In this work, we consider the problem of intersectional group fairness in the classification setting, where the objective is to learn discrimination-free models in the presence of several intersecting sensitive groups. First, we illustrate various shortcomings of existing fairness measures commonly used to capture intersectional fairness. Then, we propose a new definition called the $\alpha$-Intersectional Fairness, which combines the absolute and the relative performance across sensitive groups and can be seen as a generalization of the notion of differential fairness. We highlight several desirable properties of the proposed definition and analyze its relation to other fairness measures. Finally, we benchmark multiple popular in-processing fair machine learning approaches using our new fairness definition and show that they do not achieve any improvement over a simple baseline. Our results reveal that the increase in fairness measured by previous definitions hides a "leveling down" effect, i.e., degrading the best performance over groups rather than improving the worst one.

David Blumberg is the Founder and Managing Partner of Blumberg Capital. He has decades of experience in early stage technology investing. The economic crisis caused by Covid-19 forced organizations to grapple with an entirely new set of challenges. And while no business was -- or is -- immune, the burden fell disproportionately on startups and small businesses. A massive shift to remote work, layoffs and budget cuts predictably caused major disruptions.

I've been to dozens of retail-related conferences in the past year, most of which were attended by retailers, brands and early-growth companies seeking to gain traction in the retail ecosystem. Over the year, I've seen a continuous increase in the number of AI-driven technologies and companies showcasing solutions for retailers. I've also observed growing interest in these innovations among retailers. Because as multichannel retailers continue to fight age-old problems such as inaccurate inventory, stockouts and overstocks, overstretched and undertrained store associates, and suboptimal pricing, advances in AI targeting these problems are proving their ROI. AI, or machine intelligence, is human-like or intelligent behavior exhibited by computers and machines that are "trained" by data to make autonomous decisions.

I've been to dozens of retail-related conferences in the past year, most of which were attended by retailers, brands and early-growth companies seeking to gain traction in the retail ecosystem. Over the year, I've seen a continuous increase in the number of AI-driven technologies and companies showcasing solutions for retailers. I've also observed growing interest in these innovations among retailers. Because as multichannel retailers continue to fight age-old problems such as inaccurate inventory, stockouts and overstocks, overstretched and undertrained store associates, and suboptimal pricing, advances in AI targeting these problems are proving their ROI. AI, or machine intelligence, is human-like or intelligent behavior exhibited by computers and machines that are "trained" by data to make autonomous decisions.

Roku is launching its own pair of wireless speakers for the living room. They're aimed at casual TV and movie watchers who want better audio, without the headache of having to install a complicated home audio system. However, you'll have to own a Roku TV in order for the wireless speakers to work. Roku is launching its own pair of wireless speakers for the living room. However, you'll have to own a Roku TV in order for the wireless speakers to work Roku on Monday launched its first pair wireless speakers.

"Digitizing" store shelves is a new imperative for Coca-Cola and other CPG companies. In the face of changing consumer behavior and the new retail playbook scripted by Amazon, CPG brands have raced to hop on the "digitization" bandwagon to erase the advantage e-commerce has over brick-and-mortar retail. Now add this area to their get-even list: store shelves. For decades, CPG companies like Coca-Cola have conducted manual audits and surveys to see if, how and where stores stock their goods on shelves, as well as find out if their goods are next to rivals' products and if any out-of-stock items have been replenished. Thanks to technology, this old-school and time-consuming process, prone to human errors, is increasingly being dropped as CPG brands seek to bridge the gap between what they can see in stores and online.

Artificial intelligence (AI) and machine learning (ML) are changing the world. These technologies make computer programs "smart" by helping them to: These technologies have already become a mainstay in our personal lives. Devices that connect our homes, cars, workouts and much more to the Internet deliver fast, easy access to the information we want, when we want it. But how can small businesses take advantage of them? One of SMB Group's Top 10 Technology Trends for 2017 was "The Rise of Smart Apps For SMBs.." We discussed the fact that while these consumer oriented use cases are getting most of the attention, vendors were starting to put AI and ML to work to develop smart apps to help small businesses.

Human-level cognition (most uniquely characterized by our abilities to use language) should be seen as a superset of functional and behavioral capabilities shared by lower life-forms including animals and insects, and this perspective ought to principally guide our strategies for developing integrated cognitive architectures. Just as the study of biological model organisms has led to tremendous advances in our scientific knowledge of genetics and cellular function, the study of embodied cognition in simple agent-environment simulations can yield similar advances in Cognitive Science, Artificial Intelligence, and Robotics. By working first on the foundations of intelligent interaction with one’s environment, and by focusing on core functions such as predictive and inductive learning, probabilistic goal-directed behavior compilation, and empathetic reasoning, we can better establish the grounding that the physical symbol system hypothesis assumes (Newell and Simon 1976), yet often without explicit demonstration of a mechanism to derive symbolic relations and semantics from raw sensory data. Logic and language are seen to emerge from our willingness to make discrete simplifying assumptions in a continuous and probabilistic world of experience, and developing a Standard Model of the Mind can help build much-needed bridges between historically non-aligned research communities.

TheCorpora S.L. is a robotics and artificial intelligence company based in Barcelona, Spain. Founded 10 years ago when the company recognized a market opportunity to create low cost, open source interactive robots, Q.bo was the team's first product. Developed and built from scratch, Q.bo has now been shipped to hundreds of customers, including a number of universities and multinational technology companies. Q.bo's success as a research platform has been driving the team to design the next generation product. Based on input through the Internet of Things and feedback from user experiences, TheCorpora team is getting closer to achieving their goal to produce a mass marketable product in the near future.

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