Decentralized AI Ben Goertzel TEDxBerkeley

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Dr. Ben Goertzel is the CEO of the decentralized AI network SingularityNET, a blockchain-based AI platform company, and the Chief Scientist of Hanson Robotics. Dr. Goertzel is one of the world's foremost experts in Artificial General Intelligence, a subfield of AI oriented toward creating thinking machines with general cognitive capability at the human level and beyond He has published 20 scientific books and 140 scientific research papers, and is the main architect and designer of the OpenCog system and associated design for human-level general intelligence. Dr. Ben Goertzel is the CEO of the decentralized AI network SingularityNET, a blockchain-based AI platform company, and the Chief Scientist of Hanson Robotics. Dr. Goertzel is one of the world's foremost experts in Artificial General Intelligence, a subfield of AI oriented toward creating thinking machines with general cognitive capability at the human level and beyond He has published 20 scientific books and 140 scientific research papers, and is the main architect and designer of the OpenCog system and associated design for human-level general intelligence. This talk was given at a TEDx event using the TED conference format but independently organized by a local community.


Advances in imaging organised by the BIR Wessex branch

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This event will start with a lunch followed by an afternoon of lectures. This years' meeting will focus on advances in imaging: Artificial intelligence, machine learning and beyond. The day is aimed at presenting advances in current medical imaging and how these advances are currently being utilised and how they may effect imaging practice in the future. Topics discussed will include artificial intelligence and machine learning along with cutting edge new imaging techniques in other fields of imaging. BIR Member £15 Non member £35 The British Institute of Radiology may take photos at events.


Embracing Artificial Intelligence: Addressing four key concerns - Wipro

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Yes, it might, if humans ask it to. But it is not a good idea to do so as the technology lacks compassion. Armies all over the world are being equipped with AI technologies. For example, the US army3 is keen to build an Advanced Targeting and Lethality Automated System (ATLAS), which will use AI and machine learning to acquire, identify, and engage targets at least 3X faster than the current manual process. However, to stop such machines from turning into killer robots, humans need to control the way in which deep learning algorithms learn.


Affordable ‘dorm room’ tech that makes the grade

USATODAY - Tech Top Stories

Now is the best time to buy a laptop--even if you're not a student. Here's what you need to know to find the best deals! 'Tis the season for heading off to school for another year of higher learning. But at the very least, there are some cool back-to-school gadgets to get excited about – including high-tech devices to keep you organized, productive and entertained while in a dorm room. And the good news is you don't have to blow your budget to get some great gear.


Machine-Learning-Based Prediction Models for AKI

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Acute Kidney Injury (AKI) is a common occurrence for critically ill patients in the ICU, and its early diagnosis has proven to be challenging. The accuracy of the online, machine-learning-based prediction model, AKIpredictor, was analysed for its use in a clinical setting. The study, which took place over five ICUs in Belgium, compared the predictions of AKIpredictor with physician predictions. The patient information for 250 individuals with no prior evidence of AKI or end-stage renal disease before ICU admission was used. Physicians then predicted AKI progression at three stages: at the initial admission, on the patient's first morning in the ICU and 24 hours later.



Microsoft, ISB partner to build AI solutions for better research and leadership

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Tech giant Microsoft and the Indian School of Business (ISB) on Friday announced that they have partnered to create an Artificial Intelligence (AI) Digital Lab, wherein the two organisations will collaborate in research. The research will use AI and Machine Learning (ML) to study relevant issues for business and public policy. In addition, they will introduce a new executive programme titled Leading Business Transformation in the Age of AI in October, which will equip business leaders with tools and strategies to transform their respective organisations into AI-driven organisations. The three-day non-technical programme is done under the purview of Microsoft's online AI Business School, which provides executive-level insights and practical and actionable guidance to build an end-to-end AI strategy. It will focus on managing the impact of AI on company strategy, culture and responsibility.


Visa has added new security capabilities for clients at no extra charge

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Visa rolls out a new suite of tools to fight fraud. The firm announced that the slate of offerings is meant to "help prevent and disrupt payment fraud" and is available to its clients without an additional fee or sign-up. Visa's solutions leverage AI to prevent and quickly put a stop to fraudulent transactions, which could help it keep pace with the AI-driven fraud tools introduced by firms like Mastercard, TSYS, and First Data. Offering fraud-focused tools is particularly important as fraud rises, especially as e-commerce grows more popular, so doing so could make Visa more attractive to firms. Global payment fraud losses are expected to rise 8.5% annually to reach $31 billion in 2020, costing merchants 7% of their annual revenue, according to data from First Data sent to Business Insider Intelligence.


Understanding a Dice Roll with Vision and Object Detection

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Pass the frames from the camera to the VNCoreMLRequest so it can make predictions using a VNImageRequestHandler object. The VNImageRequestHandler object handles image resizing and preprocessing as well as post-processing of your model's outputs for every prediction. To pass camera frames to your model, you first need to find the image orientation that corresponds to your device's physical orientation. If the device's orientation changes, the aspect ratio of the images can also change. Because you need to scale the bounding boxes for the detected objects back to your original image, you need to keep track of its size.


Creating Great Apps Using Core ML and ARKit - WWDC 2019 - Videos - Apple Developer

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Take a journey through the creation of an educational game that brings together Core ML, ARKit, and other app frameworks. See it all come to life in an interactive coding session.