Neural Information Processing Systems http://nips.cc/

New deep fakes are all over the internet -- and you won't believe the new ones Raymond Arroyo has located. The trial has begun of a Democratic political consultant who has admitted to sending artificial intelligence (AI) generated robocalls mimicking President Biden ahead of the 2024 New Hampshire primary. Steve Kramer faces a 6 million fine and more than two dozen criminal charges after he hired a magician to create a deepfake of President Biden urging New Hampshire voters not to participate in the primary. The fines, proposed by the Federal Communications Commission (FCC), are the first involving AI technology. Former president Joe Biden speaks on the phone during a National Small Business Week event in the Rose Garden of the White House in Washington, DC, on May 1, 2023, left.

The aviation industry has always been a first mover in adopting technological advancements. This early adoption offers valuable insights because of its stringent regulations and safety - critical procedures. As a result, the aviation industry provides an optimal platform to counter AI vulnerabilities through its tight regulation s, standardization processes, and certification of new technologies . Keywords: AI in aviation; aviation safety; standardization; certifiable AI; regulations 2 Introduction The aviation industry has always been a trailblazer in embracing innovation, constantly driving safer air travel through various technological revolutions from the early days of pioneer flights to the modern era. T he latest frontier lies in the rise of arti ficial intelligence (AI) and it s potential to reshape aviation in extraordinary ways from pre - flight arrangements to in - flight operations and analyze post - flight data . In real - time, AI - powered assistants in cockpits can analyze vast amounts of data to alert pilots of changing weather conditions and determine optimal flight routes . Moreover, AI can vastly improve business intelligence by predicting and mitigating potential delays, reducing congestion, and ensuring smoother operations and safety . As AI continues to develop, the policy landscape on its role and application will evolve. In 1956, computer science researchers across the United States gathered at Dartmouth College in New Hampshire to discuss the formative concepts and ideas on a new branch of computing pegged artificial intelligence. The end goal of this gathering was to advance AI to the point that human assistance and intervention was no longer needed to perform a task. The evolution of AI since this meeting has resulted in decades of research and investment in the AI ecosystem -- a group of AI systems which are linked togethe r to achieve common goals .

Reconstructing a 3D scene from images is challenging due to the different ways light interacts with surfaces depending on the viewer's position and the surface's material. In classical computer graphics, materials can be classified as diffuse or specular, interacting with light differently. The standard 3D Gaussian Splatting model struggles to represent view-dependent content, since it cannot differentiate an object within the scene from the light interacting with its specular surfaces, which produce highlights or reflections. In this paper, we propose to extend the 3D Gaussian Splatting model by introducing an additional symmetric matrix to enhance the opacity representation of each 3D Gaussian. This improvement allows certain Gaussians to be suppressed based on the viewer's perspective, resulting in a more accurate representation of view-dependent reflections and specular highlights without compromising the scene's integrity. By allowing the opacity to be view dependent, our enhanced model achieves state-of-the-art performance on Mip-Nerf, Tanks&Temples, Deep Blending, and Nerf-Synthetic datasets without a significant loss in rendering speed, achieving >60FPS, and only incurring a minimal increase in memory used.

Days after New Hampshire voters received a robocall with an artificially generated voice that resembled President Joe Biden's, the Federal Communications Commission banned the use of AI-generated voices in robocalls. The 2024 United States election would be the first to unfold amid wide public access to AI generators, which let people create images, audio and video – some for nefarious purposes. Institutions rushed to limit AI-enabled misdeeds. Sixteen states enacted legislation around AI's use in elections and campaigns; many of these states required disclaimers in synthetic media published close to an election. The Election Assistance Commission, a federal agency supporting election administrators, published an "AI toolkit" with tips election officials could use to communicate about elections in an age of fabricated information.

Background and aims: Colonoscopy screening is an effective method to find and remove colon polyps before they can develop into colorectal cancer (CRC). Current follow-up recommendations, as outlined by the U.S. Multi-Society Task Force for individuals found to have polyps, primarily rely on histopathological characteristics, neglecting other significant CRC risk factors. Moreover, the considerable variability in colorectal polyp characterization among pathologists poses challenges in effective colonoscopy follow-up or surveillance. The evolution of digital pathology and recent advancements in deep learning provide a unique opportunity to investigate the added benefits of including the additional medical record information and automatic processing of pathology slides using computer vision techniques in the calculation of future CRC risk. Methods: Leveraging the New Hampshire Colonoscopy Registry's extensive dataset, many with longitudinal colonoscopy follow-up information, we adapted our recently developed transformerbased model for histopathology image analysis in 5-year CRC risk prediction. Additionally, we investigated various multimodal fusion techniques, combining medical record information with deep learning derived risk estimates. Results: Our findings reveal that training a transformer model to predict intermediate clinical variables contributes to enhancing 5-year CRC risk prediction performance, with an AUC of 0.630 comparing to direct prediction (AUC = 0.615, p = 0.013). Furthermore, the fusion of imaging and nonimaging features, while not requiring manual inspection of microscopy images, demonstrates improved predictive capabilities (AUC = 0.674) for 5-year CRC risk comparing to variables extracted from colonoscopy procedure and microscopy findings (AUC = 0.655, p = 0.001). Conclusion: This study signifies the potential of integrating diverse data sources and advanced computational techniques in transforming the accuracy and effectiveness of future CRC risk assessments.

Neural Information Processing Systems http://nips.cc/

Recent text-to-speech (TTS) developments have made voice cloning (VC) more realistic, affordable, and easily accessible. This has given rise to many potential abuses of this technology, including Joe Biden's New Hampshire deepfake robocall. Several methodologies have been proposed to detect such clones. However, these methodologies have been trained and evaluated on relatively clean databases. Recently, ASVspoof 5 Challenge introduced a new crowd-sourced database of diverse acoustic conditions including various spoofing attacks and codec conditions. This paper is our submission to the ASVspoof 5 Challenge and aims to investigate the performance of Audio Spoof Detection, trained using data augmentation through laundering attacks, on the ASVSpoof 5 database. The results demonstrate that our system performs worst on A18, A19, A20, A26, and A30 spoofing attacks and in the codec and compression conditions of C08, C09, and C10.

The Federal Communications Commission (FCC) has officially issued its full recommended fine against political consultant Steve Kramer. This is after he initiated a series of robocalls to New Hampshire residents with pre-recorded audio of President Biden's voice, using deepfake AI technology. The fake Biden told voters not to vote in the upcoming primary, saying "Your vote makes a difference in November, not this Tuesday." Kramer must pay 6 million in fines in the next 30 days or the Department of Justice will handle collection, according to a FCC statement. Kramer doesn't just face a fine; he also has criminal charges against him.

Brandon Allinger, COO of Prop Store and Treasure Hunter, told Fox News Digital he came across the hat Harrison Ford wore in'Indiana Jones and the Temple of Doom' when researching a different item. A pair of video game designers created a real-life, real-time treasure hunt in the Northeast with a hefty reward for the lucky individual who finds the unique treasure. The game is called Project Skydrop, and players compete against one another to locate a 24-karat gold sculpture valued at 26,000. "This treasure hunt is a prototype, just experimenting to see if people like it, if people like the format," Project Skydrop co-creator Jason Rohrer told Boston 25 News. The game started Sept. 19 and will end on Oct. 10.