Lifeboat Foundation

It is a common misconception that quantum computers are not yet ready for applications and the technology still has many years before becoming useful. In this article we will take a look at some of the basic principles of programming a quantum computer and address this misconception. We will look at free, open-source software such as QISKit from IBM, as well as the Quantum Machine Learning software PennyLane. We will also explain how you can run your programs on actual quantum computers in the cloud at IBM. In a follow-up article we will talk about some applications in machine learning that are ready for use currently to anyone with a bit of curiosity.

Nowadays, artificial neural networks have an impact on many areas of our day-to-day lives. They are used for a wide variety of complex tasks, such as driving cars, performing speech recognition (for example, Siri, Cortana, Alexa), suggesting shopping items and trends, or improving visual effects in movies (e.g., animated characters such as Thanos from the movie Infinity War by Marvel).

Traditionally, algorithms are handcrafted to solve complex tasks. This requires experts to spend a significant amount of time to identify the optimal strategies for various situations. Artificial neural networks — inspired by interconnected neurons in the brain — can automatically learn from data a close-to-optimal solution for the given objective. Often, the automated learning or “training” required to obtain these solutions is “supervised” through the use of supplementary information provided by an expert. Other approaches are “unsupervised” and can identify patterns in the data. The mathematical theory behind artificial neural networks has evolved over several decades, yet only recently have we developed our understanding of how to train them efficiently. The required calculations are very similar to those performed by standard video graphics cards (that contain a graphics processing unit or GPU) when rendering three-dimensional scenes in video games.

Featured Image Source: SpaceX

SpaceX is in the process of developing its next-generation spacecraft. It will be a two-stage launch vehicle, consisting of Starship (a spaceship), and a rocket booster called Super Heavy. Starship will be capable of conducting voyages to the moon and Mars. Super Heavy will only be needed to take Starship out of Earth’s atmosphere. It will be capable of returning from space in order to be reused. SpaceX has developed some of the world’s most technologically advanced rockets. The Falcon 9 rocket’s first-stage booster is capable of being launched, and return to land vertically on autonomous drone ships at sea in order to be reused again. No one in the rocket industry has achieved that level of reusability. Making Starship reusable is key towards decreasing the cost of spaceflight to make life multi-planetary.

Starship’s development is partially funded by Yusaku Maezawa, a fashion entrepreneur who dreams of going to the moon. Maezawa booked Starship’s first crewed flight, it will be a circumlunar voyage scheduled for the year 2023. SpaceX has an ambitious deadline to meet. The rocket company is manufacturing a production line of Starships at its South Texas assembly facility located in Boca Chica Beach, Brownsville, TX. Elon Musk, founder and chief engineer at SpaceX, says a high iteration rate is needed to make rapid progress in the development of Starship. To rapidly innovate, many vehicles must be manufactured and tested rapidly. Therefore, the company aims to ramp up its production to build one Starship per week. “Production is at least 1,000 percent harder than making one of something. At least 1,000 percent harder,” Musk said. This year, the company manufactured three stainless steel prototypes of the craft, two imploded during pressurization tests.

Neuroscientists have just created an artificially intelligent algorithm that detects human brain activity and translates it into English sentences—and they said it was the first time such translations could be done on a 1:1 speed with natural human speech; faster-than-light.

Quarantine amid coronavirus could boost the nascent practice of seeking romance and friendship from artificial intelligence.

3D-printed ‘flexoskeletons’ make it possible to build a soft robot in less than two hours without extravagant costs.

Around a year ago…

Pretty cool.

Continue reading “Remote surgery using robots advances with 5G tests in China” »

NEW DELHI: For the last four years, it was used for crop dusting. But now, it has a new name and purpose. Chennai-based startup Garuda Aerospace’s drone is spraying disinfectant all over locked down cities in its new avatar of Corona Killer-100.

Garuda has deployed 300 drones across 26 Indian cities, including Varanasi, Raipur and many in Tamil Nadu, at the behest of state governments and municipal bodies that are looking for ways to disinfect their areas with as little human intervention as possible. “We spray in public areas, hospitals, bus stations — anywhere Covid-19 can spread,” says Agnishwar Jayaprakash, the founder and president of the startup. Commercial pilot volunteers are steering these drones.

Across the country, startups are utilising the lockdown period to innovate and add to the state’s arsenal to fight the coronavirus pandemic. Their work has resulted in disinfectant-spraying drones, drones that make public announcements or shoo away crowds during a lockdown, disinfectant trucks, new kinds of sanitisers and even robotic dispensers.

Governments set aside privacy concerns as they use surveillance software to fight Covid-19.