Back to School Mashable's Best: E-readers, robovacs, laptops, earbuds, smart home and more Mashable Selects Say More Look Up Trending Now Good Connection: Uplifting stories for a digital age Creator Playbook Switch Off Mashable Voices Safety Net Versus All Series The perfect time to restock Darn Tough socks, get a Garmin inReach, and an REI tent. Lauren Allain is a freelance journalist covering deals at Mashable. She graduated from Western Washington University with a B.A. in journalism and holds an M.B.A from Webster Leiden. You can find more of her work online from publications including Reader's Digest, U.S. News & World Report, Seattle Refined, and more. When she's not writing, Lauren prefers to be outside hiking, bouldering, swimming, or searching for the perfect location for all three.

Gear Amazon's Labor Day sale has 98 deals worth your time (including the lowest price ever on Sony WH-1000XM5 headphones) Amazon has dropped prices across the board on everything from outdoor gear and kitchen gadgets to home electronics and more. More information Adding us as a Preferred Source in Google by using this link indicates that you would like to see more of our content in Google News results. We may earn revenue from the products available on this page and participate in affiliate programs. By signing up, you confirm you are 16+, will receive newsletters and promotional content and agree to our Terms of Use and acknowledge the data practices in our Privacy Policy . Labor Day is when retailers clear out what didn't sell over the summer, so the shape of Amazon's version is predictable: coolers, grills, back-to-school monitors, and a wall of air fryers.

Data Flows and Colonial Regimes in Africa: A Critical Analysis of the Colonial Futurities Embedded in AI Recommendation Algorithms Angella Ndaka, University of Witwatersrand, Johannesburg, South Africa Fátima Ávila - Acosta, Berlin Graduate School of Social Sciences at Humboldt University, Berlin, Germany Harnred Mbula, Centre for Epistemic Justice, Nairobi, Kenya Christine Amera, Centre for Epistemic Justice, Nairobi Kenya Sandra Tiyani Chauke University of Pretoria, South Africa Eucabeth Majiwa Jomo Kenyatta University of Agriculture and Technology, Nairobi, Kenya Abstract In the last few years, Africa has experienced growth in a thriving ecosystem of Artificial Intelligence (AI) technologies and systems, developed and promoted by both local and global technology players. While the sociotechnical imaginaries about these syst ems promote AI as critical to achiev ing Africa's sustainable development agenda, some of them have subtly permeated society, recreating new values, cultures, practices, and histories that threaten to marginalize minority groups in the region. Africa predominantly frames AI as an imaginary solution to address complex social challenges; however, the narrative subtly ignores deeper power - related concerns, including data governance, embedded algorithmic colonialism, and the exploitation that propag ates new digital colonial sites. However, the development of current AI ethics in Africa is in its infancy and predominantly framed through lenses of Western perspective, with the social and ethical impacts of the AI innovations and application on African epistemologies and worldviews not prioritized. To ensure that people on the African continent leverage the benefits of AI, these social and ethical impacts o f AI need to be critically and explicitly considered and addressed. This chapter will therefore seek to frame the elemental and invisible problems of AI and big data in the African context by examining digital sites and infrastructure through the lens of power and interests. It will present reflections on how these sites are using AI recommendation algorithms to recreate new digital societies in the region, how they have the potential to propagate algorithmic colonialism and negative gender norms, and what this means for the regional sustainable development agenda. The chapter proposes adopting business models that embrace response - ability and consider the existence of alternative socio - material worlds of AI. These reflections will mainly come from ongoing discussions with Kenyan social media users in this author's user space talks, which take place every month. Keywords: Artificial Intelligence; algorithmic colonialism; Data; response - ability; digital sites Section 1: Introduction The growing global interest, combined with rising investments in AI skilling and infrastructure development, is a key driver of the expanding landscape of AI technologies and systems across Africa.

It's the job that puts the average 9–5 to shame. But while being an astronaut is a career many dream of, you might wonder how well it pays. Compared to office workers – who may complain about their commute – these highly–trained individuals are regularly launched into space at 17,500mph. While Earth-based employees might not rate their office canteen or grumble about the lack of toilets in the workplace, astronauts live off dehydrated food packets and must use specially–designed bathrooms. So you'd be forgiven for thinking that astronauts get paid a hefty wage for their daredevil profession.

In this paper we present the results of an evaluation study of the perfor-mance of LLMs on Technical Language Processing tasks. Humans are often confronted with tasks in which they have to gather information from dispar-ate sources and require making sense of large bodies of text. These tasks can be significantly complex for humans and often require deep study including rereading portions of a text. Towards simplifying the task of gathering in-formation we evaluated LLMs with chat interfaces for their ability to provide answers to standard questions that a human can be expected to answer based on their reading of a body of text. The body of text under study is Title 47 of the United States Code of Federal Regulations (CFR) which describes regula-tions for commercial telecommunications as governed by the Federal Com-munications Commission (FCC). This has been a body of text of interest be-cause our larger research concerns the issue of making sense of information related to Wireless Spectrum Governance and usage in an automated manner to support Dynamic Spectrum Access. The information concerning this wireless spectrum domain is found in many disparate sources, with Title 47 of the CFR being just one of many. Using a range of LLMs and providing the required CFR text as context we were able to quantify the performance of those LLMs on the specific task of answering the questions below.

Schwan Park, father of speed cuber Max Park, 21, tells Fox News Digital the story of his son's record-breaking achievement with Rubik's Cube: "We always knew he was good," he said. A mom of a child with autism is assuring other parents that their autistic children "do not need to be fixed" -- rather, they need to be better understood. Kelley Coleman, author of the upcoming book, "Everything No One Tells You About Parenting a Disabled Child," is encouraging other parents not to be afraid of seeking out diagnoses. "All that will do is keep us from being able to enable our children to be the best version of themselves," the Los Angeles-based mother of two said in an interview with Fox News Digital. Coleman's comments come as documented cases of autism spectrum disorder (ASD) have been on the rise.

The AI-generated song, "Heart On my Sleeve," serves as a great example of the issue, according to Coleman. "It sounds remarkably like [Drake], but it's not his lyrics," the AI educator told Fox News. Coleman, who's experimented with AI since about 2017 in his role as a gaming developer, said he believed the AI software that produced the song "was trained potentially" on Drake's voice. "Everything about the labeling of it online says this was an AI song made using Drake's likeness," Coleman told Fox News. Rapper Drake performs on Dec. 9, 2022 in Atlanta, Georgia.

An AI art lecturer said he believes the U.S. government would encounter difficulty if it attempted to establish a watermark system for AI-generated content. The U.S. will likely have a tough time trying to regulate AI-generated content, such as requiring watermarks on computer-made media, a university art lecturer told Fox News. "[F]or us to enforce it would be a lot more difficult," Tyler Coleman, who teaches University of Texas classes focused on AI, said. "I think it will be harder to achieve in the U.S. than it would be in China." China's government announced regulations in December 2022 requiring any AI-generated content to include a flag such as a watermark to indicate its origin.

The financial services sector has long been criticized as being insulated, elitist, and discriminatory. Will artificial intelligence finally open up and "democratize" this industry? It's likely, and will happen a number of ways – by empowering customers, by opening up services to underserved communities, and by increasing the breadth of capabilities companies can offer. While still in the minority, a growing number of financial services executives are bringing in AI as a part of their customer experiences and operations. About half of 500 executives (48%) responding to a survey conducted by Economist Impact and SAS in March 2022 identified advanced data analytics as among the most important technologies to harness, and 34% specifically cited AI and machine learning as their paths to the future.

The financial services sector has long been criticized as being insulated, elitist, and discriminatory. Will artificial intelligence finally open up and "democratize" this industry? It's likely, and will happen a number of ways – by empowering customers, by opening up services to underserved communities, and by increasing the breadth of capabilities companies can offer. While still in the minority, a growing number of financial services executives are bringing in AI as a part of their customer experiences and operations. About half of 500 executives (48%) responding to a survey conducted by Economist Impact and SAS in March 2022 identified advanced data analytics as among the most important technologies to harness, and 34% specifically cited AI and machine learning as their paths to the future.