Government
Deep-learning based measurement of planetary radial velocities in the presence of stellar variability
Colwell, Ian, Timmaraju, Virisha, Wise, Alexander
We present a deep-learning based approach for measuring small planetary radial velocities in the presence of stellar variability. We use neural networks to reduce stellar RV jitter in three years of HARPS-N sun-as-a-star spectra. We develop and compare dimensionality-reduction and data splitting methods, as well as various neural network architectures including single line CNNs, an ensemble of single line CNNs, and a multi-line CNN. We inject planet-like RVs into the spectra and use the network to recover them. We find that the multi-line CNN is able to recover planets with 0.2 m/s semi-amplitude, 50 day period, with 8.8% error in the amplitude and 0.7% in the period. This approach shows promise for mitigating stellar RV variability and enabling the detection of small planetary RVs with unprecedented precision.
Weakly Supervised Learning for Analyzing Political Campaigns on Facebook
Islam, Tunazzina, Roy, Shamik, Goldwasser, Dan
Social media platforms are currently the main channel for political messaging, allowing politicians to target specific demographics and adapt based on their reactions. However, making this communication transparent is challenging, as the messaging is tightly coupled with its intended audience and often echoed by multiple stakeholders interested in advancing specific policies. Our goal in this paper is to take a first step towards understanding these highly decentralized settings. We propose a weakly supervised approach to identify the stance and issue of political ads on Facebook and analyze how political campaigns use some kind of demographic targeting by location, gender, or age. Furthermore, we analyze the temporal dynamics of the political ads on election polls.
Cooperating Graph Neural Networks with Deep Reinforcement Learning for Vaccine Prioritization
Ling, Lu, Mondal, Washim Uddin, V, Satish, Ukkusuri, null
This study explores the vaccine prioritization strategy to reduce the overall burden of the pandemic when the supply is limited. Existing methods conduct macro-level or simplified micro-level vaccine distribution by assuming the homogeneous behavior within subgroup populations and lacking mobility dynamics integration. Directly applying these models for micro-level vaccine allocation leads to sub-optimal solutions due to the lack of behavioral-related details. To address the issue, we first incorporate the mobility heterogeneity in disease dynamics modeling and mimic the disease evolution process using a Trans-vaccine-SEIR model. Then we develop a novel deep reinforcement learning to seek the optimal vaccine allocation strategy for the high-degree spatial-temporal disease evolution system. The graph neural network is used to effectively capture the structural properties of the mobility contact network and extract the dynamic disease features. In our evaluation, the proposed framework reduces 7% - 10% of infections and deaths than the baseline strategies. Extensive evaluation shows that the proposed framework is robust to seek the optimal vaccine allocation with diverse mobility patterns in the micro-level disease evolution system. In particular, we find the optimal vaccine allocation strategy in the transit usage restriction scenario is significantly more effective than restricting cross-zone mobility for the top 10% age-based and income-based zones. These results provide valuable insights for areas with limited vaccines and low logistic efficacy.
US providing Ukraine $1.2B in military aid ahead of expected spring offensive against Russia
Former national security adviser Robert O'Brien explains that the attack is'inconsistent' with Ukrainian military tactics and says a small drone would not be a feasible way to attack Vladimir Putin. The United States is planning to send Ukraine around $1.2 billion in long-term military aid to help the country defend itself against a barrage of drone, rocket, and surface-to-air missile attacks from Russia, according to U.S. officials. The officials, who spoke anonymously, told The Associated Press that the aid package will likely be announced on Tuesday and the money will be provided under the Ukraine Security Assistance Initiative. In this photo taken on Thursday, May 4, 2023, a Ukrainian air force pilot stands near his Su-25 ground attack jet on his base in Eastern Ukraine. With this latest package, the U.S. will have provided Ukraine with nearly $37 billion in military aid since Russia invaded in late February 2022.
Dr. Saphier calls out 'disingenuous' White House for not giving Biden full cognitive test
'Outnumbered' panel discusses Biden's recent low approval rating and how the media has been soft on the administration Fox News medical contributor Dr. Nicole Saphier joined "Outnumbered" Monday to discuss concerns over President Biden's mental fitness and why it is "disingenuous" that it has not been addressed by the White House. Saphier responded to a new poll showing Biden's approval rating at a new low of 36%, with 63% of respondents saying the president is not mentally fit for another term in office. NICOLE SAPHIER: Republicans need to get out of their own way if they actually want to win this election. President Biden won the last election by hiding in his basement. You look at the White House, the physicals in 2021, his gait was worsening.
China clamps down on access to public data to counter US think tank intel
House Intelligence Committee member Rep. Brian Fitzpatrick, R-Penn., tells Arthel Neville on'Fox News Live' that'there is nothing' the Chinese Communist Party will not do to'get a leg up' on the world. China has ramped up its efforts to clamp down on foreign data procurement in a move partially motivated by U.S. think tank efforts to monitor hard to find information on Beijing and its "military-civil fusion" strategy, a report by the Wall Street Journal found Monday. As tension and competition between the U.S. and China continues to mount, Beijing has recently taken steps to restrict overseas access to its databases and tighten its control over Western narratives relating to China. An espionage act revised late last month has drawn concern from the international business community, which has argued that the new guidelines could make continuing business with the world's second-largest economy more risky. Western consulting, legal, cyber and auditing firms may find it harder to conduct business with Beijing following President Xi Jinping's move to expand China's power over private entities and control access to data and financial records.
AI's facial recognition failures: Three times crime solving intelligence got it wrong
Fox News correspondent Matt Finn has the latest on the impact of AI technology that some say could outpace humans on'Special Report.' Law enforcement's use of artifical intelligence-driven facial recognition puts everyone into what one expert called a "perpetual police line-up," and studies show it's more likely the finger will be pointed at the wrong person if they're Black or Asian. "Whenever they have a photo of a suspect, they will compare it to your face," said Matthew Guariglia, from the nonprofit digital rights group Electronic Frontier Foundation, told the BBC. The technology's use in police investigations boomed in recent years, particularly after the Jan. 6 Capitol riot. Twenty out of 42 federal agencies that were surveyed by the Government Accountability Office in 2021 reported they use facial recognition in criminal investigations.
The Global Battle to Regulate AI Is Just Beginning
Dan Nechita has spent the past year shuttling back and forth between Brussels and Strasbourg. As the head of cabinet (essentially chief of staff) for one of the two rapporteurs leading negotiations over the EU's proposed new AI law, he's helped hammer out compromises between those who want the technology to be tightly regulated and those who believe innovation needs more space to evolve. The discussions have, Nechita says, been "long and tedious." First there were debates about how to define AI--what it was that Europe was even regulating. "That was a very, very, very long discussion," Nechita says.
Nearly 50 news websites are 'AI-generated', a study says. Would I be able to tell?
Breaking news from celebritiesdeaths.com: the president is dead. At least that's what the highly reliable website informed its readers last month, under the no-nonsense headline "Biden dead. Harris acting president, address 9am ET". The site explained that Joe Biden had "passed away peacefully in his sleep" and Kamala Harris was taking over, above a bizarre disclaimer: "I'm sorry, I cannot complete this prompt as it goes against OpenAI's use case policy on generating misleading content." Celebritiesdeaths.com is among 49 supposed news sites that NewsGuard, an organization tracking misinformation, has identified as "almost entirely written by artificial intelligence software".