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Samsung, IBM, Tencent Lead AI Patent Race, Europe Lags - insideHPC


Three companies – Samsung, IBM and Tencent – dominate the global AI patent race over the past 10 years, while fierce competition between the U.S, and China overshadows other countries and regions, including the EU. These are the key findings of OxFirst, a specialist in IP law and economics (and spin out of Oxford University), which also reported that multiple neural nets, machine learning and speech recognition are driving the market. "Patents are mainly filed in the area of interconnectivity and system architecture, suggesting that top players focus primarily on protecting technologies covering multiple neural nets," OxFirst said in its announcement today. "Other areas of crucial importance are ML and bootstrap methods, alongside procedures used during speech recognition processes; e.g. the further establishment of human-machine dialogue." OxFirst said its sector-specific analysis suggests that major companies have focused on AI in the medical space, particularly medical diagnosis, medical simulation and data mining.

Is The Brain An Effective Artificial Intelligence Model?


In the summer of 2009, the Israeli neuroscientist Henry Markram endeavored onto the TED stage in Oxford, England, and introduced an immodest proposal: he and his colleagues would develop a full human brain simulation inside a supercomputer within a decade. They had been mapping the cells in the neocortex, the supposed seat of thought and perception, for years already. "It's a bit like going and cataloging one piece of rainforest," explained Markram. "How many trees it has? What features are the trees? "His team would now establish a virtual Silicon rainforest from which they hoped artificial intelligence would evolve organically.

Are we Living in an Artificial Intelligence Simulation?


The existential question that we should be asking ourselves, is are we living in a simulated universe? The idea that we are living in a simulated reality may seem unconventional and irrational to the general public, but it is a belief shared by many of the brightest minds of our time including Neil deGrasse Tyson, Ray Kurzweil and Elon Musk. Elon Musk famously asked the question'What's outside the simulation?' in a podcast with Lex Fridman a research scientist at MIT. To understand how we could be living in a simulation, one needs to explore the simulation hypothesis or simulation theory which proposes that all of reality, including the Earth and the universe, is in fact an artificial simulation. While the idea dates back as far as the 17th-century and was initially proposed by philosopher René Descartes, the idea started to gain mainstream interest when Professor Nick Bostrom of Oxford University, wrote a seminal paper in 2003 titled "Are you Living in a Computer Simulation?" Nick Bostrom has since doubled down on his claims and uses probabilistic analysis to prove his point.

Kantar Brand Growth Lab is developing Quantum Machine Learning solutions in Singapore


With the continuous support and partnership of Singapore's Economic Development Board (EDB), Kantar established its Brand Growth Lab in Singapore in 2018 to develop AI/ML solutions. The Lab, an advanced analytics hub, is dedicated to discovering new ways to leverage big data to drive strategic decision-making for business. On January 2nd of this year, Kantar was granted its first patent by the Intellectual Property Office of Singapore for a method of optimising AI/ML predictions from a classical data feed with a hybrid simulator generated from classical and quantum model structures. Some of the other organizations with a patented invention in the Quantum technology field in Singapore are Oxford University Innovation, D-Wave, IBM and Google. "Quantum technology will revolutionize Artificial Intelligence and Machine Learning. This patent indicates our commitment to lead in this field. We are proud to have been awarded this patent as it demonstrates our advancement in the field of data science," commented Hernan Sanchez, Managing Director, Kantar Brand Growth Lab.

Can We Have Conscious Artificial Intelligence And Other Mind-Blowing Things Science Can't Answer


What are the limits of human knowledge? Or is that something we cannot know? This is the question pondered by Professor of Public Understanding of Science at Oxford University, mathematician, broadcaster and author Marcus du Sautoy in his book, What We Cannot Know: Explorations at the Edge of Knowledge. I recently had the pleasure of speaking with Marcus about conscious artificial intelligence and other mind-blowing things that science can't answer. Can We Have Conscious Artificial Intelligence and Other Mind-blowing Things Science Can't Answer It's Amazing What We Know, But There's Still a Lot Unknown In his book, de Sautoy takes us to the edge of knowledge or more precisely to seven "edges" of human knowledge that contemplate what we do and can possibly know about things as diverse as nature, the ingredients that make up the universe, and human and AI consciousness.

Hope grows for targeting the brain with ultrasound


As a way to see inside the body, revealing a tumor or a fetus, ultrasound is tried and true. But neuroscientists have a newer ambition for the technology: tinkering with the brain. At frequencies lower than those of a sonogram but still beyond the range of human hearing, ultrasound can penetrate the skull and boost or suppress brain activity. If researchers can prove that ultrasound safely and predictably changes human brain function, it could become a powerful, noninvasive research tool and a new means of treating brain disorders. How ultrasound works on the brain remains mysterious. But recent experiments have offered reassurance about safety, and small studies hint at meaningful effects in humans—dampening pain, for example, or subtly enhancing perception. “I've seen a lot of tantalizing data,” says Mark Cohen, a neuroscientist at the University of California, Los Angeles (UCLA). “While the challenges are very large, the potential of this thing is so much larger that we really have to pursue it.” Scientists can already modulate the brain noninvasively by delivering electric current or magnetic pulses across the skull. The U.S. Food and Drug Administration (FDA) has approved transcranial magnetic stimulation (TMS) to treat depression, migraine pain, and obsessive-compulsive disorder (OCD). But unlike magnetic or electric fields, sound waves can be focused—like light through a magnifying glass—on a point deep in the brain without affecting shallower tissue. For now, that combination of depth and focus is possible only with a surgically implanted wire. But ultrasound could temporarily disrupt a deep human brain region—the almond-shaped amygdala, a driver of emotional responses, for example, or the thalamus, a relay station for pain and regulator of alertness—to test its function or treat disease. Results in animals are encouraging. Experiments in the 1950s first showed ultrasound waves could suppress neural activity in a visual region of the cat brain. In rodents, aiming ultrasound at motor regions has triggered movements such as a twitch of a paw or whisker. And focusing it on a frontal region of monkey brains can change how the animals perform at eye movement tasks. But it's technically tricky to aim ultrasound through thick, dense skull bone and to show its energy has landed at the intended point. And ultrasound's effects on the brain can be hard to predict. How much it boosts or suppresses neural activity depends on many parameters, including the timing and intensity of ultrasound pulses, and even characteristics of the targeted neurons themselves. “I have tremendous excitement about the potential,” says Sarah Hollingsworth Lisanby, a psychiatrist at the National Institute of Mental Health who studies noninvasive neuromodulation. “We also need to acknowledge that there's a lot we have to learn,” she says. For one thing, researchers are largely in the dark about how sound waves and brain cells interact. “That's the million-dollar question in this field,” says Mikhail Shapiro, a biochemical engineer at the California Institute of Technology. At high intensities, ultrasound can heat up and kill brain cells—a feature neurosurgeons have exploited to burn away sections of brain responsible for tremors. Even at intensities that don't significantly increase temperature, ultrasound exerts a mechanical force on cells. Some studies suggest this force alters ion channels on neurons, changing the cells' likelihood of firing a signal to neighbors. If ultrasound works primarily via ion channels, “That's great news,” Shapiro says, “because that means we can look at where those channels are expressed and make some predictions about what cell types will be excited.” In a preprint on bioRxiv last month, Shapiro's team reported that exposing mouse neurons in a dish to ultrasound opens a particular set of calcium ion channels to render certain cells more excitable. But these channels alone won't explain ultrasound's effects, says Seung-Schik Yoo, a neuroscientist at Harvard University. He notes that ultrasound also appears to affect receptors on nonneuronal brain cells called glia. “It's very hard to [develop] any unifying theory about the exact mechanism” of ultrasound, he says. Regardless of mechanism, ultrasound is starting to show clear, if subtle, effects in humans. In 2014, a team at Virginia Polytechnic Institute and State University showed focused ultrasound could increase electrical activity in a sensory processing region of the human brain and improve participants' ability to discern the number of points being touched on their fingers. Neurologist Christopher Butler at the University of Oxford and colleagues have tested ultrasound during a more complex sensory task: judging the motion of drifting, jiggling dots on a screen. Last month at the Cognitive Neuroscience Society's annual meeting online, he reported that stimulating a motion-processing visual region called MT improved subjects' ability to judge which way the majority of the dots drifted. Ultrasound's effects have so far been subtler than those of TMS, says Mark George, a psychiatrist at the Medical University of South Carolina, who helped develop and refine that technology. With TMS, “you put it on your head and turn it on and your thumb moves,” he says. But the ultrasound experiments that prompted paw twitches in mice used intensities “so, so, so much higher than what we're being allowed to use in humans.” Regulators have limited human studies in part because ultrasound has the potential to cook the brain or cause damage through cavitation—the creation of tiny bubbles in tissue. In 2015, Yoo and colleagues found microbleeds, a sign of blood vessel damage, in sheep brains repeatedly exposed to ultrasound. “This was a huge speed bump,” says Kim Butts Pauly, a biophysicist at Stanford University. But in February in Brain Stimulation , her group reported microbleeds in control animals as well, suggesting this damage might result from dissection of the brains. Butts Pauly and Yoo now say they're confident the technology can be used safely. Cohen and collaborators recently tested safety in people by aiming ultrasound at regions slated for surgical removal to treat epilepsy. With FDA's OK, they used intensities up to eight times as high as the limit for diagnostic ultrasound. As they reported in a preprint on medRxiv in April, they found no significant damage to brain tissue or blood vessels. However, to find the limit of safety, researchers will likely need to go all the way to levels that damage tissue, Cohen says. Several teams are cautiously moving into tests of ultrasound as treatment. In 2016, UCLA neuroscientist Martin Monti and colleagues reported that a man in a minimally conscious state regained consciousness following ultrasound stimulation of his thalamus. Monti is preparing a publication on a follow-up study of three people with chronically impaired states of consciousness. After ultrasound, they showed increased responsiveness over a period of days—much faster than expected, Monti says, although the study included no control group. That research and the tests in epilepsy patients used an ultrasound device developed by BrainSonix Corporation. Its founder, UCLA neuropsychiatrist Alexander Bystritsky, hopes ultrasound can disrupt neural circuits that drive symptoms of OCD. A team at Massachusetts General Hospital and Baylor College of Medicine is planning a study in humans using the BrainSonix device, he says. Columbia University biomedical engineer Elisa Konofagou hopes to use ultrasound to treat Alzheimer's disease. Before COVID-19 interrupted participant recruitment, she and colleagues were preparing a pilot study to inject tiny gas-filled bubbles into the bloodstream of six people with Alzheimer's and use pulses of ultrasound to oscillate the microbubbles in blood vessels lining the brain. The mechanical force of those vibrations can temporarily pull apart the cells lining these vessels. The researchers hope opening this blood-brain barrier will help the brain clear toxic proteins. (Konofagou's team and others are also exploring this ultrasound-microbubble combination to deliver drugs to the brain.) In his first test of ultrasound after years of studying TMS, George looked to reduce pain. His team applied increasing heat to the arms of 19 participants, who tended to become more sensitive over repeated tests, reporting pain at lower temperatures by the last test. But if, between the first and last test, they had pulses of ultrasound aimed at the thalamus, their pain threshold dipped half as much. “This is definitely a double green light” to keep pursuing the technology, George says. George regularly treats depressed patients with TMS and has seen the technology save lives. “But everybody wonders if we could go deep with a different technology—that would be a game changer,” he says. “Ultrasound holds that promise, but the question is can it really deliver?”

'Deepfake' tech to accelerate autonomous car development


Oxbotica, a start-up founded by Oxford University graduates, is using a technology called'deepfaking'. First used to create fake internet videos, it employs deep-learning artificial intelligence (AI) to generate thousands of photo-realistic images in minutes. Two co-evolving AI systems generate the data. One attempts to create the most convincing fake images it can while the other tries to detect which are real and which are not. As the first system improves and learns as it goes on, the detection system will eventually be unable to spot the difference between a real and fake image.

Deep Learning techniques for Cyber Security


For the first time, I taught an AI for Cyber Security course at the University of Oxford. I referred to this paper from Johns Hopkins which covered Deep Neural networks for Cyber Security (A Survey of Deep Learning Methods for Cyber Security) – references below where you can download the full paper for free. Detecting and Classifying Malware: The number and variety of malware attacks are continually increasing, making it more difficult to defend against them using standard methods. DL provides an opportunity to build generalizable models to detect and classify malware autonomously. There are a number of ways to detect malware.

A free self-paced learning path for #machinelearning and #deeplearning


"Can you recommend a free self-paced learning path for #machinelearning and #deeplearning?" This is based on my work / teaching students primarily at Oxford University, but I have chosen only free resources here i.e. publicly available. Usual disclaimers apply i.e. the views are my own So, my suggestion is: Use this learning pathway as a guide but shorten it as you want. Try to go on a series of small journeys – each of which you will complete. But overall, try and maintain the sequence and these resources (trust me between them – I don't think you will miss anything!)

Department of Computer Science, University of Oxford

Oxford Comp Sci

You may like to look at our GeomLab website which will introduce you to some of the most important ideas in computer programming in an interactive, visual way through a guided activity. The Turtle system is a graphics programming environment designed to provide an enjoyable introduction to programming in Java syntax, together with a practical insight into fundamental concepts of computer science such as compilation and machine code. The Alice system from Carnegie Mellon University provides a point-and-click environment for designing 3-D animations and is a useful introduction to object-oriented programming. Elizabeth is an automated conversation and natural language processing program that provides an enjoyable introduction to natural language processing, and that can give insights into some of the fundamental methods and issues of artificial intelligence within an entertaining context. CodeAcademy provides a fun introduction to programming.