Darwinian evolution has become dogma; AI can rescue what is salvageable.

Artificial Intelligence (AI), as an academic discipline, is traceable to the mid-1950s but it is currently exploding in applications with successes and concerns. AI can be defined as intelligence demonstrated by computers, with intelligence difficult to define but it must include concepts of ability to learn, reason, and generalize from a vast amount of information and, we propose, to infer meaning. The type of AI known as general AI, has strong, but unrealized potential both for assessing and also for solving major problems with the scientific theory of Darwinian evolution, including its modern variants and for origin of life studies.

Biological evolution requires an emergent, self-organizing principle.

In this perspective review, we assess fundamental flaws in Darwinian evolution, including its modern versions. Fixed mutations 'explain' microevolution but not macroevolution including speciation events and the origination of all the major body plans of the Cambrian explosion. Complex, multifactorial change is required for speciation events and inevitably requires self-organization beyond what is accomplished by known mechanisms.

Neo-Darwinism must Mutate to survive.

Darwinian evolution is a nineteenth century descriptive concept that itself has evolved. Selection by survival of the fittest was a captivating idea. Microevolution was biologically and empirically verified by discovery of mutations.

Simulations of blood pressure and identification of atrial fibrillation and arterial stiffness using an extended Kalman filter with oscillometric pulsation measurements.

Background And Objective: The accuracy of systolic and diastolic blood pressure levels from oscillometric devices is difficult to assess for patients with atrial fibrillation and arterial stiffness; in such cases, changes in these levels from heartbeat to heartbeat can only be known if the actual total waveform during a test can be observed. Variation in these levels affects the accuracy of the algorithms in oscillometric devices where precision is of paramount importance according to the American College of Cardiology and the American Heart Association. Recently issued guidelines lowered the definition of high blood pressure; approximately three-quarters of men over 65 years of age meet the criterion and are diagnosed as hypertensive.