Per the Official Rules, any type of bottle counts – but each bottle should only be counted once. (For example, the bottle in the car John Cena drinks from is present multiple different times, but it should only be counted once towards the tally.) … First, we need a dataset of images from the ad. In this case, we can grab the exact video file of the commercial. We’ll need to split the video file into individual image frames in order to annotate the images and train a model.
Today, Elektra Labs and Carnegie Mellon University researchers announced collaboration on an innovative IoT labeling system for understanding the data rights and security practices of connected health sensors.
Both organizations have published previous analysis regarding, and recommendations for use of, such a labeling system. As part of their collaboration, researchers from Carnegie Mellon University’s CyLab have contributed their research on an IoT Privacy and Security label as a blueprint, while Elektra Labs is incorporating its own published “tech nutrition label” recommendations as well.
Elektra Labs is excited to integrate the work of this collaboration into its proprietary, searchable catalog of 1000+ biosensors, called Atlas, which is currently the most comprehensive objective source of information on connected health sensors available.
Newswise, University of Texas Health Science Center at Houston
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A $4 million subcontract grant for scientists to collect COVID-19 data from virus researchers across the country in order to develop a data coordinating center has been awarded to researchers at The University of Texas Health Science Center at Houston (UTHealth) School of Biomedical Informatics.
The $4 million subcontract grant is part of a $23 million grant awarded to the University of California San Diego (UC San Diego), led by Lucila Ohno-Machado, MD, PhD, and Eliah Aronoff-Spencer, MD, PhD, at UC San Diego.
Case Western Reserve University computer scientists and energy technology experts are teaming up to leverage the diagnostic power of artificial intelligence (AI) to make solar-power plants more efficient. The work, funded by a three-year, $750,000 grant from the U.S. Department of Energy (DOE), is part of a broad $130 million solar-technologies initiative announced by the DOE in 2020—including $7.3 million specifically for machine-learning solutions and other AI for solar applications.
Google’s decision to kill off third-party cookies has already elicited multiple antitrust lawsuits and a U.S. congressional probe. Now, its attempt to replace the cookie is attracting regulatory attention.
On Jan. 8, the U.K.’s Competition and Markets Authority launched an investigation into whether Google’s proposals for replacing third-party cookies — through an effort Google has branded Privacy Sandbox — “could cause advertising spend to become even more concentrated on Google’s ecosystem at the expense of its competitors,” according to a CMA announcement about the investigation.
Under pressure from governments and consumers over data privacy infringement concerns, Google a year ago said it will disable third-party cookies by 2022 in its Chrome browser, which is used by more than 60% of the world’s web users. The move will effectively disable a primary way that ads are targeted and content is personalized on publishers’ sites. By extension, it could compromise publishers’ abilities to make money from online advertising and push people, their data and — along with them — ad dollars further within the walls of Google’s already dominant properties, according to ad tech and publishing executives
You walk into your closet and you see…a mess. But what if you saw dollars? Clair AI, a new image recognition tool powered by machine learning from the luxury reseller Rebag, can now generate instant quotes for all of your handbags.
Every so often a new application that bills itself as the Shazam of fashion emerges, but Clair AI—as in artificial intelligence—is something different. Charles Gorra, Rebag’s CEO and the driving force behind the new technology, says, “It’s easy enough to build a tool where you take a picture and it feeds back a few things that look like it. What we do has to be much more accurate. We’re giving a firm price of what we’re paying.”
The way it works: After downloading the Rebag app from any app store, you snap a photo of the bag you’re thinking about selling with your camera phone, and Clair AI produces a handful of search results. You choose a match and the tool generates a price. “It’s fully immediate. You get the price and if you like the price, you’re done,” says Gorra. Rebag can’t send a drone to pick up the bag from your apartment—not yet. But it’s a streamlined process: “You print your shipping label, the bag is in the box, and you haven’t interacted with anyone to make it happen.”
Data and data-driven technologies are playing an increasingly influential role in health care, helping to detect disease earlier, move care closer to home, encourage health-promoting behaviours, and improve the efficiency of service delivery. Although data-driven technologies have potential for good, they can also exacerbate existing health inequalities, which are deep-rooted and have been laid bare during the COVID-19 pandemic. In this Comment, we examine how structural inequalities, biases, and racism in society are easily encoded in datasets and in the application of data science, and how this practice can reinforce existing social injustices and health inequalities. Approaching the problem from the perspective of data scientists, we follow the stages in an analytical pipeline to consider how and where things can go wrong. We then outline the essential role of data scientists in tackling racism and discrimination.
The Square Kilometre Array has been a dream of radio astronomers for nearly 3 decades. Today, the project officially becomes the Square Kilometre Array Observatory (SKAO). Last month, a treaty ratified by six of the project’s member governments came into force. The project’s governing council—with delegates from the six ratifying nations and 10 others as observers—meets (virtually) for the first time and conjures the SKAO into existence.
The aim is to build the world’s biggest radio observatory, originally envisioned as having 1 square kilometer of collecting area. With such a photon-gathering potential, the telescope could see the universe’s very first stars and galaxies, study the effects of cosmic magnetism and gravity, and listen for the signs of alien civilizations.
The €2 billion project is split across two sites: 130,000 wire antennas in the Western Australian desert to collect low-frequency signals, and 130 dishes in South Africa for higher frequencies, which will be added to that country’s existing 64-dish MeerKAT array.
When surgeons remove cancer, one of the first questions is, “Did they get it all?” Researchers from Rice University and the University of Texas MD Anderson Cancer Center have created a new microscope that can quickly and inexpensively image large tissue sections, potentially during surgery, to find the answer.
The microscope can rapidly image relatively thick pieces of tissue with cellular resolution, and could allow surgeons to inspect the margins of tumors within minutes of their removal. It was created by engineers and applied physicists at Rice and is described in a study published in the Proceedings of the National Academy of Sciences.
This article analyses 30,000 unique Data Science blog posts from the last year to get to the bottom of what the Data Science community has been discussing. This post looks at the most discussed — and most popular — technologies of the year.
The study, published today in Nature Communications, assessed the effectiveness of the Spanish DCT app, Radar COVID, following a 4-week experiment conducted in the Canary Islands, Spain between June-July 2020.
For the experiment, funded by the Secretary of State of Digitalisation and Artificial Intelligence (SEDIA), the researchers simulated a series of Covid infections in the capital of La Gomera, San Sebastián de la Gomera, to understand whether the Radar COVID app technology could work in a real-world environment to contain a Covid-19 outbreak.
They found that over 30 per cent of the population adopted the technology and it was able to detect around 6.3 close-contacts per infected individual, which was over two times higher than the national average detected using manual contact tracing alone.
The arm of global inequality is long, rendering itself visible particularly in the development of AI and machine learning systems. In a recent paper, researchers at Cornell, the Universite de Montreal, the National Institute of Statistical Sciences (U.S.), and Princeton argue that this inequality in the AI industry involves a concentration of profits and raises the danger of ignoring the contexts to which AI is applied.
As AI systems become increasingly ingrained in society, they said, those responsible for developing and implementing such systems stand to profit to a large extent. And if these players are predominantly located in economic powerhouses like the U.S., China, and the E.U., a disproportionate share of economic benefit will fall inside of these regions, exacerbating the inequality.
Robot coffee shop using off-the-shelf equipment to customize their menu faster and offer a large variety of drinks at a lower price than other robot coffee shops.
“The Emerging Tech Grant is designed to fund women-led ventures focused on solving the biggest problems facing this world.” Deadline for submissions is February 19.
