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‘Words do matter’: Artificial intelligence helping review, change word choices in workplace

‘words do matter’: artificial intelligence helping review, change word choices in workplace

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SAN JOSE, Calif. (KGO) — The Oakland Unified School District this week issued an apology for sending out a survey that included a historically racist term for people of Asian descent. Words can offend.However, a movement is underway to prevent bad word choices. It’s part of the changing workplace in Building A Better Bay Area.”I think that words do matter, so I think that you do have to be very mindful of the words that you use,” says Jaye Bailey, Valley Transportation Authority’s head of civil rights and employee relations.Whether it’s a transit agency like VTA or a private company, attention to messaging has never been greater as a result of the social justice movement.RELATED: Oakland Unified School District apologizes after ‘historically racist’ term used in survey”You really work hard to normalize the language within your organization so that everybody is aware of it so that it becomes second, second nature,” she added.VTA is engaged in a conscious effort to improve language on websites and in marketing materials, employee communications and advertising. Thirteen employees, ranging from bus operators to department heads, are in training developed by the Government Alliance on Race and Equity.At …

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USPTO publishes report on public views on artificial intelligence and IP Policy – US IP law adequate for now, until artificial general intelligence is reached?

uspto publishes report on public views on artificial intelligence and ip policy – us ip law adequate for now, until artificial general intelligence is reached?

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White & Case Technology NewsflashAs artificial intelligence (AI) evolves, it becomes imperative to examine whether the current intellectual property (IP) legal frameworks, in the US and abroad, are adequate to address issues specific to AI. The United Kingdom Intellectual Property Office (UKIPO), European Patent Office (EPO) and the United States Patent and Trademark Office (USPTO) have all recently had the opportunity to weigh in on the issue of whether an AI machine can be named as the inventor on a patent application. In late 2018 and in 2019, Dr. Stephen Thaler filed two patent applications in each of the UKIPO, EPO and USPTO, naming DABUS,1 a patented AI machine, as the inventor of the subject inventions.2 All three offices came to the same conclusion for similar reasons: Current law suggests that an inventor must be a human.3 In January 2019, the USPTO held an AI IP policy conference, which included panel discussions featuring IP specialists to discuss AI and IP policy considerations.4 Following the conference and Thaler’s patent applications, the USPTO sought further insight into public opinion on how IP laws and policy should develop as AI technology advances and issued two requests for comment (each an “RFC”), one on August 27, 20195 and a second …

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5 Emerging AI And Machine Learning Trends To Watch In 2021

5 emerging ai and machine learning trends to watch in 2021

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Artificial Intelligence and machine learning have been hot topics in 2020 as AI and ML technologies increasingly find their way into everything from advanced quantum computing systems and leading-edge medical diagnostic systems to consumer electronics and “smart” personal assistants.
Revenue generated by AI hardware, software and services is expected to reach $156.5 billion worldwide this year, according to market researcher IDC, up 12.3 percent from 2019.
But it can be easy to lose sight of the forest for the trees when it comes to trends in the development and use of AI and ML technologies. As we approach the end of a turbulent 2020, here’s a big-picture look at five key AI and machine learning trends– not just in the types of applications they are finding their way into, but also in how they are being developed and the ways they are being used.

The Growing Role Of AI And Machine Learning In Hyperautomation

Hyperautomation, an IT mega-trend identified by market research firm Gartner, is the idea that most anything within an organization that can be automated – such as legacy business processes – should be automated. The pandemic has accelerated adoption of the concept, which is also known as “digital process automation” and “intelligent process …

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Artificial Intelligence comes with some caveats for investors

artificial intelligence comes with some caveats for investors

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What will it be able to do? How intelligent will it be? Actually, for now, not much more intelligent than this chicken 👆(video courtesy University of Melbourne, animal behaviour group) And thus, maybe, you’d want to dig a little deeper before making investment decisions into a hot new AI startup, or buy shares of a corporation with new “AI enabled” product innovation. One of the new types of “emerging AI” is “Reinforcement Learning” (RL). You reinforce good behaviour by giving “it” (in this case the AI but it can also be a chicken) a reward. This approach is based on Psychologist B.F Skinner’s Behaviorism developed in the 1930s (!!). Skinner in turn was influenced by Pavlov’s experiments. That chicken is a great example of how Behaviorism works.Reinforcement learning is how we currently train our cutting edge robots. And applications in manufacturing. Also in finance, inventory management, video games, image recognition, self driving cars, medical applications and even marketing tech.Like the example with the chicken, the tasks the Artificial Intelligence (AI) can learn are narrowly defined. Change the colour of the disk and the chicken will have to learn again. Change anything in the scenario the …

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IBM, Pfizer Collaborate On Early Alzheimer’s Detection With Artificial Intelligence

ibm, pfizer collaborate on early alzheimer’s detection with artificial intelligence

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International Business Machines Corp (NYSE: IBM) and Pfizer Inc (NYSE: PFE) published results in The Lancet eClinical Medicine on the early detection of Alzheimer’s Disease.
What Happened: Researchers from the two companies designed artificial intelligence to detect language data to predict whether a person would develop Alzheimer’s disease, according to a Thursday press release. 
The study looked at misspellings, use of punctuation, repetition, object naming and memory in tests.
The study used data from the Framingham Heart Study, a multigenerational study initiated in 1948.
Related Link: White House’s $1B AI Initiative Highlights 3 Public Companies
Why It’s Important: Alzheimer’s disease is estimated to effect 5.5 million Americans. It is estimated to be the third leading cause of death in the United States behind heart disease and cancer.
The prediction method using AI from IBM and Pfizer showed 71% accuracy in detecting which people had developed Alzheimer’s.
The results surpassed the 59% accuracy rate shown by current models.
The study from IBM and Pfizer was one of the first to assess the risk of Alzheimer’s disease in the general population.
Previous studies focused on individuals already showing signs of cognitive decline or having a family history of the disease.
“ …

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Fraud Eats Strategy – Using Artificial Intelligence to Root Out Fraud and Insider Trading

fraud eats strategy – using artificial intelligence to root out fraud and insider trading

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In this episode, we discuss the rapidly expanding use of artificial intelligence, machine learning and robotic process automation to undertake trade surveillance and mitigate fraud. In this episode, we discuss the rapidly expanding use of artificial intelligence, machine learning and robotic process automation to undertake trade surveillance and mitigate fraud. Joining me today are two experts on the subject of Artificial intelligence from both the technical and legal and compliance perspectives.


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‘Spooky’ similarity in how brains and computers see: Natural and artificial intelligence networks process 3D fragments of visual images in same way

‘spooky’ similarity in how brains and computers see: natural and artificial intelligence networks process 3d fragments of visual images in same way

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The brain detects 3D shape fragments (bumps, hollows, shafts, spheres) in the beginning stages of object vision — a newly discovered strategy of natural intelligence that Johns Hopkins University researchers also found in artificial intelligence networks trained to recognize visual objects.
A new paper in Current Biology details how neurons in area V4, the first stage specific to the brain’s object vision pathway, represent 3D shape fragments, not just the 2D shapes used to study V4 for the last 40 years. The Johns Hopkins researchers then identified nearly identical responses of artificial neurons, in an early stage (layer 3) of AlexNet, an advanced computer vision network. In both natural and artificial vision, early detection of 3D shape presumably aids interpretation of solid, 3D objects in the real world.
“I was surprised to see strong, clear signals for 3D shape as early as V4,” said Ed Connor, a neuroscience professor and director of the Zanvyl Krieger Mind/Brain Institute. “But I never would have guessed in a million years that you would see the same thing happening in AlexNet, which is only trained to translate 2D photographs into object labels.”
One of the long-standing challenges for artificial intelligence has been to replicate human …

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Dr Anthony Loschner: Artificial Intelligence Can Benefit Underserved Populations

dr anthony loschner: artificial intelligence can benefit underserved populations

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Artificial intelligence allows underserved populations to gain access to a radiologist, pointed out Anthony L. Loschner, MD, assistant professor and associate program director, Critical Care Fellowship Program, Virginia Tech Carilion School of Medicine. Artificial intelligence allows underserved populations to gain access to a radiologist by just clicking a snapshot on their cell phone, said Anthony L. Loschner, MD, assistant professor and associate program director, Critical Care Fellowship Program, Virginia Tech Carilion School of Medicine, about his presentation at this year’s CHEST meeting.TranscriptIntroduce us to the use of artificial intelligence in pulmonary medicine.The title of my presentation was “Artificial Intelligence in Pulmonary Medicine: The Rise of the Machines.” And we reviewed the major articles that had been published in the last year or so guiding future AI in pulmonary medicine.There were some reviews that were done, literature reviews, where I reviewed articles on how AI is currently being used. Examples include great work by a Stanford team called ChestNet, and they’re using a deep learning algorithm to read chest x-rays on any media pretty much. So you point your cell phone at a chest x- ray, take a picture, upload it, and their AI system can read …

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Automate Image-based Inspection With sentin VISION System

automate image-based inspection with sentin vision system

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High demands on products as well as high time and cost pressure are decisive competitive factors across all industries and sectors. Whether in the food or automotive industry quality, safety and speed are today more than ever before factors that determine the success of a company. Zero-defect production is the goal. But how can it be guaranteed that only flawless products leave the production line? How can faulty quality decisions, which lead to high costs, be avoided? In order to test this reliably, a wide variety of methods are used in quality assurance. A visual inspection with the human eye is possible, but it is often error-prone and expensive: the eye tires and working time is costly. A mechanical test, on the other hand, is usually accompanied by complex calibration, i.e. setting up and adjusting all parameters of both software and hardware in order to detect every error. In addition, product or material changes require recalibration. Furthermore, with the classic, rule-based approach, a programmer or image processor must program rules specifically for the system to explain to the system how to detect the errors. This is complex and with a very high variance of errors often a hardly solvable …

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