Collaborating Authors


CMU's Roborace Team Prepares for First Competition

CMU School of Computer Science

An autonomous car programmed by a Carnegie Mellon University student team will race for the first time Sept. 24-25 when Roborace, an international competition for autonomous vehicles (AVs), begins its season on the island of Anglesey in Wales. In Roborace, each team prepares their own artificial intelligence algorithms to control their race car, but all of the teams use identically prepared AVs, compute platforms and venues. To prepare for this month's race, the CMU team spent the summer working on the fundamentals of driving and on building an optimal driving path. But this week was the first time they had the chance to run their computer code on a hardware simulator. "Our minimum goal is to be able to get the car to start driving crash-free for now," said Anirudh Koul, an alumnus of the Language Technologies Institute's Master of Computational Data Science (MCDS) program and the team's coach. But the CMU team, the first U.S. team in Roborace, is confident that it will soon be competitive with other teams that have previous experience in the racing series.

Fossils: Doctor Who actor Tom Baker honoured by scientists who name a trilobite after him

Daily Mail - Science & tech

As Doctor Who, Tom Baker fought Daleks and Cybermen, robot mummies and gothic monsters -- but his latest'creature feature' has taken the form of an accolade. Australian palaeontologists have named a newly-found species of trilobite -- a segmented sea creature from 450 million years ago -- in honour of the actor. Trilobites loosely resemble woodlice -- and their closest living relatives include lobsters, crabs and scorpions. They fell extinct around 251.9 million years ago. The fossil -- 'Gravicalymene bakeri' -- was found preserved in shale rocks in Northern Tasmania that date back to the so-called'Late Ordovician' period.

Registration Open for FREE Webinar: 'Detecting Fraud with Hybrid AI' (October 28, 2020)


In collaboration with BigML partner, INFORM Gmbh, we're pleased to bring the BigML community a new educational webinar: Machine Learning Fights Financial Crime. This FREE virtual event will take place on October 28, 2020, at 8:00 AM PDT / 9:00 AM PDT and it's the ideal learning opportunity for Financial institutions, banking sector professionals, credit professionals, risk advisers, crime fighters, fraud professionals, and anyone interested in finding out about the latest financial crime-fighting and risk analysis strategies and trends. Financial institutions must innovate to stop the onslaught of fraudulent transactions. The utilization of Machine Learning as a tool for fraud detection is trending. Combining Machine Learning with existing intelligent and dynamic rule sets produces a sustainable strategy to address this challenge.



Not all skin (or skincare) is created equal. One of the biggest challenges facing skincare consumers today is finding products that work for them--their unique skin type and the unique challenges they face with their skin. And, you won't find it on Google. The one-size-fits-all approach that most skincare and beauty companies take just doesn't deliver the unique skincare solutions consumers need to get their healthiest complexion. This doesn't give individuals the personalization they need.

How Artificial Intelligence Transforms the Experience in Museums? - Ridzeal


Artificial Intelligence is transforming the world in multiple ways. The technology is used not only in the corporates. But it is being used in a wide range of other fields as well, like healthcare and agriculture as well. Artificial Intelligence business solutions could be utilized to enhance the experience, be it the customer experience that the company offers to the customers or the hospitality experience offered by the hotels etc. AI has a pivotal role to play in the enrichment of the experience in the museums. In this article, we will talk about that in detail. When it comes to digitalization, Artificial Intelligence has a major role to play.

This is how AI could feed the world's hungry while sustaining the planet


Artificial Intelligence is transforming the world at a rapid and accelerating pace, offering huge potential, but also posing social and economic challenges. Human beings are naturally fearful of machines – this is a constant. Technological advancements tend to outpace cultural shifts. It has taken the shock of a global pandemic to accelerate the uptake of many technologies that have been around for at least a decade. Unsurprisingly, much of the public discussion on AI has focused on recent controversies around facial recognition, automated decision-making and exam algorithms.

Adobe's Liquid Mode Leverages AI to Reformat PDFs for Mobile Devices


Emergent Insight: On August 13, 2020 Emergent Enterprise posted an article about the incredibly poor UX of the PDF file. Perhaps Adobe has provided some relief with a new AI-fueled tool that reformats PDF files for better readability on mobile devices and presumably other formats such as AR & VR. Kyle Wiggers explains Liquid Mode from Adobe in this post at VentureBeat and how it might make life easier for all of us who swipe, scroll, pinch and zoom PDF files. Perhaps the most striking statistic here is that 65% find PDF files frustrating. And yet we throw them at our audiences with regularity.

A Fully Connected Disconnect


One of the fundamental building blocks in deep learning is the use of one or more fully connected dense "hidden" layers. This typically takes the form of the primary layer type throughout the network or as the final layer(s) in the more novel neural network architectures. This fully connected layer consists of all the input elements connecting to all of the processing units (aka neurons) in the hidden layer. All of the input elements are then processed by all of the processing units in that layer. My observation of this topology is that although this method is clearly effective it doesn't appear to be very efficient.

BMF CEO John Kawola on 3D printing parts smaller than a human hair


Ever since I was a boy, I was fascinated by the idea of miniaturization. I read Isaac Asimov's Fantastic Voyage and then, when I finally got my hands on the movie, I probably watched it a dozen times. The premise was that a team of scientists were miniaturized to the point where they could be injected into a person and perform surgery from the inside. Another movie with a similar premise was InnerSpace, starring the incredibly well-matched team of Martin Short and Dennis Quaid. There was the whole Honey, I Shrunk the Kids series of movies and TV shows, and I ate them up as well.