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2022 military hardware to remember

FOX News

Rep. Rob Wittman, R-Va., joins'Fox News Live' to react to the United States Air Force's unveiling of its new B-21 raider stealth bomber, named'The Raider' for Jimmy Doolittle's famous bombing raid on Japan in WW2. With the launch of the Air Force's hypersonic missile off the coast of California earlier this month, the Navy's development of water-based drones over the summer and the recent unveiling of the B-21 Raiders, the U.S. military has made major technological advancements over the past year. The military unveiled the U.S. Air Force B-21 Raider in Palmdale, California. The B-21 Raider is the first new American bomber aircraft in more than three decades. In an email to Fox News Digital, a spokesperson confirmed the Air Force would transition its three-bomber fleet to a two-bomber fleet of B-21s and modernized B-52s.


The Future of Artificial Intelligence: 10 Companies, 10 Predictions

#artificialintelligence

In this article, we discuss the future of artificial intelligence, including 10 predictions about 10 companies. The future of artificial intelligence (AI) is a topic of much speculation and debate. Some experts believe that AI has the potential to revolutionize many aspects of society and industry, while others are more cautious about its potential impact. The artificial intelligence sector is thriving across the globe. AI-enabled tools, like smarter chat-bots for customer service and robots for self-service at banks, are gaining traction in the mainstream.


Fears about artificial intelligence are overblown

#artificialintelligence

Artificial intelligence, or AI, has the potential to revolutionize many aspects of our society, but it also has the potential to be harmful. As AI becomes more advanced and widespread, it raises ethical concerns about how it will impact jobs, privacy and inequality. Overall, it is important to carefully consider the potential drawbacks of AI and take steps to mitigate them. Would it surprise you if I said that the above paragraph was written entirely by AI? It's true -- using the newish AI called ChatGPT, I typed in the following query: "Write me an opening paragraph about the dangers of artificial intelligence." ChatGPT was developed by OpenAI, a startup founded in part by Big Tech mogul Elon Musk.


My journey to learn deep learning

#artificialintelligence

As the final year of college approached, my friends and I, all electronics engineering students at Sudan University of Science and Technology, found ourselves struggling to come up with ideas for our graduation project. One day, while sitting in what we called "Jabnah" a version of a local cafe here is a picture of what it looks like I suggested using deep learning for malaria detection. My friends were skeptical, as we knew nothing about either deep learning or malaria. But I was determined to learn and proposed that we take an online course on deep learning. The course was challenging, but I was determined to succeed.


Ukraine Says Repelled Russia Nighttime Drone Attack

International Business Times

Ukraine said Friday it repelled a nighttime drone attack from Russia, a day after Moscow launched a new wave of missile strikes in the run-up to New Year celebrations. The attacks came 10 months into Moscow's invasion of Ukraine. In recent months Russian strikes have targeted the energy grid, leaving millions in the cold in the middle of winter. Ukraine's air force said on Friday morning that Russia attacked Ukraine overnight using "Iranian-made kamikaze drones". A total of 16 drones were launched from the southeastern and northern directions and they were "all" destroyed by Ukraine's air defence, it said.


Artificial Intelligence in Oil & Gas Market Research Report by Function, Component, Application, Region - Global Forecast to 2027 - Cumulative Impact of COVID-19

#artificialintelligence

Market Statistics: The report provides market sizing and forecast across 7 major currencies - USD, EUR, JPY, GBP, AUD, CAD, and CHF. It helps organization leaders make better decisions when currency exchange data is readily available. In this report, the years 2018 and 2020 are considered as historical years, 2021 as the base year, 2022 as the estimated year, and years from 2023 to 2027 are considered as the forecast period. Market Segmentation & Coverage: This research report categorizes the Artificial Intelligence in Oil & Gas to forecast the revenues and analyze the trends in each of the following sub-markets: Based on Function, the market was studied across Field Services, Material Movement, Predictive Maintenance & Machine Inspection, Production Planning, Quality Control, and Reclamation. Based on Component, the market was studied across Hardware, Services, and Software.


12 Sci-Fi Stories to Help Make Sense of the Climate, Risk, and Our Digital Lives

Slate

Five years ago, Future Tense Fiction started publishing a short science-fiction story each month. Our goal was simple: to give people more tools to imagine our future through tales that inspire us to weigh reasons for concern against excitement, caution against exploration. More than 60 stories later--plus accompanying response essays and art--we've covered mobility and A.I. ethics, space exploration and biometric surveillance, gig work and military tech, gender and the relationships between humans and animals … and much more. The stories serve as both alarm clocks and lighthouses, waking us up to challenges stemming from scientific and technological change and guiding us toward possible ways forward. They are written by authors and journalists, but also by researchers, doctors, and policymakers, from the U.S. and elsewhere (Hong Kong, Norway, Mexico, Sri Lanka, and Nigeria, to name a few).


Artificial intelligence in 2022: the AIhub roundup

AIHub

It's been another interesting year in the world of artificial intelligence. We've seen large language models grow even larger, conferences returning to physical events, a raft of new policy developments, and machine learning techniques applied across the arts. Buckle up and join us for the ride as we review the year just gone. Research into both fundamental and applied aspects of artificial intelligence and machine learning continues apace. Yue Ma and colleagues used machine-learning techniques to identify antimicrobial peptides encoded by the genome sequences of microbes in the human gut.


Wealth Redistribution and Mutual Aid: Comparison using Equivalent/Nonequivalent Exchange Models of Econophysics

arXiv.org Artificial Intelligence

Given the wealth inequality worldwide, there is an urgent need to identify the mode of wealth exchange through which it arises. To address the research gap regarding models that combine equivalent exchange and redistribution, this study compares an equivalent market exchange with redistribution based on power centers and a nonequivalent exchange with mutual aid using the Polanyi, Graeber, and Karatani modes of exchange. Two new exchange models based on multi-agent interactions are reconstructed following an econophysics approach for evaluating the Gini index (inequality) and total exchange (economic flow). Exchange simulations indicate that the evaluation parameter of the total exchange divided by the Gini index can be expressed by the same saturated curvilinear approximate equation using the wealth transfer rate and time period of redistribution and the surplus contribution rate of the wealthy and the saving rate. However, considering the coercion of taxes and its associated costs and independence based on the morality of mutual aid, a nonequivalent exchange without return obligation is preferred. This is oriented toward Graeber's baseline communism and Karatani's mode of exchange D, with implications for alternatives to the capitalist economy.


Adapting the Exploration Rate for Value-of-Information-Based Reinforcement Learning

arXiv.org Artificial Intelligence

In this paper, we consider the problem of adjusting the exploration rate when using value-of-information-based exploration. We do this by converting the value-of-information optimization into a problem of finding equilibria of a flow for a changing exploration rate. We then develop an efficient path-following scheme for converging to these equilibria and hence uncovering optimal action-selection policies. Under this scheme, the exploration rate is automatically adapted according to the agent's experiences. Global convergence is theoretically assured. We first evaluate our exploration-rate adaptation on the Nintendo GameBoy games Centipede and Millipede. We demonstrate aspects of the search process, like that it yields a hierarchy of state abstractions. We also show that our approach returns better policies in fewer episodes than conventional search strategies relying on heuristic, annealing-based exploration-rate adjustments. We then illustrate that these trends hold for deep, value-of-information-based agents that learn to play ten simple games and over forty more complicated games for the Nintendo GameBoy system. Performance either near or well above the level of human play is observed.