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Who is KD1, the bald eagle spotted in Jackie and Shadow's nest?

Popular Science

Environment Animals Wildlife Birds Who is KD1, the bald eagle spotted in Jackie and Shadow's nest? We'll learn more when nesting season starts on September 1. 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. Breakthroughs, discoveries, and DIY tips sent six days a week. 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 .


Jackie the bald eagle dead at 14

Popular Science

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. Breakthroughs, discoveries, and DIY tips sent six days a week. 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 . Jackie, a bald eagle with a devoted internet following, died early in the morning on August 10 in Ojai, California, while in the care of the Ojai Raptor Center. She was 14 years old.


Jackie the bald eagle is 'unstable'

Popular Science

Environment Animals Wildlife Birds Jackie the bald eagle is'unstable' 'Her overall condition remains extremely serious.' 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. Jackie and her longtime partner Shadow pictured in their nest earlier in 2026. Breakthroughs, discoveries, and DIY tips sent six days a week. 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 .


Outside eagle spotted on Jackie and Shadow's nest

Popular Science

Environment Animals Wildlife Birds Outside eagle spotted on Jackie and Shadow's nest 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. During the off season, visitors will stop by the nest from time to time. Breakthroughs, discoveries, and DIY tips sent six days a week. 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 . While internet-famous bald eagle dad Shadow doesn't have to care for eaglets Sandy and Luna around the clock these days, he still swung by his habitat yesterday.


Bald eaglets Sandy and Luna leave Big Bear Valley, Shadow gets a little vacation

Popular Science

The Ojai Raptor Center also provided an update on mom Jackie. 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. Sandy and Luna on July 23, the last day they were spotted on the popular livestream. Breakthroughs, discoveries, and DIY tips sent six days a week. 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 .


Walking in the Shadow: A New Perspective on Descent Directions for Constrained Minimization

Neural Information Processing Systems

Descent directions such as movement towards Frank-Wolfe vertices, away steps, in-face away steps and pairwise directions have been an important design consideration in conditional gradient descent (CGD) variants. In this work, we attempt to demystify the impact of movement in these directions towards attaining constrained minimizers. The best local direction of descent is the directional derivative of the projection of the gradient, which we refer to as the shadow of the gradient. We show that the continuous-time dynamics of moving in the shadow are equivalent to those of PGD however non-trivial to discretize. By projecting gradients in PGD, one not only ensures feasibility but also is able to wrap around the convex region.


Unanimity by Alexandra Almeida

#artificialintelligence

Readers will delight in the gradual reveal of both the technology within the story and the dramatic history between many of those involved with the creation and evolution of that technology. Tom, a screenwriter, works with Harry, the genius inventor of the world's most popular AI (artificial intelligence) app, to create a simulation that will nudge people toward acting morally. This virtual world consists of multiple layers, each focusing on a different psychological alignment depending on the needs of the person using the program. A lower level, much like Hell, exposes people to horrors and cruelty, while some upper levels focus on order and happiness. The project becomes more complex when they upload the entire consciousness of people, creating virtual immortality.


Reinforcement Learning for Robotic Manipulation using Simulated Locomotion Demonstrations

arXiv.org Artificial Intelligence

Learning robot manipulation policies through reinforcement learning (RL) with only sparse rewards is still considered a largely unsolved problem. Although learning with human demonstrations can make the training process more sample efficient, the demonstrations are often expensive to obtain, and their benefits heavily depend on the expertise of the demonstrators. In this paper we propose a novel approach for learning complex robot manipulation tasks with self-learned demonstrations. We note that a robot manipulation task can be interpreted, from the object's perspective, as a locomotion task. In a virtual world, the object might be able to learn how to move from its initial position to the final target position on its own, without being manipulated. Although objects cannot move on their own in the real world, a policy to achieve object locomotion can be learned through physically-realistic simulators, which are nowadays widely available and routinely adopted to train RL systems. The resulting object-level trajectories are called Simulated Locomotion Demonstrations (SLD). The SLDs are then leveraged to learn the robot manipulation policy through deep RL using only sparse rewards. We thoroughly evaluate the proposed approach on 13 tasks of increasing complexity, and demonstrate that our framework can result in faster learning rates and achieve higher success rate compared to alternative algorithms. We demonstrate that SLDs are especially beneficial for complex tasks like multi-object stacking and non-rigid object manipulation.


Video games are a 'great equalizer' for people with disabilities

USATODAY - Tech Top Stories

Erin Hawley doesn't care if she wins or loses, but with adaptive controllers, she and so many other disabled gamers are able to play the game. Gaming has been a huge part of Erin Hawley's life since she started playing Atari as a little girl. When the Keyport, New Jersey-based, 35-year-old digital content producer for the Easterseals charity gets off work, she gets right on her computer or Xbox and often keeps going until it's time for bed. Hawley is a fan of shooter titles such as "Overwatch" and "Half-Life," but she'll play adventure games, puzzles, almost anything. She's also a regular on the Amazon-owned Twitch live streaming platform.


What's on TV: 'Shadow of the Tomb Raider' and 'Bojack Horseman'

Engadget

The NFL is back in action, and along with it we have a slew of fall TV shows returning. That includes bingeable (it's a word) options on Netflix, Amazon and Hulu like Bojack Horseman season five, The First, Forever and American Vandal season two. For gamers, the standard edition of NBA 2K19 is here, plus the latest Tomb Raider game, while Blu-ray fans can get Oceans 8 or Batman: The Killing Joke on 4K Blu-ray. Look after the break to check out each day's highlights, including trailers and let us know what you think (or what we missed). Richard's been tech-obsessed since first laying hands on an Atari joystick.