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Artificial intelligence, machine learning – these words lately have been used synonymously – but should they be?

In this third video in our artificial intelligence series and as for the purpose of this machine learning series, I’ll seek to answer that question, so sit back, relax and join me on an exploration into the field of machine learning!

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Continue reading “What Is Machine Learning (Supervised Learning) — Part 1” | >

The Life Extension Advocacy Foundation, a nonprofit organization dedicated to promoting healthy longevity and aging research through crowdfunding and advocacy initiatives, is hosting its second annual scientific conference, Ending Age-Related Diseases: Investment Prospects and Advances in Research, at the Cooper Union in New York City on July 11th-12th.

The goal of this conference is to promote collaboration between academia, biotech companies, investors, regulators, public health advocates, and doctors in order to foster the creation of interventions to relieve our aging society from the burden of age-related diseases. It is supported by Genome Protection Inc., which is developing therapies to counteract harmful viral elements in our genome that provoke chronic inflammation, and Icaria Life Sciences Inc., which provides contract research in the field of geroscience.

The morbidity from chronic age-related diseases is increasing proportionally to the aging of the global population, representing a challenge to social protection and healthcare systems around the world. The development of next-generation drugs and therapies that could directly target the processes of aging to more effectively prevent and cure age-related diseases has now become a priority, yet the industry is clearly facing unique financial, development, and regulatory bottlenecks.

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The rabbit-sized heart was made from a patient’s own cells and tissues, using techniques that could help to increase the rate of successful heart transplants in future.

How it worked: A biopsy of tissue was taken from patients, and then its materials were separated. Some molecules, including collagen and glycoproteins, were processed into a hydrogel, which became the printing “ink.” Once the hydrogel was mixed with stem cells from the tissue, the researchers from Tel Aviv University were able to create a patient-specific heart that included blood vessels. The idea is that such a heart would be less likely to be rejected when transplanted. The study was published in the journal Advanced Science.

Let it flow: Until now, researchers have only been able to print simple tissues lacking blood vessels, according to the Jerusalem Post.

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Despite their names, artificial intelligence technologies and their component systems, such as artificial neural networks, don’t have much to do with real brain science. I’m a professor of bioengineering and neurosciences interested in understanding how the brain works as a system – and how we can use that knowledge to design and engineer new machine learning models.

In recent decades, brain researchers have learned a huge amount about the physical connections in the brain and about how the nervous system routes information and processes it. But there is still a vast amount yet to be discovered.

At the same time, computer algorithms, software and hardware advances have brought machine learning to previously unimagined levels of achievement. I and other researchers in the field, including a number of its leaders, have a growing sense that finding out more about how the brain processes information could help programmers translate the concepts of thinking from the wet and squishy world of biology into all-new forms of machine learning in the digital world.

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