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Frightening reality of Meta-built artificial intelligence that can think "the way we do"

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Meta founder Mark Zuckerberg was met with a mixed reaction after touting his company's "exciting breakthrough" towards creating an artificial intelligence system that thinks "the way we do." In a Facebook post on Thursday, Zuckerberg hailed the development of Meta's data2vec, a new artificial intelligence algorithm that is capable of learning about several different types of information without supervision. Zuckerberg predicted that the development could eventually be used to more effectively help people perform common tasks like cooking. "Exciting breakthrough: Meta AI research built a system that learns from speech, vision and text without needing labeled training data," Zuckerberg wrote in the post. "People experience the world through a combination of sight, sound and words, and systems like this could one day understand the world the way we do."


Global Big Data Conference

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Researchers have created a method to help workers collaborate with artificial intelligence systems. In a busy hospital, a radiologist is using an artificial intelligence system to help her diagnose medical conditions based on patients' X-ray images. Using the AI system can help her make faster diagnoses, but how does she know when to trust the AI's predictions? Instead, she may rely on her expertise, a confidence level provided by the system itself, or an explanation of how the algorithm made its prediction -- which may look convincing but still be wrong -- to make an estimation. To help people better understand when to trust an AI "teammate," MIT researchers created an onboarding technique that guides humans to develop a more accurate understanding of those situations in which a machine makes correct predictions and those in which it makes incorrect predictions.


What AI could be like when you plug a computer into your brain

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You become what you think about." In the few minutes that you are reading this article, I will tell you about a completely new type of artificial intelligence, I will name the design features and advantages, I will outline the immediate prospects and possible long-term consequences of the introduction of this technology into real life. Together we will touch the future. This article is the fourth in a series on the nature of human intelligence and the future of artificial intelligence systems. In the previous article, "The secret of human intelligence," we found out that human intelligence can work as a classical binary system-symbiosis, functioning due to the structural features of transmembrane proteins in ion channels of brain synapses. At first glance, it might seem that this new and generally extraordinary neurophysiological concept is of interest only to doctors and biologists.


Bias in data‐driven artificial intelligence systems--An introductory survey

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Artificial Intelligence (AI) algorithms are widely employed by businesses, governments, and other organizations in order to make decisions that have far-reaching impacts on individuals and society. Their decisions might influence everyone, everywhere, and anytime, offering solutions to problems faced in different disciplines or in daily life, but at the same time entailing risks like being denied a job or a medical treatment. The discriminative impact of AI-based decision-making to certain population groups has been already observed in a variety of cases. For instance, the COMPAS system for predicting the risk of re-offending was found to predict higher risk values for black defendants (and lower for white ones) than their actual risk (Angwin, Larson, Mattu, & Kirchner, 2016) (racial-bias). In another case, Google's Ads tool for targeted advertising was found to serve significantly fewer ads for high paid jobs to women than to men (Datta, Tschantz, & Datta, 2015) (gender-bias).


Individual artificial intelligence: A new technology that will change our world

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You become what you think about." In the few minutes that you are reading this article, I will tell you about a completely new type of artificial intelligence, I will name the design features and advantages, I will outline the immediate prospects and possible long-term consequences of the introduction of this technology into real life. Together we will touch the future. This article is the fourth in a series on the nature of human intelligence and the future of artificial intelligence systems. In the previous article, "The secret of human intelligence," we found out that human intelligence can work as a classical binary system-symbiosis, functioning due to the structural features of transmembrane proteins in ion channels of brain synapses. At first glance, it might seem that this new and generally extraordinary neurophysiological concept is of interest only to doctors and biologists.


The Future of Artificial Intelligence

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Have you ever used "SIRI" or "Google Assistant"? They both are popular voice assistants and are commonly used by smartphone users today. Both of these assistants are based on the technology of Artificial Intelligence Systems. Artificial intelligence, in short, known as AI, is a computer-related field that comes into contact with machine learning, natural language/speech processing, expert systems and robotics etc. The basic aim of developing AI is to have a machine or software that can meet the same intelligence as that of the human brain.


DARPA invests in AI that can translate instruction manuals into augmented reality

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WASHINGTON – The Defense Advanced Research Projects Agency has issued a $5.8 million contract to a team building an artificial intelligence system able to scan instruction manuals and convert that data into instructions for augmented reality systems. Companies are already using augmented reality technologies in their manufacturing processes. Lockheed Martin, for example, uses augmented reality goggles in assembling its space systems for NASA. With the goggles on, technicians can see relevant information and instructions in the space around them as they go about their work, saving them from having to constantly walk back and forth to consult physical manuals or computer monitors. Under the $5.8 million contract, PARC, a Xerox company, will work with the University of California at Santa Barbara, the University of Rostock in Germany and Patched Reality on the Autonomous Multimodal Ingestion for Goal-Oriented Support (AMIGOS) project for the Perceptually-enabled Task Guidance Program.


AI can now predict who will develop DEMENTIA, study reveals

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Artificial intelligence systems have been developed to predict whether someone will develop dementia within two years, with 92 per cent accuracy, its developers claim. Data from 15,300 patients in the US was used to train the AI by researchers from the University of Exeter, teaching it who would and wouldn't go on to develop dementia. The technique works by spotting patterns in the data and learning who is most at risk, with researchers hoping it could cut the number of people wrongly diagnosed. Dementia is an umbrella term used to describe a range of progressive neurological disorders (those affecting the brain) which impact memory, thinking and behaviour. There are many different types of dementia, of which Alzheimer's disease is the most common.


Scientists publish a blueprint to apply artificial intelligence to extend human longevity

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In the article the authors describe a new field of study converging AI, basic research, and medicine referred to as Longevity Medicine. Another definition for Longevity Medicine is the preventative and restorative medicine enabled by the deep aging clocks and artificial intelligence. The article was authored by Alex Zhavoronkov, the founder and chief longevity officer of Deep Longevity, a computer scientist with a PhD in biophysics, Evelyne Yehudit Bischof, a practicing medical doctor trained in the top European and the US medical schools actively engaged in aging research and gerooncology at the University Hospital Basel in Switzerland, and at Shanghai University of Medicine and Health Sciences, and one of the most prolific scientists and entrepreneurs in artificial intelligence, Kai-Fu Lee. The traditional approach to medicine is to treat diseases. However, scientists estimate (Cutler and Mattson, 2006) that complete elimination of cancer would result in only 2.3 year increase in life expectancy in the US at birth and 1.3 year gain at age 65.


Artificial intelligence carries a huge upside. But potential harms need to be managed

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Artificial intelligence and machine learning have the potential to contribute to the resolution of some of the most intractable problems of our time. Examples include climate change and pandemics. But they have the capacity to cause harm too. And they can, if not used properly, perpetuate historical injustices and structural inequalities. To mitigate against their potential harms, the world needs frameworks for the governance of data that are economically enabling and that preserve rights.