Lifeboat Foundation

Late last year, the popular new auto manufacturer Rivan finally released its R1T electric truck, but now it looks like they’re ready to jump into different market segments. In fact, Rivian could be getting ready to make electric bikes according to its latest trademark filings.

Spotted by TechCrunch, it appears the company wants to expand its Rivian name trademark into the bicycle and electric bike category. Not to mention all the components, structural parts, and the rack system it’ll pair with the Rivian R1T and R1S vehicles.

Companies often file trademarks for products that never see the light of day, but this is a logical step for Rivian. For starters, e-bikes are easier and cheaper to produce at scale than fancy electric trucks, which Rivian is struggling with. The company shipped very few R1T trucks in 2021, mainly to employees, and could be having a hard time keeping up with production and demand.

New York state will spend $500 million building up ports and manufacturing infrastructure for offshore wind farms in a bid to become home base for the nascent industry.

The investments announced Wednesday by Governor Kathy Hochul will focus on building the supply chain for offshore turbines, which can provide clean power to a densely populated coast with little room for onshore wind farms or solar power plants.

“With this investment, New York will lead the nation on offshore wind production, creating green jobs for New Yorkers, and powering our clean energy future,” Hochul said in the statement.

Fittingbox’s Frame Removal uses diminished reality to help people pick out new eyeglasses — but the tech’s potential extends far beyond the bridge of your nose.

French company Fittingbox has just unveiled an app that uses a technology called “diminished reality” — the opposite of augmented reality (AR).

Continue reading “Diminished reality flips the script on AR” »

In fact, it’s not even the first time that IBM has tried — unsuccessfully — to unload the project, in yet another sign that corporate expectations for AI are continuing to crash into reality.

“Health care always is going to turn out to be more subtle, as well as more regulated for the right reasons, than it is in other areas,” IBM CEO Arvind Krishna said in an Axios and HBO interview last year. “And to me, that’s natural. It is a decision that may impact somebody’s life or death. You got to be more careful. So in health care, it turns out maybe we were too optimistic.”

The sale, if it actually goes through this time, would affect millions of patients and entire government healthcare strategies.

This is interesting. It looks like SpaceX is abandoning their backup plan to launch V2.0 Starlink satellites with the Falcon 9 and instead they are going to launch them with Starship instead. They are also saying they will be ready to launch them as soon as 2 months from now. This confirms the rumors that I’ve been hearing that the Raptor 2 engine for Starship is much more stable than the Raptor 1 engines were.

Note that this means they are planning on launching satellites before they have perfected landing but this makes sense since they did the same with the Falcon 9, crashing and burning 19 rockets in a row until they were able to land part of one. It should take 5 or less orbital attempts to land the Starship booster stage. (They will lose a ton of engines with the booster stage so this will be a high priority to get working.)

TAMPA, Fla. — SpaceX has dropped a plan to use Falcon 9 to launch the 30,000 satellites in its proposed second-generation Starlink broadband constellation, and is instead focusing on a configuration leveraging its upcoming Starship vehicle.

Continue reading “SpaceX goes all-in on Starship configuration for second-gen Starlink” »

Houston, TX — Oct 8, 2020 - In a letter published today in the New England Journal of Medicine, a team of physicians from Baylor College of Medicine, Texas Children’s Hospital, and the University of California, San Francisco, describe a remarkable case of a Type 1 diabetes (T1D) patient, who no longer needs insulin to maintain optimal blood sugar levels. The physicians employed a precision/personalized medicine approach to specifically target the underlying genetic mutation, which was the primary driver of this patient’s diabetes.

“To the best of our knowledge, this is the first example of a T1D patient who has experienced a complete reversal of insulin-dependence and we are excited by the prospect that that could be a viable therapeutic strategy for a subset of T1D patients” said corresponding author Dr. Lisa R. Forbes, deputy director for clinical services and community outreach for the Texas Children’s William T. Shearer Center for Human Immunobiology and assistant professor of Pediatrics, Immunology, Allergy and Retrovirology at Baylor.

T1D is a chronic condition in which the pancreas produces little to no insulin, a hormone that maintains sugar levels in the blood. Currently, the treatment options available to T1D patients consist of managing blood sugar levels with insulin, diet and exercise to prevent further complications.

Researchers at the Indian Institute of Technology Bhubaneswar, in collaboration with TCS Research and Wageningen University, recently devised a new strategy that could improve coordination among different robots tackling complex missions as a team. This strategy, introduced in a paper pre-published on arXiv, is based on a split-architecture that addresses communication and computations separately, while periodically coordinating the two to achieve optimal results.

For many years, a bottleneck in technological development has been how to get processors and memories to work faster together. Now, researchers at Lund University in Sweden have presented a new solution integrating a memory cell with a processor, which enables much faster calculations, as they happen in the memory circuit itself.

In an article in Nature Electronics, the researchers present a new configuration, in which a memory cell is integrated with a vertical transistor selector, all at the nanoscale. This brings improvements in scalability, speed and energy efficiency compared with current mass storage solutions.

The fundamental issue is that anything requiring large amounts of data to be processed, such as AI and machine learning, requires speed and more capacity. For this to be successful, the memory and processor need to be as close to each other as possible. In addition, it must be possible to run the calculations in an energy-efficient manner, not least as current technology generates high temperatures with high loads.

Carbon-based organic micropollutants in water can be removed by treatment with high-intensity pulses of light in a procedure developed and demonstrated by researchers at KAUST.

This photodegradation process was already known to be feasible, but its use was limited by the long treatment times it required. Luca Fortunato, Thomas Anthopoulos and colleagues have demonstrated that this photodegradation treatment can be dramatically accelerated with high-intensity light pulses generated from a xenon flash lamp.

“An interesting aspect of this work is that we combined the expertise and technologies of two different fields,” says Fortunato. He explains that the collaboration between the two different research departments—KAUST’s Solar Center and Water Desalination and Reuse Center—allowed the team to adopt a pulsed light system that was previously used to process semiconductor materials for transistors and solar cells.