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Congress's deepening interest in deepfakes

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Congress is closing the year by taking significant yet unheralded early steps to legislate on “deepfakes,” false yet highly realistic artificial intelligence (AI)-created media like a recent satirical video of President Trump
In quick succession in December, Congress sent two bills to the president, the National Defense Authorization (NDAA) for FY 2021 and the IOGAN Act. They would require, respectively, the Department of Homeland Security (DHS), the Department of Defense (DOD), and the National Science Foundation (NSF) to issue reports on and bolster research into deepfakes, which are sometimes known by other names like “machine-manipulated media,” “synthetic media,” or “digital content forgeries.” These bills ask for recommendations that could lay the predicate for federal regulations of such media. ....

New York , United States , Department Of Homeland Security , National Institute Of Standards , National Defense Authorization , Department Of Defense , Outputs Of Generative Adversarial Networks , National Intelligence , National Science Foundation , Homeland Security , Armed Forces , Identifying Outputs , Generative Adversarial Networks , National Institute , புதியது யார்க் , ஒன்றுபட்டது மாநிலங்களில் , துறை ஆஃப் தாயகம் பாதுகாப்பு , தேசிய நிறுவனம் ஆஃப் தரநிலைகள் , தேசிய பாதுகாப்பு அங்கீகாரம் , துறை ஆஃப் பாதுகாப்பு , தேசிய உளவுத்துறை , தேசிய அறிவியல் அடித்தளம் , தாயகம் பாதுகாப்பு , ஆயுதம் படைகள் , தேசிய நிறுவனம் ,

"Efficient AutoGAN: Predicting the rewards in reinforcement-based neura" by Yi Fan, Xiulian Tang et al.

Publication Details
Fan, Y., Tang, X., Zhou, G. & Shen, J. (2020). Efficient AutoGAN: Predicting the rewards in reinforcement-based neural architecture search for Generative Adversarial Networks. IEEE Transactions on Cognitive and Developmental Systems, online first 1-13.
Abstract
This paper is inspired by human’s memory and recognition process to improve Neural Architecture Search (NAS), which has shown novelty and significance in the design of Generative Adversarial Networks (GAN), but the extremely enormous time consumption for searching GAN architectures based on reinforcement learning (RL) limits its applicability to a great extent. The main reason behind the challenge is that, the performance evaluation of sub-networks during the search process takes too much time. To solve this problem, we propose a new algorithm, EfficientAutoGAN, in which a Graph Convolution Network (GCN) predictor is introduced to predict the performance of sub-networks instead of formally ....

Graph Convolution Network , Generative Adversarial Networks , Neural Architecture Search , நரம்பியல் கட்டிடக்கலை தேடல் ,

Artificial Intelligence sets sights on the Sun-Mis-aisa-The latest News,Tech,Industry,Environment,Low Carbon,Resource,Innovations.

Artificial Intelligence sets sights on the Sun-Mis-aisa-The latest News,Tech,Industry,Environment,Low Carbon,Resource,Innovations.
mis-asia.com - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from mis-asia.com Daily Mail and Mail on Sunday newspapers.

Samarskaya Oblast , Tatiana Podladchikova , Danielk Inouye , Galileo Galilei , Robert Jarolim , University Of Graz , Environmental Research , Solar Physics Research Integrated Network Group , Generative Adversarial Networks , Skoltech Space Center , Skolkovo Institute Of Science , Technology Skoltech , Solar Observatory , Skolkovo Institute , Free Pixabay , Solar Dynamics Observatory , Solar Telescope , Parker Solar Probe , Solar Orbiter , European Solar Telescope , கலிலியோ கலிலீ , பல்கலைக்கழகம் ஆஃப் க்ர்யாஸ் , சுற்றுச்சூழல் ஆராய்ச்சி , சூரிய இயற்பியல் ஆராய்ச்சி ஒருங்கிணைந்த வலைப்பின்னல் குழு , சூரிய கண்காணிப்பு , சூரிய இயக்கவியல் கண்காணிப்பு ,

Artificial intelligence sets sights on the sun

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VIDEO: Observation series of a day with varying atmospheric conditions. Low-quality observations are shown in yellow and high-quality observations in blue. High-quality observations can be seen in the gaps between transitioning.
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Credit: R. Jarolim et al. / Astronomy&Astrophysics
Scientists from the University of Graz and the Kanzelhöhe Solar Observatory (Austria) and their colleagues from the Skolkovo Institute of Science and Technology (Skoltech) developed a new method based on deep learning for stable classification and quantification of image quality in ground-based full-disk solar images. The research results were published in the journal
Astronomy & Astrophysics and are available in open access. ....

Samarskaya Oblast , Tatiana Podladchikova , Danielk Inouye , Galileo Galilei , Robert Jarolim , University Of Graz , Environmental Research , Solar Physics Research Integrated Network Group , Generative Adversarial Networks , Skoltech Space Center , Skolkovo Institute Of Science , Technology Skoltech , Solar Observatory , Skolkovo Institute , Solar Dynamics Observatory , Solar Telescope , Parker Solar Probe , Solar Orbiter , European Solar Telescope , கலிலியோ கலிலீ , பல்கலைக்கழகம் ஆஃப் க்ர்யாஸ் , சுற்றுச்சூழல் ஆராய்ச்சி , சூரிய இயற்பியல் ஆராய்ச்சி ஒருங்கிணைந்த வலைப்பின்னல் குழு , சூரிய கண்காணிப்பு , சூரிய இயக்கவியல் கண்காணிப்பு , சூரிய தொலைநோக்கி ,

Researchers use machine learning to develop more accurate COVID-19 diagnostic tool

Researchers use machine learning to develop more accurate COVID-19 diagnostic tool
techxplore.com - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from techxplore.com Daily Mail and Mail on Sunday newspapers.

Sumeet Menon , University Of Maryland , Generative Adversarial Networks , Baltimore County , Mean Teacher , Transfer Generative Adversarial Networks , Generating Realistic , Transfer Learning , சுமீட் மேனன் , பல்கலைக்கழகம் ஆஃப் மேரிலாந்து , பால்டிமோர் கவுண்டி , சராசரி ஆசிரியர் , ஜெநரேடிஂக் ரியலிஸ்டிக் , பரிமாற்றம் கற்றல் ,