Collaborating Authors

Leading the Intelligent Enterprise


"The AI & Machine Learning Imperative" offers new insights from leading academics and practitioners in data science and artificial intelligence.

Artificial Intelligence In Marketing Industry 2020-2027


Artificial Intelligence in Marketing Industry 2020 Global Market Analysis report gives the In-depth analysis of historical data along with size, share, …

Digital Twins Proliferate as Smart Way to Test Tech - Air Force Magazine


Faced with a congressional mandate to test its GPS system for cyber vulnerabilities, the Air Force commissioned a digital replica of the satellites and then asked contractors to hack the system. The use of "digital twins" is expanding from modelling in conventional simulators to include testing of emerging technologies and systems, predicting engine performance, or training automated systems to fly a plane. With GPS, Booz Allen Hamilton built the SatSim twin for Lockheed Martin's Block IIR GPS satellite for the Air Force Space and Missile Systems Center (SMC), in El Segundo, Calif. "The satellite itself was on orbit," BAH Vice President Kevin Coggins told Air Force Magazine. "So we built this digital model … and then we went looking for vulnerabilities. We did [penetration] testing and we saw what we could discover."

Google and Harvard release COVID-19 prediction models


In partnership with the Harvard Global Health Institute, Google today released the COVID-19 Public Forecasts, a set of models that provide projections of COVID-19 cases, deaths, ICU utilization, ventilator availability, and other metrics over the next 14 days for U.S. counties and states. The models are trained on public data such as those from Johns Hopkins University, Descartes Labs, and the United States Census Bureau, and Google says they'll continue to be updated with guidance from its collaborators at Harvard. The COVID-19 Public Forecasts are intended to serve as a resource for first responders in health care, the public sector, and other affected organizations preparing for what lies ahead, Google says. They allow for targeted testing and public health interventions on a county-by-county basis, in theory enhancing the ability of those who use them to respond to the rapidly evolving COVID-19 pandemic. For example, health care providers could incorporate the forecasted number of cases as a datapoint in resource planning for PPE, staffing, and scheduling.

Investing in Analytics for the Decade Ahead - DATAVERSITY


Click to learn more about author Sri Raghavan. In our new reality of hyper-disruption, rapid innovation, and evolving consumer expectations, it's imperative that companies invest in data and analytics to stay competitive as data-driven decisions become the new normal. Furthermore, advanced, automated technologies, such as artificial intelligence and machine learning, the cloud, and 5G continue to emerge and evolve, disrupting traditional business models while swiftly reshaping the business landscape. Though it's imperative for every company to adapt to successfully operate as new industry standards become the new norm, it's essential to invest in the future. Adopting a forward-thinking mindset -- considering five to ten years down the line -- will enable companies of all sizes to prepare for new technologies that may help them compete alongside the next decade of winning enterprises.

Google smart speakers secretly updated to listen for more than wake words


Google Home smart speakers, the company dryly warns in a note buried deep on a support page, can "incorrectly" record their users even when they haven't first said an activating wake phrase like "hey, Google." It just so happens that, at least for a brief period of time this summer, those microphone-enabled devices were doing exactly that. The company admitted Monday, following a report by Protocol, that it had updated an unspecified number of Google Assistant-enabled devices to respond to auditory cues beyond the user-specified wake phrase. Google told Protocol this was a mistake that was quickly fixed, but did not appear to address the larger privacy concerns that such a mistake signifies. After all, how are users supposed to trust a live microphone in their home if someone can remotely update it to be even more invasive without their knowledge?

Massachusetts not tracking coronavirus outbreaks in schools even as health officials say they're 'inevitable'

Boston Herald

The state said it has no formal reporting process for tracking coronavirus outbreaks that have already cropped up in summer school programs, leaving teachers unions wondering how health officials plan to prevent outbreaks considered "inevitable" in the fall. "We are not formally tracking them, but we are trying to notice them as they pop up," said Department of Elementary and Secondary Education spokeswoman Jacqueline Reis. "There is no formal reporting process for schools." Reis said the DESE is still finalizing its guidance as schools shore up their plans for remote, in-person or hybrid learning once classes resume in September. "It's absurd and it's stunning but its also not a surprise," said Merrie Najimy, who leads the Massachusetts Teachers Association.

AI Model Mimics Brain Neurons to Reduce Energy Costs


Deployed for AI, e-prop would require only 20 watts, approximately one-millionth the energy a supercomputer uses. Artificial intelligence models continue to grow in sophistication and complexity, adding to the need for more data, computation, and energy. To help combat increasing energy costs, researchers at TU Graz's Institute of Theoretical Computer Science have developed a new algorithm, called e-propagation (e-prop for short). E-prop mimics how neurons send electrical impulses to other neurons in our brain, which massively reduces the amount of energy human brains use, in comparison to machine learning. Deployed for AI, e-prop would require only 20 watts, approximately one-millionth the energy a supercomputer uses.

Virtual house hunting gets a pandemic boost

BBC News

Temporarily forgetting she is sitting beside me, I shout to my wife: "I'm in the children's bedroom." We can't go to the Republic of Ireland ourselves to do this. Travellers from Great Britain need to restrict their movements for a fortnight, so nipping over and back is off the cards. But I can take several paces through a virtual seaside flat in Dublin's Dún Laoghaire, while based in our south London home. Circles appear on the floor of the Dublin flat and, using hand controls, I can glide between them and explore.

How to Build a Machine Learning Model


How to Build a Machine Learning Model A Visual Guide to Learning Data Science Jul 25 · 13 min read Learning data science may seem intimidating but it doesn't have to be that way. Let's make learning data science fun and easy. So the challenge is how do we exactly make learning data science both fun and easy? Cartoons are fun and since "a picture is worth a thousand words", so why not make a cartoon about data science? With that goal in mind, I've set out to doodle on my iPad the elements that are required for building a machine learning model.