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MIDATASMART-BOOK

#artificialintelligence

On the onset of a new era of global transformation, the residents and their surrounding environments are increasingly getting connected through rapidly-changing intelligent technologies. This transformation offers great promise for improved wellbeing and prosperity but poses significant challenges at the complex intersection of technology and society. Future smart connected cities in turn, aims to synergistically integrate intelligent technologies with the natural and built environments, including infrastructure, to improve the social, economic, and environmental well-being of those who live, work, or travel within it. In recent years, Artificial Intelligence/Machine Learning (AI/ML) approaches have emerged as powerful computational models and have shown significant success to deal with a massive amount of data in unsupervised settings. AI/ML is influencing various technologies because it offers an effective way of learning representation and allows the system to learn features automatically from data without the need of explicitly designing them.


Pandemic presents opening for emotionally attuned machines to help us

#artificialintelligence

New forms of "empathetic computing" are helping human users feel more comfortable in opening up to a program. Why it matters: Our mental health has taken a major hit during the COVID-19 pandemic, while social distancing means it's harder to meet in person with therapists. That has opened a space for emotionally attuned machines to help us. By the numbers: A survey of thousands of employees and executives released earlier this month by Oracle and the HR research and advisory firm Workplace Intelligence found 68% of people reported they would prefer to talk to a robot over their manager about stress and anxiety at work. Of note: In April, the FDA suspended many of its rules for digital therapeutic devices for psychiatric disorders because of the pandemic, which led to an increase in doctors prescribing new forms of digital therapy.


Handwriting Recognition - Open Electronics

#artificialintelligence

In this project, I build a pen device which can be used to recognize handwritten numerals. As its input, it takes multidimensional accelerometer and gyroscope sensor data. Its output will be a simple classification that notifies us if one of several classes of movements, in this case 0 to 9 digit, has recently occurred.


Build a chatbot in 20 minutes using Flutter and Dialogflow - Hashnode

#artificialintelligence

It is a privilege for me to help you upgrade your skillset in this post, and you do not need to be a hardcore developer to get this chatbot up and running. You are going to learn how to build a simple chatbot from scratch using flutter and dialogflow. Chatbot Definition A chatbot is a program that can conduct an intelligent conversation. It should be able to convincingly simulate human behavior. Dialogflow is a Google-owned developer of human-computer interaction technologies based on natural language conversations.


Fleet of six driverless Ford Mondeos to be tested in Oxford for the next five months

Daily Mail - Science & tech

A fleet of six self-driving Ford Mondeos will be navigating the streets of Oxford in all hours and all weathers to test the abilities of driverless cars as part of a new trial. Technology firm Oxbotica, spun out of an Oxford University project, has retrofitted the vehicles which are following a nine-mile round trip within the city. A dozen cameras, three Lidar sensors, two radar sensors are used to put the car at'level 4 autonomy', meaning it can handle almost all situations itself. A person needs to be in the driving seat by law, but they won't be touching the steering wheel or pedals, the driverless car will be'taking them for a ride'. The Oxford trial is part of the UK government-backed £12.3 million Endeavour project, set up to try deploying a fleet of self-driving cars in several cities.


The Complete Self-Driving Car Course - Applied Deep Learning

#artificialintelligence

Online Courses Udemy | The Complete Self-Driving Car Course - Applied Deep Learning, Learn to use Deep Learning, Computer Vision and Machine Learning techniques to Build an Autonomous Car with Python | Created by Rayan Slim, Amer Sharaf, Jad Slim, Sarmad Tanveer Preview this course  - GET COUPON CODE 100% Off Udemy Coupon . Free Udemy Courses . Online Classes


Technology is about to destroy millions of jobs. But, if we're lucky, it will create even more

ZDNet

The next five years might see 85 million jobs displaced by new technologies, according to a new report from the World Economic Forum (WEF), although the trend could be balanced out by the creation of 97 million new roles – subject, however, to businesses and governments putting in extra efforts to upskill and retrain the workforce. While the adoption of technologies that automate human labor has been long-anticipated by analysts, who have predicted the start of the "Fourth Industrial Revolution" for years now, 2020 has come with its share of unexpected events, and they have greatly accelerated changes that could threaten the stability of the labor market sooner than expected. The COVID-19 pandemic has fast-tracked most businesses' digital transformation, bringing remote work into the mainstream but also sparking CIOs' interest in new technologies. Surveying 300 of the world's biggest companies, which together employ eight million people around the world, the WEF found that an overwhelming 80% of decision makers are planning on accelerating the automation of their work processes, while half are set to increase the automation of jobs in their company. Industries like finance, healthcare and transportation are showing renewed interest in artificial intelligence, while the public sector is keen to increase the use of big data, IoT and robotics.


Incredible photos reveal the moment NASA's OSIRIS-Rex made historic touchdown on asteroid Bennu

Daily Mail - Science & tech

Stunning images taken from the historic OSIRIS-REx mission show the moment the spacecraft touched down on the asteroid Bennu more than 200 million miles away from Earth to collect a sample of dirt and dust Tuesday night. On Wednesday NASA unveiled videos and images showing the moment the spacecraft pulled off the six-second touch-and-go (TAG) mission where it bounced off the asteroid's surface and picked up samples along the way. The triumphant $1.16 billion mission is the first American effort to take a sample from an asteroid with the hopes to unlock secrets about the origin of life on Earth. The sample will be returned to Earth in 2023. The images show how the spacecraft descended within three feet of the target landing spot dubbed Nightingale on the asteroid while avoiding boulders the size of buildings.


Singular Value Decomposition Core Concepts

#artificialintelligence

A few years ago, I decided to post my study notes for my machine learning courses on Instagram. Initially, I aimed to target the'study-note-aesthetic' enthusiasts out there. Unexpectedly, I began to receive feedback from ML students who explained that the notes were helpful for the actual content in them. Since I have a long history of educating and naturally love to be of assistance, I became more conscientious regarding the clarity of the content and tailored my posts for this new and unexpected target audience. Since I started a master's program in data science in August, I have decided to share my most recent notes -- which are now taken via Notability on the iPad -- on Medium in the case that they can be of use for more students.