Lifeboat Foundation

SpaceX says it has revised plans for its next-generation Starlink Gen2 constellation to allow the upgraded satellites to launch on its workhorse Falcon 9 rocket in addition to Starship, a new and unproven vehicle.

Set to be the largest and most powerful rocket ever flown when it eventually debuts, SpaceX’s two-stage Starship launch vehicle is also intended to be fully reusable, theoretically slashing the cost of launching payloads into and beyond Earth orbit. Most importantly, SpaceX says that even in its fully-reusable configuration, Starship should be capable of launching up to 150 tons (~330,000 lb) to low Earth orbit (LEO) – nearly a magnitude more than Falcon 9. However, once said to be on track to debut as early as mid-2021 to early 2022, it’s no longer clear if Starship will be ready for regular Starlink launches anytime soon.

In August 2021, SpaceX failed a major Starlink Gen2 revision with the FCC that started the company along the path that led to now. That revision revealed plans to dramatically increase the size and capabilities of each Gen2 satellite, boosting their maximum throughput from about 50 gigabits per second (Gbps) to ~150 Gbps. Just as importantly, SpaceX’s August 2021 modification made it clear that the company would prefer to launch the entire constellation with Starship, although it included an alternative constellation design that would lend itself better to Falcon 9 launches.

Hyperparameter tuning is important for algorithms. It improves their overall performance of a machine learning model and is set before the learning process and happens outside of the model. If hyperparameter tuning does not occur, the model will produce errors and inaccurate results as the loss function is not minimized.

Hyperparameter tuning is about finding a set of optimal hyperparameter values which maximizes the model’s performance, minimizes loss and produces better outputs.

In recent years, roboticists have been trying to improve how robots interact with different objects found in real-world settings. While some of their efforts yielded promising results, the manipulation skills of most existing robotic systems still lag behinds those of humans.

Fabrics are among the types of objects that have proved to be most challenging for robot to interact with. The main reasons for this are that pieces of cloth and other fabrics can be stretched, moved and folded in different ways, which can result in complex material dynamics and self-occlusions.

Researchers at Carnegie Mellon University’s Robotics Institute have recently proposed a new computational technique that could allow robots to better understand and handle fabrics. This technique, introduced in a paper set to be presented at the International Conference on Intelligent Robots and Systems and pre-published on arXiv, is based on the use of a tactile sensor and a simple machine-learning algorithm, known as a classifier.

Chaos, as a very interesting nonlinear phenomenon, has been intensively studied in the last three decades [10], [13]. It is found to be useful or has great potential in many disciplines such as in collapse prevention of power systems, biomedical engineering applications to the human brain and heart, thorough liquid mixing with low power consumption, secret communication technology, to name just a few [10], [13], [24].

Over the last decade, many new types of synchronization have appeared: chaotic synchronization [3], [4], lag synchronization [9], adaptive synchronization [2], phase synchronization [6], and generalized synchronization [9], to mention only a few. Since the discovery of chaos synchronization [3], there has been tremendous interest in studying the synchronization of chaotic systems [10]. Recently, synchronization of coupled chaotic systems has received considerable attention [1], [2], [5], [7]. Especially, a typical study of synchronization is the coupled identical chaotic systems [1], [6].

In 1963, Lorenz found the first classical chaotic attractor [12]. In 1999, Chen found another similar but topologically not equivalent chaotic attractor [11], [21], [22], as the dual of the Lorenz system, in a sense defined by Vanĕc̆ek and C̆elikovský [23]: The Lorenz system satisfies the condition a₁₂ a₂₁ 0 while Chen system satisfies a₁₂ a₂₁ 0. Very recently, Lü et al. produced a new chaotic system [14], [15], which satisfies the condition a₁₂ a₂₁ =0, thereby bridging the gap between the Lorenz and Chen attractors [15], [16], [17].

The Artemis 1 mission will use a Space Launch System megarocket to launch an Orion spacecraft to the moon.

Isn’t it beautiful? This is an illustrated logarithmic scale conception of the observable Universe with the Solar System at the centre.

The early-stage development of many age-targeting compounds often involves studies of their effects on the lifespan of the transparent nematode (worm) model Caenorhabditis elegans. A highly manual process, this exercise is time-consuming and only produces data on one endpoint – lifespan.

Durham University associate professors David Weinkove and Chris Saunter invented a technology that automates measurements of movement in many large populations of worms simultaneously. Crucially, this technology goes beyond measuring lifespan, also capturing information about how worms’ health declines as they age – their healthspan.

Longevity. Technology: Together, Weinkove and Saunter have co-founded a spinout company called Magnitude Biosciences, leveraging their innovative platform to test drugs and other interventions for their capacity to prolong healthspan. We caught up with Weinkove to learn more about the background to the company and where it goes from here.

Remedium Bio has announced that it has closed more than $2.3m in its expanded seed round financing. Funding from the raise is being used to study Remedium’s lead product, a single-injection gene therapy potentially capable of reversing cartilage loss; this research is being conducted in collaboration with scientists from Tufts University School of Medicine who are engaged in researching rheumatic disorders.

The financing was led by Sherwood Ventures and included participation from, LongevityTech. Fund, Primo Medical Group, Angel Star Ventures, Apis Health Angels, MicroVentures, and Guindy Alumni Angels.

Longevity. Technology: Remedium’s pipeline includes therapeutic indications in osteoarthritis, diabetes, stroke and other large unmet clinical needs.

Elon Musk subpoenaed Jack Dorsey, co-founder of Twitter Inc. and his longtime friend, in his defense against the social media company’s lawsuit to make him complete his proposed $44 billion buyout.