Collaborating Authors

Congress Is Eyeing Face Recognition, and Companies Want a Say


Microsoft and IBM sent congratulatory public messages to president-elect Joe Biden this month. Both expressed hope that his administration would ease the nation's political divisions, and suggested it consider crafting the first federal rules governing face recognition. "When it comes to issues such as safeguards for facial recognition, we have no national law at all," Microsoft president Brad Smith wrote. "We need new laws fit for the future." IBM CEO Arvind Krishna told Biden his company was "ready to work with you" on prohibiting use of the technology for "mass surveillance, racial profiling, or violations of basic human rights and freedoms."

Yardroid, a smart landscaping robot that can automate gardening work


Gardening has some wonderful therapeutic and mental health benefits for many people, but there are still some garden-related jobs that are very troublesome. As a result, the Yardroid robot was designed to solve this problem. There are already quite a few serial models of robotic lawn mowers and separate robots for removing weeds from the lawn, but each of them performs only one specialized task; therefore, several devices are needed to automate the main work on garden maintenance. Whereas, Yardroid is a robot gardener with artificial intelligence, capable of trimming grass, watering lawns, and warning of the appearance of strangers. It rolls along on track and resembles a mini-tank. The front section carries the turret with a 1-liter water gun, camera, and LED gun light mounted in a fully stabilized gimbal.

Radical AI podcast: featuring Ryan Calo


Hosted by Dylan Doyle-Burke and Jessie J Smith, Radical AI is a podcast featuring the voices of the future in the field of artificial intelligence ethics. In this episode Jess and Dylan chat to Ryan Calo about robot regulation. What is robot regulation and why does it matter? To answer this question we welcome to the show Ryan Calo. Ryan is a professor at the University of Washington School of Law.

Using AI To Identify Your Best Customers In The Future


Using AI to boost sales is not a new idea. In fact, back in 2017, the Harvard Business Review did an extensive story about one sales office of motorcycle maker Harley Davidson that was able to increase sales from two bikes per week to 15 per weekend using AI-powered marketing support. If predictive analytics increased sales leads by 3,000 percent back in 2017, what's it doing for businesses now? AI and predictive analytics are still making an impact for businesses in terms of identifying customer trends, building customer profiles, and constructing tighter potential target audiences. However, it's also doing a lot more, both in terms of how it's able to gather data and how it's able to use it to offer customers the personalization they want and need.

AI: Do the Right Thing


The application of emerging technologies such as AI, cloud, blockchain and IoT in financial services has altered the traditional operating models of financial institutions, the competitive dynamics of the industry, the role of people in those institutions and the landscape of the financial system as a whole. In fact, AI is positioned as an essential investment, with the World Economic Forum arguing how it is set to become central to the fabric of financial institutions. While the adoption of AI in financial services may be in its infancy, the use cases are ever growing. From recommending loan and credit offerings to detecting fraud, 94% of financial services in European and Middle Eastern markets believe that AI will disrupt their business. The direction and the awareness of AI is clear but it is essential that companies invest now, as if done too hastily, the process is marred by pitfalls.

How to create a chatbot in Python


Today we will talk about how to create a chatbot with Python. Natural language processing (NLP) is one of the most promising fields of artificial intelligence that uses natural languages to enable human interactions with machines. There are two main approaches to NLP: – rule-based methods, – statistical methods, i.e., methods related to machine learning. There are several exciting Python libraries for NLP, such as Natural Language Toolkit (NLTK), spaCy, TextBlob, etc. A chatbot is a computer software able to interact with humans using a natural language. They usually rely on machine learning, especially on NLP.

Gatik raises $22.5 million for autonomous short-haul delivery trucks


Gatik, a startup developing an autonomous vehicle stack for B2B short-haul logistics, today closed a $22.5 million series A financing round. The company also announced it will bring a fleet of self-driving vans to Canada as part of a deal with Loblaw, the country's largest retailer with over 200,000 employees. Some experts predict the pandemic will hasten the adoption of autonomous vehicles for delivery. Self-driving cars, vans, and trucks promise to minimize the risk of spreading disease because they inherently limit driver contact. This is particularly true with regard to short-haul freight, which is experiencing a spike in volume during the outbreak.

An analysis of models on facial emotion detection


Facial emotion detection is a common issue focused on in the field of cognitive science. An attempt to understand what exactly we as humans see in each other that gives us insight into other emotions is a challenge we can approach from an artificial intelligence side. While I don't have enough experience in psychology or even artificial intelligence to determine these factors, we can always start off by building a model to determine at least the start of this question. Fer2013 is a dataset with pictures of individuals labeled with the emotions of anger, happiness, surprise, disgust, and sadness. When testing humans on the dataset to correctly identify the facial expression of a set of pictures within the set, the accuracy is 65%.

Briefly Noted Book Reviews

The New Yorker

Philosophers have long debated the nature of consciousness. This probing study takes an evolutionary approach, examining "experience in general" not only in humans but in much of the animal kingdom. Animals, it argues, developed consciousness gradually, through such biological innovations as centralized nervous systems and the ability to distinguish one's actions from external forces, which have given rise to "varieties of subjectivity." The author is crisp on a subject notorious for abstraction, dissecting fuzzy philosophical metaphors and weaving in lively descriptions of the octopuses, whale sharks, and banded shrimp he observes on scuba dives off the coasts of Australia. Born in 1797 in Düsseldorf, then under Napoleonic occupation, Heine remained a committed liberal even as Germany turned inward after the Congress of Vienna.

There Is No Such Thing as a Neutral Terminator


When I first processed the news that Ron Howard was directing a feature adaptation of Hillbilly Elegy, J.D. Vance's 2016 memoir, I made it my personal mission to see the movie. Given the book's reputation, I was expecting a sensitive portrait of Appalachia that drew from Vance's childhood memories to offer insights into the lives of the white working class. Instead, I was faced with perhaps the most catastrophically misguided work of pop sociology ever committed to film. I didn't even make it to the hour mark before I had to shut everything down in disgust, because 49 minutes into the movie, Mamaw (Glenn Close), the fierce but tender matriarch of the Vance family, offers young J.D. the following advice: Everyone in this world is one of three kinds: a good Terminator, a bad Terminator, or neutral. I have always known that coastal elites like Howard look on some groups of Americans with incomprehension, fear, and even hatred.