An artificial intelligence algorithm can detect subtle differences in the way people with Alzheimer’s use language.
Tesla boss Elon Musk has been told by Germany’s economy minister that he can have whatever he needs for his new electric vehicle manufacturing plant in Berlin.
Musk and Germany economy minister Peter Altmaier had an hour long meeting in Berlin on Wednesday, according to a source familiar with the matter. “The main topics were Tesla’s billions of euros worth of investment in Germany,” the source said.
The duo, who first met six years ago, also spoke about Musk’s projects in areas like space flight and autonomous driving.
Amanda Christensen, ideaXme guest contributor, fake news and deep fake researcher, and Marketing Manager at Cubaka, interviews Nitendra Rajput, VP and Head of Mastercard’s AI Garage.
Amanda Christensen Comments:
Continue reading “Exploring the Implications of AI with Mastercard’s AI Garage” »
Amanda Christensen, ideaXme guest contributor, fake news and deepfake researcher and Marketing Manager at Cubaka, interviews Dan Mapes, PhD, MBA co-founder of VERSES.io and co-author of The Spatial Web: How Web 3.0 Will Connect Humans, Machines, and AI to Transform the World.
Amanda Christensen Comments:
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Deploying “AI for Good” In The Life Sciences — Tom Lawry, National Director for Artificial Intelligence, Health & Life Sciences, Microsoft, joins me on ideaXme to discuss how they are deploying artificial intelligence “at scale”, across the major organizations responsible for delivery quality, next generation healthcare to millions of patients and customers — #Ideaxme #Microsoft #ArtificialIntelligence #MachineLearning #DeepLearning #Health #Healthcare #Wellness #Medicine #Pharmacy #Hospitals #Nursing #Insurance #Diagnostics #Data #Moonshots #Biotechnology #Longevity #LifeExtension #Aging #IraPastor #Bioquark #Regenerage
Ira Pastor, ideaXme life sciences ambassador, interviews Tom Lawry, National Director for Artificial Intelligence — Health & Life Sciences at Microsoft.
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A pioneer in Emotion AI, Rana el Kaliouby, Ph.D., is on a mission to humanize technology before it dehumanizes us.
At LiveWorx 2020, Rana joined us to share insights from years of research and collaboration with MIT’s Advanced Vehicle Technology group.
Part demo and part presentation, Rana breaks down the facial patterns that cameras can pick up from a tired or rested driver, and observations from the first ever large-scale study looking at driver behavior over time.
Continue reading “Artificial Emotional Intelligence (Emotion AI) – What It Is and Why It Matters” »
The emergence of artificial intelligence and machine learning techniques is changing the world dramatically with novel applications such as internet of things, autonomous vehicles, real-time imaging processing and big data analytics in healthcare. In 2020, the global data volume is estimated to reach 44 Zettabytes, and it will continue to grow beyond the current capacity of computing and storage devices. At the same time, the related electricity consumption will increase 15 times by 2030, swallowing 8% of the global energy demand. Therefore, reducing energy consumption and increasing speed of information storage technology is in urgent need.
Berkeley researchers led by HKU President Professor Xiang Zhang when he was in Berkeley, in collaboration with Professor Aaron Lindenberg’s team at Stanford University, invented a new data storage method: They make odd numbered layers slide relative to even-number layers in tungsten ditelluride, which is only 3nm thick. The arrangement of these atomic layers represents 0 and 1 for data storage. These researchers creatively make use of quantum geometry: Berry curvature, to read information out. Therefore, this material platform works ideally for memory, with independent ‘write’ and ‘read’ operation. The energy consumption using this novel data storage method can be over 100 times less than the traditional method.
This work is a conceptual innovation for non-volatile storage types and can potentially bring technological revolution. For the first time, the researchers prove that two-dimensional semi-metals, going beyond traditional silicon material, can be used for information storage and reading. This work was published in the latest issue of the journal Nature Physics. Compared with the existing non-volatile (NVW) memory, this new material platform is expected to increase storage speed by two orders and decrease energy cost by three orders, and it can greatly facilitate the realization of emerging in-memory computing and neural network computing.
This is my second video presentation on the topic of GEO space-based solar power (astroelectricity). This was also given via video at a conference in Portugal on 22 Aug 2020. After a brief introduction to astroelectricity, the 24-minute presentation addresses how global astroelectricity will enable most of the 17 UN Sustainable Development Goals to be addressed and, especially, how affordable middle-class housing can be built. We are living in an exciting time (in a positive sense) where emerging technologies will enable us to push through these difficult times. The key is to undertake an orderly transition from fossil carbon fuels to astroelectricity and not be sidetracked by poorly developed “solutions” such as the Paris Climate Agreement and the Green New Deal.
The world needs a peaceful, orderly plan to transition from fossil carbon fuels to globally decentralized sustainable energy sufficient to enable worldwide middle-class prosperity. Nuclear power, wind power, and ground solar power—“solutions” often tied to the Green New Deal—cannot practically achieve this. Astroelectricity, generated in space by space-based solar power, can meet this need. This presentation builds on the “(Em)powering World Peace and Prosperity Using Astroelectricity” to discuss the global benefits that will arise from transitioning to astroelectricity.
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Medical experts say coronavirus COVID-19 and Ebola outbreaks show that robotic medicine can help fight infectious disease, but the goal needs to be applications in everyday health care.
When we came out of the financial crisis of 2008, cloud computing kicked into high gear and started to become a pervasive, transformational technology. The current COVID-19 crisis could provide a similar inflection point for AI applications. While the implications of AI continue to be debated on the world stage, the rapid onset of a global health crisis and concomitant recession will accelerate its impact.
Times of crisis bring rapid change. Efforts to harness AI technologies to discover new drugs – either vaccine or treatment – have kicked into hyperdrive. Startups are racing to find solutions and established companies are forming partnerships with academia to find a cure. Other companies are researching existing drugs for their potential applicability. AI is proving a useful tool for dramatically reducing the time needed to identify potential drug candidates, possibly saving years of research. AI uses already put into action are screening for COVID-19 symptoms, decision support for CT scans, and automating hospital operations. A variety of healthcare functions have started to be performed by robots, from diagnosis to temperature monitoring.
Whatever the new normal becomes in the aftermath of the current crisis, it’s apparent that AI will be an even larger part of the technology landscape going forward — and not only for healthcare.
