutions. This computer science course provides an overview of AI, and explains how it can be used to build smart apps that help organizations be more efficient and enrich people's lives. It uses a mix of engaging lectures and hands-on activities to help you take your first steps in the exciting field of AI. Discover how machine learning can be used to build predictive models for AI.