Qrash Course: Reinforcement Learning 101 & Deep Q Networks in 10 Minutes

#artificialintelligence

This article assumes no prior knowledge in Reinforcement Learning, but it does assume some basic understanding of neural networks. Out of all the different types of Machine Learning fields, the one fascinating me the most is Reinforcement Learning. For those who are less familiar with it -- while Supervised Learning deals with predicting values or classes based on labeled data and Unsupervised Learning deals with clustering and finding relations in unlabeled data, Reinforcement Learning deals with how some arbitrary being (formally referred to as an "Agent") should act and behave in a given environment. The way it is done is by giving the Agent rewards or punishments based on the actions it has performed on different scenarios. One of the first practical Reinforcement Learning methods I learned was Deep Q Networks, and I believe it's an excellent kickstart to this journey.


Kaia Health raises $10 million to treat chronic pain with AI

#artificialintelligence

Chronic diseases affect the lives of millions of people around the world. Over 16 million adults in the U.S., for instance, have been diagnosed with chronic obstructive pulmonary disease (COPD), an inflammation of the lungs that obstructs airflow. And researchers estimate that 80 percent of people in the U.S. will experience back pain several times in their lives. Making matters worse, the treatments tend to be expensive -- in 2010, the total annual cost of COPD and back pain in the U.S. was projected to be $50 billion and $240 billion, respectively. Kaia Health, a four-year-old firm founded by former Foodora CEO Konstantin Mehl and Manuel Thurner, claims its digital therapeutics solution -- apps that tap artificial intelligence (AI) and motion-tracking technology to help manage pain -- is not only cheaper than prescription drugs and in-person consultations, but more sustainable in the long term.


$3 Billion Google-Backed AI Unicorn UiPath Set to Achieve Revenue Growth of 5614%

#artificialintelligence

From CCN.com: UiPath, an artificial intelligence (AI) startup first backed by Google's CapitalG fund in 2018 will shortly, according to leaked reports, achieve over 5000% growth. Business Insider sources claim UiPath, also backed by Sequoia Capital and Accel, is set to hit $200 million annual recurring revenue (ARR). ARR is a metric used by software-as-a-service (SaaS) providers to reflect subscription revenues. The ARR figure for UiPath was just $3.5 million in 2016. Its ARR hit $150 million in November 2018.


What AI Is… And Isn't

#artificialintelligence

AI is very good at some things. It may never be good at others. The challenge is figuring out where it can help the most, and then making the cost calculation for how it can be applied. Cost sounds like it should be fairly straightforward, but it isn't. For instance, what is the cost of continuing to doing something the same way if you aren't making necessary changes?


What Is Your Bot Strategy? Your Board Wants To Know

#artificialintelligence

Technology innovations have increasingly become boardroom discussions over the past decade. For the past couple of years, the conversation has revolved around artificial intelligence, and some companies have made heavy investments in technologies. While AI and machine learning remain hot topics, the big question now seems to be, "Where's the return on investment?" Your company can now analyze a lot of data and build compelling user profiles, but how does that manifest itself in achieving business goals? As the CEO of a customer experience solutions company, I advise companies on how to invest in chatbot technology as part of their digital transformation strategies.


Why Chatbots Are The New Frontline Worker

#artificialintelligence

Chatbots are finally having their day. This technology has been around for decades, but thanks to recent advances in artificial intelligence and natural language processing, these once annoying bots -- that could do little more than repeat back credit card numbers -- have transformed into incredibly useful and prolific communication tools. People from all 195 countries now use online chats to start conversations on business websites, and by 2020, more than 50% of medium to large enterprises will use chatbots to support products. Usage rates will continue to climb as chatbot technology steadily improves, allowing these digital assistants to answer more questions and to use more colloquial language to engage with humans. Despite these technological advances, companies are failing to leverage the full potential of these virtual digital assistants.


Artificial Intelligence and Machine Learning

#artificialintelligence

Artificial intelligence (AI) is the software engine that drives the Fourth Industrial Revolution. Its impact can already be seen in homes, businesses and political processes. In its embodied form of robots, it will soon be driving cars, stocking warehouses and caring for the young and elderly. It holds the promise of solving some of the most pressing issues facing society, but also presents challenges such as inscrutable "black box" algorithms, unethical use of data and potential job displacement. As rapid advances in machine learning (ML) increase the scope and scale of AI's deployment across all aspects of daily life, and as the technology itself can learn and change on its own, multistakeholder collaboration is required to optimize accountability, transparency, privacy and impartiality to create trust.


10 Big Data Trends to Watch in 2019

#artificialintelligence

We seek ever more data for a good reason: it's the commodity that fuels digital innovation. However, turning those huge data collections into actionable insight remains a difficult proposition. Organizations that find solutions to formidable data challenges will be better positioned to economically benefit from the fruits of digital innovation. The big idea behind big data analytics is fairly clear-cut: Find interesting patterns hidden in large amounts of data, train machine learning models to spot those patterns, and implement those models into production to automatically act upon them. However, the reality of putting that basic recipe into production is a lot harder than it looks.


10 Big Data Trends to Watch in 2019

#artificialintelligence

We seek ever more data for a good reason: it's the commodity that fuels digital innovation. However, turning those huge data collections into actionable insight remains a difficult proposition. Organizations that find solutions to formidable data challenges will be better positioned to economically benefit from the fruits of digital innovation. The big idea behind big data analytics is fairly clear-cut: Find interesting patterns hidden in large amounts of data, train machine learning models to spot those patterns, and implement those models into production to automatically act upon them. However, the reality of putting that basic recipe into production is a lot harder than it looks.


Amazon builds vest for workers to protect them from robots

The Independent

Amazon has developed a piece of wearable technology for its workers that will protect them from robot-related accidents. The Robotic Tech Vest is designed for Amazon employees working in warehouse fulfilment centres alongside autonomous robots. Featuring built-in sensors, the electronic belt provides warning alerts to nearby robots to inform them of a worker's presence. Its deployment across more than 25 Amazon sites follows incidents in which workers were injured as a result of a robot's actions. In December, 24 Amazon workers at a warehouse in New Jersey were hospitalised after a robot reportedly punctured a can of bear repellent.