The battle between the FBI and Apple over the unlocking of a terrorist’s iPhone will likely require Congress to create new legislation. That’s because there really aren’t any existing laws which encompass technologies such as these. The battle is between security and privacy, with Silicon Valley fighting for privacy. The debates in Congress will be ugly, uninformed, and emotional. Lawmakers won’t know which side to pick and will flip flop between what lobbyists ask and the public’s fear du jour. And because there is no consensus on what is right or wrong, any decision they make today will likely be changed tomorrow.
This is a prelude of things to come, not only with encryption technologies, but everything from artificial intelligence to drones, robotics, and synthetic biology. Technology is moving faster than our ability to understand it, and there is no consensus on what is ethical. It isn’t just the lawmakers who are not well-informed, the originators of the technologies themselves don’t understand the full ramifications of what they are creating. They may take strong positions today based on their emotions and financial interests, but as they learn more, they too will change their views.
Imagine if there was a terror attack in Silicon Valley — at the headquarters of Facebook or Apple. Do you think that Tim Cook or Mark Zuckerberg would continue to put privacy ahead of national security?
Scientists have redefined the classification of animals due to genetics; 1st time in 300 years. I wonder how the Vets and the Vet Colleges will respond?
The classification system for animals has been hotly debated and frequently changed since it was created 300 years ago, but now researchers have actually found a genetic basis which confirms that part of the system we use today is actually pretty accurate—and they think this part can be defined even more specifically down to the genetic level.
An international team led by Professor Itai YanaAi of the Technion-Israel Institute of Technology Department of Biology made the discovery after using an extraordinarily powerful technique known as CEL-Seq. CEL-Seq monitors individual cells for their gene activity (as detected via mRNA)—and they applied it across 10 different species, with CEL-Seq being applied to 70 embryos per species.
An exciting new scientific frontier-synthetic biology-took center stage as a celebrated scientist from the Massachusetts Institute of Technology (MIT) recently spoke at the headquarters of the Office of Naval Research (ONR).
As part of a Distinguished Lecture Series celebrating ONR’s 70th anniversary, world-class scientists, researchers and experts from diverse fields will be speaking at ONR in 2016. Dr. Christopher Voigt, an MIT professor of biological engineering, inaugurated the lecture series with a look at the revolutionary potential of synthetic biology.
I believe that AI holds a lot of promise and many great things; however, we have to correct some very critical issues 1st before compound a huge issue that we have today. And, that is Cyber Security and re-establish trust with our consumers and customers. Without these 2 being fully addressed; you will compound these two challenges with AI plus run the risk of having an IoT that most people will not wish to use due to hackers, bad data, etc. Not to mention lawsuits for Wi-Fi connected robotics that were hacked and injured or worse some innocent person.
I believe need to ensure priorities are in order before we make things worse.
Unexpected convergent consequences…this is what happens when eight different exponential technologies all explode onto the scene at once.
This post (the second of seven) is a look at artificial intelligence. Future posts will look at other tech areas.
An expert might be reasonably good at predicting the growth of a single exponential technology (e.g., the Internet of Things), but try to predict the future when A.I., robotics, VR, synthetic biology and computation are all doubling, morphing and recombining. You have a very exciting (read: unpredictable) future. This year at my Abundance 360 Summit I decided to explore this concept in sessions I called “Convergence Catalyzers.”
Dr. Will Caster: “For 130,000 years, our capacity for reason has remained unchanged. The combined intellect of the neuroscientists, engineers, mathematicians and hackers in this auditorium pales in comparison to even the most basic AI. Once online, a sentient machine will quickly overcome the limits of biology. And in a short time, its analytical power will be greater than the collective intelligence of every person born in the history of the world. So now imagine such an entity with the full range of human emotion. Even self-awareness. Some scientists refer to this as ‘the Singularity’. I call it ’Transcendence’. The path to building such a super-intelligence requires us to unlock the most fundamental secrets of the universe. What is the nature of consciousness? Is there a soul? And if so, where does it reside?”
Luddite: “Dr. Caster.”
Dr. Will Caster: “Yes, sir? You have a question?”
Luddite: “So you want to create a God? Your own God?”
Dr. Will Caster: “That’s a very good question. Um… Isn’t that what man has always done?”
“Some scientists refer to this as the Singularity. I call it Transcendence.”
As recently as 50 years ago, psychiatry lacked a scientific foundation, the medical community considered mental illness a disorder of the mind, and mental patients were literally written off as “sick in the head.” A fortunate turn in progress has yielded today’s modern imaging devices, which allow neuroscientists and psychiatrists to examine the brain of an individual suffering from a mental disorder and provide the best treatment options. In a recent interview, Columbia University Psychiatry Chair Dr. Jeffrey Lieberman stated that new research into understanding the mind is growing at an accelerated pace.
(iStock)
Lieberman noted that, just as Galileo couldn’t prove heliocentrism until he had a telescope, psychiatry lacked the technological sophistication, tools, and instruments necessary to get an understanding of the brain until the 1950s. It wasn’t until the advent of psychopharmacology and neuroimaging, he said, that researchers could look inside the so-called black box that is the brain.
“(It began with) the CAT scan, magnetic resonance imaging (MRI) systems, positron emission tomography (PET scans) and then molecular genetics. Most recently, the burgeoning discipline of neuroscience and all of the methods within, beginning with molecular biology and progressing to optogenetics, this capacity has given researchers the ability to deconstruct the brain, understand its integral components, its mechanisms of action and how they underpin mental function and behavior,” Lieberman said. “The momentum that has built is almost like Moore’s law with computer chips, (and) you see this increasing power occurring with exponential sort of growth.”
Specifically, the use of MRIs and PET scans has allowed researchers to study the actual functional activity of different circuits and regions of the brain, Lieberman noted. Further, PET scans provided a look at the chemistry of the brain, which has allowed for the development of more sophisticated pathological theories. These measures, he said, were used to develop treatments while also allowing measurement of the effectiveness of both medication-based therapies and psychotherapies.
As an example, Lieberman cited the use of imaging in the treatment of post-traumatic stress disorder (PTSD). The disorder, a hyperarousal that chronically persists even in the absence of threatening stimulation, is treated through a method called desensitization. Over time, researchers have been able to fine-tune the desensitization therapies and treatments by accessing electronic images of the brain, which can show if there’s been a reduction in the activation of the affected amygdala.
Lieberman noted that despite progress in this area, technology has not replaced interaction with the individual patient; however, as technology continues to evolve, he expects the diagnoses of mental disorders to be refined.
“By the use of different technologies including genetics (and) imaging, including electrophysiological assessments, which are kind of EEG based, what we’ll have is one test that can confirm conditions that were previously defined by clinical description of systems,” Lieberman said. “I think, of all the disciplines that will do this, genetics will be the most informative.”
Just as genetics is currently used to diagnose cancer using anatomy and histology, Lieberman said the expanding field is helping researchers distinguish mental illness in individuals with certain genetic mutations. He expects that in the future, doctors will use “biochips” to routinely screen patients and provide a targeted therapy against the gene or gene product. These chips will have panels of genes known to be potentially associated with the risk for mental illness.
“Someone used the analogy of saying the way we treat depression now is as if you needed to put coolant into your car. Instead of putting it into the radiator, you just dump it on the engine,” he said. “So genetics will probably be the most powerful method to really tailor to the individual and use this technique of precision and personalized medicine.”
Lieberman also sees additional promise in magnetic stimulation, deep brain stimulation through the surgical implanting of electrodes, and optogenetics. Though he has plenty of optimism for these treatments and other potential treatments for mental illness, much of their continued growth may hinge on government policy and budgets. Recent coverage of gun violence in the United States, and a public call for better means by which to screen individuals for mental health inflictions, may be an unfortunate catalyst in moving funding forward in this research arena. A recent article from the UK’s Telegraph discusses Google’s newfound interest in this research, with former US Head of the National Institute of Mental Health now in a position at Google Life Sciences.
“Science, technology and healthcare are doing very well, but when it comes to the governmental process, I think we’re in trouble,” he said. “A welcome development in this regard is President Obama’s Human Brain Initiative, which if you look at the description of it, (is) basically to develop new tools in neurotechnology that can really move forward in a powerful way of being able to measure the function of the brain. Not by single cells or single circuits, but by thousands or tens of thousands of cells and multiple circuits simultaneously. That’s what we need.”
A computer scientist and biologist propose to unify the theory of evolution with learning theories to explain the “amazing, apparently intelligent designs that evolution produces.”
The scientists — University of Southampton School of Electronics and Computer Science professor Richard Watson * and Eötvös Loránd University (Budapest) professor of biology Eörs Szathmáry * — say they’ve found that it’s possible for evolution to exhibit some of the same intelligent behaviors as learning systems — including neural networks.
Glad folks have awaken to the reality of our dated technology. The real question is will they truly be logical in their approach or believe more nuclear bombs are the answer.
The USA has been researching ways to enhance the biology and performance of soldiers for decades.
Deputy Defense Secretary Bob Work warned that America would soon lose its military competitive advantage if it does not pursue technologies such as employing artificial intelligence.
Altering human beings from the inside to more effectively fight in combat is claimed to presents ethical dilemmas for American scientists and military planners.
