Expert Systems


primaryobjects/knowledgebase

#artificialintelligence

This project is an example of building an expert system, using a knowledge-base constructed with logic-based artificial intelligence. The first example demonstrates forward-chaining. To use the example, provide the following example inputs below. You should see the following output. The first 4 items are our provided inputs.


Design Engineering Assistant for the Early Design of Space Missions – ICE Lab

#artificialintelligence

Summary: Space missions development takes years and traditionally starts with a feasibility study phase where experts consider several design options, trade-offs and eventually take decisions that will impact the rest of the mission life cycle. To make these first design decisions, experts rely both on their implicit knowledge (i.e. The former type of knowledge represents a substantial amount of unstructured data, which is today underutilized and too time-consuming to explore during the limited timeframe of a feasibility study. A solution is to design an Expert System (ES) to support the initial study input estimation, assist experts by answering queries related to previous design decisions or push them to explore new design options. Such an effort is led since January 2018 by two PhD students, Audrey Berquand and Francesco Murdaca, at the University of Strathclyde within the Intelligent Computational Engineering (ICE) lab, under the supervision of Dr. Annalisa Riccardi.


Medical diagnosis AI in Beijing beats real doctors - Tech Wire Asia

#artificialintelligence

HOW many times have we heard of doctors misdiagnosing patient? It's why most people prefer to get a second and maybe even a third opinion about serious medical conditions. However, with advancements in artificial intelligence (AI), can you imagine how amazing it would be if we could build and train algorithms that look for all the right markers, consider several hundred factors, and take into account all the possible permutations and combinations to deliver "perfect" or even "near perfect" results? Well, news from China suggests that the technology just came to life. According to The Star, an AI-powered system, dubbed BioMind by its creators at the AI Research Centre for Neurological Disorders and Capital Medical University, has defeated elite physicians in two rounds of a medical competition in Beijing.


O.P.C.W., Chemical Weapons Watchdog, Gets Power to Assign Blame

NYT > Middle East

"Are we really committed to prohibiting chemical weapons, or only committed if no one is upset, only committed if no one complains, only committed if no one is put out?" "Without attributing responsibility for their use, our words will become empty rhetoric," Mr. Mason said. "Those that use chemical weapons will more confidently wear a cloak of impunity." The Syrian ambassador, Bassam al-Sabbagh, devoted most of his speech to the group to attacking the United States, which he said had caused the bloodshed in the Middle East, distorted the operation of the O.P.C.W. and other international bodies and conducted "a campaign of false allegations" against his country. He even blamed Americans for the use of chemical weapons in Syria. The United States gives chemical weapons to allied militias, he claimed, to use "in order to inflame international public opinion against the Syrian government."


Watchdog OPCW gets authority to assign blame in Syria chemical attacks despite Russia opposition

The Japan Times

BRUSSELS – Member nations of the global chemical weapons watchdog voted Wednesday to give the organization the authority to apportion blame for illegal attacks, expanding its powers following a bitter dispute pitting Britain and its Western allies against Russia and Syria. An 82-24 vote provided the two-thirds majority needed to enlarge the purview of the Organization for the Prohibition of Chemical Weapons. The organization was created to implement a 1997 treaty that banned chemical weapons, but lacked a mandate to name the parties it found responsible for using them. Many participating nations saw the inability to assign responsibility as a senseless hamstring, especially after fatal chemical attacks during the war in Syria. Russia opposed adding a new license to the agency's portfolio, saying that was a decision that belonged to the United Nations.


Member States Allow Chemical Arms Watchdog to Assign Blame for Attacks

U.S. News

From 2015 to 2017 a joint United Nations-OPCW team had been appointed to assign blame for chemical attacks in Syria. It found that Syrian government troops used nerve agent sarin and chorine barrel bombs on several occasions, while Islamic State militants were found to have used sulfur mustard.


Watchdog Gets Authority to Assign Blame in Chemical Attacks

U.S. News

Britain made its proposal in the wake of the chemical attacks on an ex-spy and his daughter in the English city of Salisbury, as well as in Syria's civil war and attacks by the Islamic State group in Iraq. Britain has accused Russia of using a nerve agent in the attempted assassination in March of former spy Sergei Skripal, which Moscow strongly denies.


Why I love machine learning and it's machine learning in medical diagnosis

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I hope that answers the questions on why care about machine learning, should we be concerned about machine learning. Furthermore I hope you feel enlightened on the application of machine learning to medical diagnosis. I should probably get back to the course. Let me know your reasons for being interested in machine learning in the comments or by subscribing to the email. You can find the link below the posts on mobile or in the right hand bar on desktop.


Federal Lawsuit Challenges Notre Dame's Birth Control Rules

U.S. News

The South Bend Tribune reports the lawsuit was filed Tuesday in U.S. District Court for Northern Indiana. In addition to Notre Dame's abortion policies, it challenges the Trump administration's interim rules allowing universities to disregard a requirement of the Affordable Care Act that health plans cover birth control for women without out-of-pocket costs.


Research on Artificial Intelligence Ethics Based on the Evolution of Population Knowledge Base

arXiv.org Artificial Intelligence

The unclear development direction of human society is a deep reason for that it is difficult to form a uniform ethical standard for human society and artificial intelligence. Since the 21st century, the latest advances in the Internet, brain science and artificial intelligence have brought new inspiration to the research on the development direction of human society. Through the study of the Internet brain model, AI IQ evaluation, and the evolution of the brain, this paper proposes that the evolution of population knowledge base is the key for judging the development direction of human society, thereby discussing the standards and norms for the construction of artificial intelligence ethics.