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Vaccines

Vaccines | University-Lectures-Online | Scoop.it

Paul Offit, MD

Penn University of Pennsylvania

 

Start: 25 June 2012 (4 - 5 weeks long)
Workload: 2 hours/week
Medicine, Health and Society & Medical Ethics

 

This course will discuss issues regarding vaccines and vaccine safety: the history, science, benefits, and risks of vaccines, together with the controversies surrounding vaccines and answers to common questions that parents have about vaccines.

 

This course will discuss issues regarding vaccines and vaccine safety. Specifically, 1) the history of vaccines, focusing on different strategies used during the past two centuries to make them, 2) the science of vaccines, focusing on methods of attenuation of various viruses and bacteria, 3) the benefits of vaccines, focusing on the impact of vaccines on health both in the United States and abroad, 4) the risks of vaccines, both real and perceived, 5) the controversies surrounding vaccines, specifically that vaccines cause autism, multiple sclerosis, neurodevelopmental delays, diabetes or other chronic problems, and 6) answers to common questions that parents have about vaccines, such as the fear that too many vaccines given too soon weaken, overwhelm, or perturb the immune system or that vaccines contain harmful additives or manufacturing residuals.

For additional information about vaccines, the Vaccine Education Center, or its program for parents, called Parents PACK, please visit:
http://vaccine.chop.edu
http://vaccine.chop.edu/parents
http://www.prevent-hpv.com

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20,000+ FREE Online Science and Technology Lectures from Top Universities

20,000+ FREE Online Science and Technology Lectures from Top Universities | University-Lectures-Online | Scoop.it

The following topics are covered:

 

Aerospace, Anthropology, Astrobiology, Astronomy, Astrophysics, Biochemistry, Bioengineering, Biology, Biotechnology, Chemistry, Civil Engineering, Cognitive Science, Computers, Cosmology, Dentistry, Electrical Engineering, Engineering, Environment, Future, General Science, Geoscience, Machine Learning, Material Science, Mathematics, Mechanical Engineering, Medicine, Metallurgy, Mining, Nanotechnology, Oceanography, Philosophy, Physics, Physiology, Robotics, and Sociology.

 

Lectures are in Playlists and are alphabetically sorted with thumbnail pictures. No fee, no registration required - learn at your own pace. Certificates can be arranged with presenting universities.


Via Dr. Stefan Gruenwald
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Siegfried Holle's curator insight, July 4, 2014 8:45 AM

Your knowledge is your strength and power 

Saberes Sin Fronteras OVS's curator insight, November 30, 2014 5:33 PM

Acceso gratuito a documentos de las mejores universidades del mundo

♥ princess leia ♥'s curator insight, December 28, 2014 11:58 AM

WoW  .. Expand  your mind!! It has room to grow!!! 

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Deep Learning and Neural Networks [ITP-NYU 2016 Video Lectures]

Deep Learning and Neural Networks [ITP-NYU 2016 Video Lectures] | University-Lectures-Online | Scoop.it

Neural networks are one of the most beautiful programming paradigms ever invented. In the conventional approach to programming, we tell the computer what to do, breaking big problems up into many small, precisely defined tasks that the computer can easily perform. By contrast, in a neural network we don't tell the computer how to solve our problem. Instead, it learns from observational data, figuring out its own solution to the problem at hand.

 

Automatically learning from data sounds promising. However, until 2006 we didn't know how to train neural networks to surpass more traditional approaches, except for a few specialized problems. What changed in 2006 was the discovery of techniques for learning in so-called deep neural networks. These techniques are now known as deep learning. They've been developed further, and today deep neural networks and deep learning achieve outstanding performance on many important problems in computer vision, speech recognition, and natural language processing. They're being deployed on a large scale by companies such as Google, Microsoft, and Facebook.

 

The purpose of these lectures is to help you master the core concepts of neural networks, including modern techniques for deep learning. After listening to these lectures you will have a good understanding of neural networks and deep learning to solve complex pattern recognition problems. And you will have a foundation to use neural networks and deep learning to attack problems of your own interest.

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Video Lectures to Learn Systems Biology (MIT OpenCourseWare)

Video Lectures to Learn Systems Biology (MIT OpenCourseWare) | University-Lectures-Online | Scoop.it
This section contains video recordings of the class lectures from Fall 2014.
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100 Incredible Science Lectures For The Flipped Classroom

100 Incredible Science Lectures For The Flipped Classroom | University-Lectures-Online | Scoop.it
100 Incredible Science Lectures For The Flipped Classroom...
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45 Free Online Computer Science Courses

45 Free Online Computer Science Courses | University-Lectures-Online | Scoop.it

Missed lectures or hate teachers? Or want to study computer science courses without going to university? … You can study anytime anywhere because there are number of free online computer science courses available on internet that are very interactive.

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Continuously updated list of EdX free online courses/MOOCs

Continuously updated list of EdX free online courses/MOOCs | University-Lectures-Online | Scoop.it
List of EdX free online courses/MOOCs aggregated by Class Central. Courses are categorized according to start dates into Recently Started, Just Announced, Upcoming, Self Paced, Ongoing, and Finished
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Always updated List of Coursera free online courses/MOOCs | over 600!

Always updated List of Coursera free online courses/MOOCs | over 600! | University-Lectures-Online | Scoop.it
List of Coursera free online courses/MOOCs aggregated by Class Central. Courses are categorized according to start dates into Recently Started, Just Announced, Upcoming, Self Paced, Ongoing, and Finished
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Comprehensive List of Bioinformatics Workshops, Training Classes and MOOCs

Comprehensive List of Bioinformatics Workshops, Training Classes and MOOCs | University-Lectures-Online | Scoop.it
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Open University Lectures (MOOCs)

Academic Earth 
Connexions 
CORE | China Open Resources for Education 
Khan Academy | Complete Lectures Pack 
P2PU | Peer 2 Peer University 
Udemy | Online Courses from World's Experts 

Capilano University 
Capilano University OpenCourseWare 

Carnegie Mellon University 
Carnegie Mellon Open Learning Initiative 
Carnegie Mellon Articles & Databases 
Carnegie Mellon's Channel | YouTube 

Columbia University 
Columbia University's Channel | YouTube 
Earth Institute, Columbia U's Channel | YouTube 

Delft University of Technology 
TU Delft OpenCourseWare 

Gresham College 
Gresham College Free Public Lectures 

Harvard University 
Harvard Open Learning Initiative 
DASH | Opening Harvard Research 
Harvard's Channel | YouTube 
Harvard Extension's Channel | YouTube 

IE University 
IE OpenCourseWare 

India National Programme on Technology Enchanced Learning 
NPTEL E-learning Courses in Engineering and Science 
NPTEL's Channel | YouTube 

Johns Hopkins University 
Johns Hopkins OpenCourseWare 

King Fahd University of Petroleum & Minerals 
KFUPM OpenCourseWare 

Korea University 
Korea University OpenCourseWare 

Massachusetts Institute of Technology 
MIT OpenCourseWare 
MITx Online Learning Initiative 
MIT's Channel | YouTube 

Middle East Technical University 
METU OpenCourseWare 

New Jersey's Science & Technology University 
NJIT OpenCourseWare 

Novell 
Novell OpenCourseWare 

Pennsylvania State University 
PSU | The College of Earth and Mineral Sciences Open Educational Resources 

Princeton University 
Princeton Archived Lectures 

Purdue University 
Purdue University's Channel | YouTube 

Stanford University 
Stanford Engineering Everywhere (SEE) 
Free Webinars, Seminars, and Lectures 
Stanford's Channel | YouTube 

Taiwan Universities 
Taiwan OpenCourseWare Consortium 

The Open University 
The Open University | OpenLearn 
The Open University's Channel | YouTube 
The Open University Learn's Channel | YouTube 

The Open University of HK 
The Open University of HK | Open Learning Platform 
The Open University of HK's Channel | YouTube 

Tokyo Institute of Technology 
Tokyo Tech OpenCourseWare 

Tufts University 
Tufts OpenCourseWare 
Tufts University Open Education Resources 

United Nations University 
UNU OpenCourseWare 
UNU Online Learning 
UNU Our World 2.0 
UNU's Channel | YouTube 

University of California, Berkeley 
UCBerkeley Webcasts 
UCBerkeley's Channel | YouTube 

University of California, Irvine 
UC Irvine OpenCourseWare 

University of California, San Diego 
UC San Diego Podcasts 

University of Chicago 
UChicago's Channel | YouTube 

University of Massachusetts Boston 
UMass Boston OpenCourseWare 

University of Michigan 
Open.Michigan 
Open.Michigan's Channel | YouTube 

University of New South Wales 
UNSW eLearning Channel | YouTube 

University of Notre Dame 
Notre Dame OpenCourseWare 
Notre Dame's Channel | YouTube 

University of Nottingham 
U-Now OpenCourseWare 
University of Nottingham's Channel | YouTube 

University of Oxford 
Oxford Podcasts 
Oxford Saïd Business School's Channel | YouTube 

University of Southern Queensland 
USQ OpenCourseWare 

University of Tokyo 
UT OpenCourseWare 

University of Wisconsin-Eau Claire 
University of Wisconsin-Eau Claire Open.Eau Claire 

Utah State University 
Utah State OpenCourseWare 

Vanderbilt University 
Vanderbilt University's Channel | YouTube 

Yale University 
Open Yale Courses 
Yale Courses's Channel | YouTube 

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Computer Science - Academic Earth: A comprehensive listing of online Computer Science lectures and courses available on the internet

Computer Science - Academic Earth: A comprehensive listing of online Computer Science lectures and courses available on the internet | University-Lectures-Online | Scoop.it

A comprehensive listing of online Computer Science lectures and courses available on the internet.

 

In its purest form, computer science is the research and development of technology that solves specific problems. Computer science has brought the world smart phones, GPS systems, the gaming industry and tablet computing, along with technological developments that assist government, industry and medicine. In addition to creating new technology, computer scientists also make improvements to existing technology and study the ways computers can make our lives easier.

 

As with any branch of science, computer scientists perform research that establishes new information. This research begins with known mathematical algorithms and computer theory, and strives to constantly redefine what technology can do for us. Computer science also addresses how existing technology can be used in ways previously undiscovered, creating applications that may be faster, simpler, more efficient or less costly.


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Cell Cycle and Cell Division | Learn Science at Nature Education:Scitable

Cell Cycle and Cell Division | Learn Science at Nature Education:Scitable | University-Lectures-Online | Scoop.it

The study of the cell cycle focuses on mechanisms that regulate the timing and frequency of DNA duplication and cell division. As a biological concept, the cell cycle is defined as the period between successive divisions of a cell. During this period, the contents of the cell must be accurately replicated. Microscopists had known about cell division for more than one hundred years, but not until the 1950s, through the pioneering work of Alma Howard and Stephen Pelc, did they become aware that DNA replication took place only at a specific phase of the cell cycle and that this phase was clearly separated from mitosis. Howard and Pelc's work in the broad bean, Vicia faba, revealed that the cell goes through many discrete phases before and after cell division. From this understanding, scientists then identified the four characteristic phases of the cell cycle: mitosis (M), gap 1 (G1), DNA synthesis (S), and gap 2 (G2). The study of these phases, the proteins that regulate them, and the complex biochemical interactions that stop or start DNA replication and cell division (cytokinesis) are the primary concerns of cell cycle biologists.

The most significant progress in this research field came with the demonstration that specific protein complexes involving cyclins were critical for regulating the passage of cells through the cell cycle. These early observations came from biological studies of the cells of rapidly dividing fertilized frog eggs as well as mutant yeast cells that could not divide. The observations suggested that regulation of the cell cycle is conserved throughout eukaryotes, which has since proved to be the case. The mechanism of division in bacteria differs from that of eukaryotes, and the control of their cell cycle is also somewhat different, although again it is linked with DNA replication.

Although the cell cycle is a highly integrated process, distinct areas of interest within this field of study have emerged. For instance, many genes and proteins that influence the passage from one phase of the cell cycle to another have been identified. When their expression is altered by mutation or aberrant regulation, they are usually classed as oncogenes. Other proteins act to hold the cell at distinct points in the cycle (checkpoints) and are known as tumor suppressor genes. Apart from those with a clearly regulatory role, many proteins have important functions in other aspects of the cell cycle; one is replication of DNA and organelles, which is a fascinating process that includes its own repair mechanisms and self-editing. Other fields focus primarily on themechanical processes of cell cleavage into two daughter cells at the end of mitosis and on the condensation and decondensation of chromatin.

How does the cell cycle affect our daily lives? Indeed, most cancers are the result of inappropriate cell division, often stemming from aberrations in normal cell cycle regulation. Considerable research is directed to identifying alterations in cell cycle regulatory proteins, both as targets for therapeutic intervention and as biomarkers that may indicate prognoses for tumors. In addition, the field of stem cell biology is closely linked to cell cycle regulation because these pluripotent cells can divide slowly over long periods and yet initiate growth and differentiation when required. Other areas of current research include investigating cell cycle regulation in the growth of organs and in regeneration, where dormant cells can be switched back into a replicative state.

How have scientists studied the cell cycle? Originally, cell cycle studies were the preserve of microscopy, but today many specific techniques in addition to those widely employed in cell and molecular biology are applied. Fluorescence-activated cell sorting has allowed biologists to both identify cells at particular points of the cell cycle and isolate them. It is possible to monitor how cells that have been exposed to different agents can progress through the cycle. Central to the identification and isolation of key genes has been the ability to isolate temperature-sensitive mutant yeast cells that can be blocked at certain stages of the cycle for closer study. The ability to synchronize cultures so that all cells are at the same point in the cell cycle has also been a boon to capturing a glimpse of common mechanisms and isolating key proteins.

 

Although we now know much about the regulation of the cell cycle, it is clear that we have a long way to go, particularly in understanding the complexity of the interactions between the vast multitude of proteins already identified. Current research has identified a large number of signaling pathways, many comprising several genes, involved in regulating progression through the cycle. Several of these pathways can interact, and knowledge of these interactions will be vital to developing effective strategies for intervention in cancer and other growth abnormalities, such as developmental deformities. In addition, how the cell cycle responds to DNA damage is an area of active research because random aberrations in replication and even environmental toxins can affect vulnerable DNA strands. Ultimately, the success of stem cell-based therapies will depend on a detailed knowledge of how cells can be maintained through many divisions without losing their potential to differentiate or transform into tumor precursors. The study of the cell cycle has vast relevance to the health, well-being, and biology of all organisms, from the growth and development of these organisms, to cancer and aging humans, to the potential for disease and injury repair via stem cell therapies.

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Tshenolo Menwe's curator insight, May 28, 2015 6:14 AM

This is very interesting for me. I mean how can something so small to the naked eye, play such an important role in one's life?

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Targeted Therapies Tutorials - National Cancer Institute's Understanding Cancer Series

Targeted Therapies Tutorials - National Cancer Institute's Understanding Cancer Series | University-Lectures-Online | Scoop.it
Animated tutorials for health professionals about targeted therapies, an emerging approach to cancer treatment.
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133 Lectures about the Foundations of Modern Physics (Stanford Courses - Prof. Leonard Susskind)

133 Lectures about the Foundations of Modern Physics (Stanford Courses - Prof. Leonard Susskind) | University-Lectures-Online | Scoop.it
Free video course on Foundations of Modern Physics by Leonard Susskind of Stanford. This Stanford Continuing Studies course is a six-quarter sequence of classes exploring the essential theoretical foundations of modern physics.

 

This Stanford Continuing Studies course is a six-quarter sequence of classes exploring the essential theoretical foundations of modern physics. The topics covered in this course focus on classical mechanics, quantum mechanics, the general and special theories of relativity, electromagnatism, cosmology, black holes and statistical mechanics. While these courses build upon one another, each section of the course also stands on its own, and both individually and collectively they will allow the students to attain the "theoretical minnimum" for thinking intelligently about physics. Quantum theory governs the universe at its most basic level. In the first half of the 20th century physics was turned on its head by the radical discoveriies of Max Planck, Albert Einstein, Niels Bohr, Werner Heisenberg, and Erwin Schroedinger. An entire new logical and mathematical foundation - quantum mechanics - eventually replaced classical physics. This course explores the quantum world, including the particle theory of light, the Heisenberg Uncertainty Principle, and the Schroedinger Equation. The course is taught by Leonard Susskind, the Felix Bloch Professor of Physics at Stanford University.

 

Here is a comprehensive listing of all lectures from Dr. Susskind:

 

http://www.youtube.com/view_play_list?p=189C0DCE90CB6D81
http://www.youtube.com/playlist?list=PLA27CEA1B8B27EB67
http://www.youtube.com/playlist?list=PL5F9D6DB4231291BE
http://www.youtube.com/view_play_list?p=84C10A9CB1D13841
http://www.youtube.com/view_play_list?p=CCD6C043FEC59772
http://www.youtube.com/view_play_list?p=6C8BDEEBA6BDC78D
http://www.youtube.com/view_play_list?p=F363FFF951EC0673
http://www.youtube.com/view_play_list?p=B72416C707D85AB0
http://www.youtube.com/view_play_list?p=888811AA667C942F
http://www.youtube.com/playlist?list=PL8BCB4981DD1A0108
http://www.youtube.com/playlist?list=PLA2FDCCBC7956448F
http://www.youtube.com/playlist?list=PL3E633552E58EB230
http://www.youtube.com/playlist?list=PL47F408D36D4CF129
http://www.youtube.com/playlist?list=PL701CD168D02FF56F

 

http://glenmartin.wordpress.com/home/leonard-susskinds-online-lectures/

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Carlos Garcia Pando's comment, April 20, 2013 2:37 PM
Thanks for sharing. and Prof. Susskind too.
Tania Gammage's curator insight, May 12, 2013 11:47 PM

Awesome for HSC physics, six week sequence of classes.

Aviva Lev-Ari, PhD, RN's comment, May 13, 2013 6:57 AM
Any thanks, this is the way to go, sharing, sharing, sharing, curls to You
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Virology Lectures 2016 [21 hours of Video Lectures]

Virology Lectures 2016 [21 hours of Video Lectures] | University-Lectures-Online | Scoop.it

When intrinsic and innate immunity can not prevent an epidemic an infection, who you gonna name? Adaptive immunity, within the type of antibodies and T cells. On this lecture we read about how the innate immune gadget requires lend a hand, how antibodies and T cells are made, and the way they save you and get to the bottom of virus infections.

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MIT 5.60 Thermodynamics & Kinetics, Spring 2008 [36 VIDEO Lectures]

MIT 5.60 Thermodynamics & Kinetics, Spring 2008 [36 VIDEO Lectures] | University-Lectures-Online | Scoop.it
This subject deals primarily with equilibrium properties of macroscopic systems, basic thermodynamics, chemical equilibrium of reactions in gas and solution phase, and rates of chemical reactions.
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10 Online Big Data Courses

10 Online Big Data Courses | University-Lectures-Online | Scoop.it

The explosion of hype around the term “big data” ushered in a rabid desire in companies big and small to get their hands on employees with a data science skill set. For evidence, you need look no further than Indeed’s graph of the number of big data-related job postings (see figure).


If you already have the skill set to enter the world’s sexiest profession, it’s a great time to be alive. For those with enough money and expendable time, there’s always the option to go back to school. But for the rest of us, hope is not lost; thanks the rise of the internet, we can begin exploring data science from the comfort of our own homes, and for a fraction of the cost of academia or retraining. Obviously, we’re not saying the options on this list can replace a formal education- but for those looking to expand (or even just begin working on) their big data skillset, they’re a great place to start.

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A Comprehensive List of MOOC (Massive Open Online Courses) Providers

A Comprehensive List of MOOC (Massive Open Online Courses) Providers | University-Lectures-Online | Scoop.it

The recent emergence of Massive Open Online Courses, commonly known as MOOCs, is revolutionizing the online education world and is having a profound impact on higher education. With the growing adoption of MOOCs, the number of MOOC providers has also increased many folds.  Below is a comprehensive and up-to-date list of MOOC providers; might be helpful to all interested.

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Usein González's curator insight, January 14, 2014 9:51 PM

Una de las nuevas metodologías de aprendizaje colaborativo está tomando fuerza a nivel mundial mi experiencia en estos cursos son muy didacticos, excelentes videos de apoyo y bien documentados.

asli telli's curator insight, January 15, 2014 4:20 AM

list of lists for MOOC...

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800+ MOOCs from Great Universities (many with certificates)

800+ MOOCs from Great Universities (many with certificates) | University-Lectures-Online | Scoop.it

Discover 800 Massive Open Online Courses (MOOCs) from great universities. Most offer “certificates” or “statements of completion,” though typically not university credit. (See the key below to understand the credentials offered by each course, and see our MOOC FAQ if you have general questions.) Courses are arranged by start date, while evergreen courses, which can begin whenever you wish, are found at the bottom.

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Always updated list of Udacity free online courses/MOOCs

Always updated list of Udacity free online courses/MOOCs | University-Lectures-Online | Scoop.it
List of Udacity free online courses/MOOCs aggregated by Class Central. Courses are categorized according to start dates into Recently Started, Just Announced, Upcoming, Self Paced, Ongoing, and Finished
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Education Update: Coursera Releases iPad App with 600+ Free Courses

Education Update: Coursera Releases iPad App with 600+ Free Courses | University-Lectures-Online | Scoop.it
Proving that they are still the leader in offering massive open online courses (MOOCs), Coursera has released a beautiful native iPad app that provides access for learners on the move. The internet continues to change education and freely available MOOCs are just one example of a thriving open community. Coursera is not alone but is [...]
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DNA - From Structure to Therapy | Education. Online. Free.

DNA - From Structure to Therapy | Education. Online. Free. | University-Lectures-Online | Scoop.it
Learn what they didn't teach you at school about DNA. Explore GMO, cancer therapy, mutation and diseases. Compare experiments and theories. Enrol for free!
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12 new universities join Coursera, now offering more than 100 courses

Coursera has announced that 12 universities — including three international institutions — will be joining Princeton University, Stanford University, University of Michigan, and University of Pennsylvania in offering Coursera classes, according to the Coursera Blog.


On Coursera, you will now be able to access world-class courses from:

You’ll be able to choose from more than 100 courses, from Professor Dan Ariely’s course on irrational behavior, to learning how to program in Scala (taught from the creator of Scala, Professor Martin Odersky from EPFL), to the legendary UVA course “How Things Work” with Professor Louis Bloomfield.


You can check out the most current course list here — keep in mind you can enroll in a class even if the start date is TBA.


To date, 700,000 students from 190 countries have participated in classes on Coursera, with more than 1.55 million course enrollments total.

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Sieg Holle's curator insight, February 16, 2014 11:26 AM

Your self help program

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Webinar about Hadoop: From Zero to Big Data Answers in Less Than One Hour

Webinar about Hadoop: From Zero to Big Data Answers in Less Than One Hour | University-Lectures-Online | Scoop.it

Eager to get answers quickly that are trapped in your Big Data? Let Cloudera and Karmasphere show you how to go from cluster install to query results in 60 minutes or less. Learn how to remove the complexity of accessing, assembling and analyzing Big Data quickly. This webinar will demonstrate how to derive Big Data insights from social media and relational data and will be followed by a question and answer session.

 

This webinar was designed for professional data analysts interested in quickly generating Big Data insights by combining social media and relational data.

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Academic Training Lecture Series on Dark Matter, Dark Energy and Inflation

Academic Training Lecture Regular Programme


Ninety-five percent of the present mass-energy density of the Universe is dark. Twenty-five percent is in the form of dark matter holding together galaxies and other large scale structures, and 70% is in the form of dark energy driving an accelerated expansion of the universe. Dark matter and dark energy cannot be explained within the standard model of particle physics. In the first lecture I will review the evidence for dark matter and the observations that point to an explanation in the form of cold dark matter. I will then describe the expected properties of a hypothetical Weakly-Interacting Massive Particle, or WIMP, and review experimental and observational approaches to test the hypothesis. Finally, I will discuss how the LHC might shed light on the problem. In the second lecture I will review the theoretical foundations and observational evidence that the dominant component of the present mass density of the Universe has a negative pressure, which leads to an accelerated expansion of the Universe. I will then describe various approaches to understand the phenomenon. Finally, I will describe an observational program to understand the nature of dark energy. The third lecture will describe the issues and models associated with primordial inflation, the purported rapid expansion of the universe in the first fraction of a second after the bang. Models of inflation also involve beyond the standard model physics. The lecture will describe how present observations can shed light on events that occurred in the first second of the life of the universe.

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VizualBusiness: Udacity HTML5 Game Development course now live

VizualBusiness: Udacity HTML5 Game Development course now live | University-Lectures-Online | Scoop.it

Via Mohammed Omar Faruque Masud
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Stanford Lectures for Machine Learning

Stanford Lectures for Machine Learning | University-Lectures-Online | Scoop.it

Lecture series by Professor Andrew Ng for Machine Learning (CS 229) in the Stanford Computer Science department. This course provides a broad introduction to machine learning and statistical pattern recognition. Topics include supervised learning, unsupervised learning, learning theory, reinforcement learning and adaptive control. Recent applications of machine learning, such as to robotic control, data mining, autonomous navigation, bioinformatics, speech recognition, and text and web data processing are also discussed.

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