Colin Madland, a white doctoral student, said the Twitter preview of a photo he posted of himself with a Black colleague was cropped down to only his face, CBS reported. Tony Arcieri, a programmer, also posted a telling demonstration of how the algorithm was behaving -- posting an image that included former President Barack Obama and U.S. Sen. Mitch McConnell side by side. Twitter's cropping tool narrowed down to McConnell and cropped out Obama even when Arcieri tried altering the original image, CBS reported. The artificial intelligence isn't necessarily biased, experts say, but the technology appears to be "reflecting and amplifying historical patterns of discrimination" created by humans, said Sarah Myers West, who studies artificial intelligence bias at New York University, CBS reported.

The Central Intelligence Agency announced Monday the launch of its first-ever federal lab, a new internal organization that will allow its officers to obtain patents and licenses for intellectual property they create while working at the agency. The new office, called CIA Labs, will be an in-house research and development office through which the spy agency will develop the future technology it needs for intelligence collection for national security, while also helping U.S. economic security, according to Dawn Meyerriecks, head of CIA's Directorate of Science and Technology, in an agency press release. In a speech last week at the Intelligence and National Security Summit, Meyerriecks listed several broad areas where the agency has intellectual property that could "change the conversation" around key emerging technologies. She listed 5G, battery technology, augmented and virtual reality, artificial intelligence and machine learning, computation, geospatial information representation, navigation, and analytics as areas of focus. "It's an endless list that we collectively own, but the world desperately needs," Meyerriecks said.

AI algorithms namely machine learning and deep learning algorithms are powerful tools. However, they suffer from some limitations which require that human analytics should work with AI tools collaboratively. In this post, we will look at the most important shortcoming of Artificial Intelligence in the cybersecurity domain. Though Benefits are more, AI also comprises limits [4]. Cybercriminals are creative and come up with new ways to conduct cyberattacks.

NASA spotted pieces of asteroid Vesta ranging in size from five to 14 feet scattered across Bennu's southern hemisphere and near its center. The boulders were detected in images from the OSIRIS-Rex and appear much brighter than the surrounding area of dark, rich carbon. The team analyzed the chunks using an on-board spectrometer and found signs of the mineral pyroxene - a known compound on Vesta. NASA theorizes the material came from Bennu's parent asteroid that was struck by a fragment from Vesta. NASA spotted pieces of asteroid Vesta ranging in size from five to 14 feet scattered across Bennu's southern hemisphere and near its center. Hannah Kaplan of NASA's Goddard Space Flight Center in Greenbelt, Maryland, said: 'Our leading hypothesis is that Bennu inherited this material from its parent asteroid after a vestoid (a fragment from Vesta) struck the parent.'

In this tutorial, I will take the example Aadhaar card for document verification as Aadhaar is accepted everywhere in the country. Every document has some unique features which make it different from others Aadhaar has these unique features -: 1. Emblem 2. GOVERNMENT OF INDIA [GOI] Symbol 3. QR Code 4. Design of Aadhaar So, it's now our choice on which features we want to train our Machine Learning model. I chose Emblem, GOI Symbol, Aadhaar Card, as earlier versions of Aadhaar had a barcode instead of a QR code, so I decided to omit it out because I wanted my model to be robust and efficient at the same time. These features make the Aadhaar card distinguishable from other documents and help in validating whether the submitted document is an Aadhaar or not. To verify a document first it needs to be processed as it may contain noise and that can affect the validation process, so in this case image will be processed first and noise will be eliminated using Gaussian Noise Filter or any other suitable noise removal filter can be used, it all depends on the quality of input data.

Artificial intelligence, machine learning and unmanned systems are enabling surface and undersea activities even while COVID-19 hampers the ability to put humans on ships, maritime leaders said during a webinar on Sept. 17. Retired Rear Adm. Tim Gallaudet, deputy administrator of the National Oceanic and Atmospheric Administration and the former Oceanographer of the Navy, said COVID has put ship deployments on hold for months, but the agency has leveraged autonomous systems to keep the work going. For instance, NOAA sent Sail Drones to Alaska to perform a critical fishery survey and for coastal mapping. "We were able to map in pretty shallow areas that would have been hazardous for ships," Gallaudet said in the webinar, hosted by the Marine Technology Society's Washington section and the company Oceaneering. NOAA was also able to use underwater gliders to measure water temperatures, which helped accurately predict the track of Hurricane Laura.

Artificial Intelligence and Automation should be used in cyber threat detection to increase security, efficiency and help organizations be pro-active, helping them see the threats in advance and keep their infrastructure and data safe. As organizations dwell into smarter and innovative products, they are dependent on critical data which is under constant threat. A breach of critical data can put the organization and its customers at serious risk. A combination of AI and Automation can be leveraged to counter these threats and provide insight into obscure and malicious activity on systems, networks, and infrastructure. In 2017, the average number of breached records by country was 24,089.

Google's Area 120 incubator today launched Tables, a work-tracking tool with IFTTT-like automation features and support for Google products, including Google Groups, Google Sheets, and more. Currently in beta in the U.S., Tables automates actions like collating data, checking multiple sources of data, and pasting data into other docs for handoff. "Tracking work with existing tech solutions meant building a custom in-house solution or purchasing an off-the-shelf product, but these options are time-consuming, inflexible, and expensive," Tables general manager Tim Gleason explained in a blog post. "Tables helps teams track work and automate tasks to save time and supercharge collaboration -- without any coding required." Using Tables, teams can program bots to schedule recurring email reminders when tasks are overdue, message a Slack or Google Chat room when new form submissions are received, or move a task to someone else's work queue when the status changes.

UNESCOs Member States have announced there has been'major progress' in the development of a global normative instrument for the ethics of artificial intelligence (AI). In November 2019, the United Nations secretary-general Antonio Guterres congratulated the organisation for taking up this challenge, declaring that AI is a critical frontier issue for the whole UN system and the whole world. In March this year, UNESCO asked 24 experts with multidisciplinary experience in the ethics of artificial intelligence to develop a draft recommendation on the ethics of AI. UNESCO then launched a wide process of consultations to obtain the many points of view of stakeholders. This involved experts from 155 countries, members of the public (through a global online survey), United Nations agencies, major stakeholders from the sector such as Google, Facebook and Microsoft, and the world of academe with the University of Stanford and the Chinese Academy of Sciences.

FedEx Corp. is looking at using small self-flying cargo planes to serve remote areas after experimenting with a technology startup on autonomous aircraft, said Chief Executive Officer Fred Smith. The effort builds on the courier's work with Silicon Valley's Reliable Robotics, which was founded by veterans of Elon Musk's Space Exploration Technologies Corp. With approval from the U.S. Federal Aviation Administration, Reliable Robotics demonstrated in June a fully automated remote landing of a Cessna 208 Caravan turboprop owned by FedEx. "This initiative deals with small turboprop airplanes and in this particular case the single-engine C208, which we're looking at putting in very remote and uninhabited areas as part of our network," Smith said Monday at FedEx's annual shareholder meeting. FedEx pilots shouldn't be concerned about robots stealing their jobs -- for now.