Lifeboat Foundation

Satellites have been flying around the earth for decades — scanning landscapes and capturing images of our fast-changing planet. Remote sensing has been around since even before the first flight of the Wright brothers. It was restricted to hot air balloon flights back then. Systematic aerial photography and satellite remote sensing reached an inflection point during the Cold War, when the need for surveillance led to modification of combat aircraft for the purpose of spying. The space race also gave a fillip to satellite launches. The first satellite photographs of the earth were taken on August 14, 1959 and satellite image processing techniques evolved in 1960s and 1970s.

Till late 1990s, the primary consumer of remote sensing data was either governments bodies or defence agencies. This was because of the strategically sensitive nature of technology, which gave birth to the fear that it can be used for spying. However, after the fall of the Soviet Union commercial satellite imagery market began to evolve and IKONOS became the first commercial, very-high resolution satellite to be launched in 1999. Another factor in play was the growing use of computer software for analysis of data and satellite data consumption benefited from this growth in the 1990s.

The 21st century saw rapid changes in the remote sensing industry. Data consumption continued to increase. This was accelerated by the fall in costs of satellite imagery. Moreover, open data sources emerged with Landsat data becoming publicly available in 2009. Copernicus Hub followed in 2014 when the European Space Agency launched Sentinel 1. Another inflection point occurred in the industry when Planet launched a constellation of 88 Dove satellites abroad the PSLV-C37 of ISRO. These are shoe-box sized satellites leveraging the power of off-the-shelf consumer electronics to reduce costs. Further innovation in satellite launching by a slew of startups led by SpaceX has reduced costs of launching satellites.

Proteins are often called the working molecules of the human body. A typical body has more than 20,000 different types of proteins, each of which is involved in many functions essential to human life.

Now, Purdue University researchers have designed a novel approach to use deep learning to better understand how proteins interact in the body – paving the way to producing accurate structure models of protein interactions involved in various diseases and to design better drugs that specifically target protein interactions. The work is released online in Bioinformatics.

“To understand molecular mechanisms of functions of protein complexes, biologists have been using experimental methods such as X-rays and microscopes, but they are time- and resource-intensive efforts,” said Daisuke Kihara, a professor of biological sciences and computer science in Purdue’s College of Science, who leads the research team. “Bioinformatics researchers in our lab and other institutions have been developing computational methods for modeling protein complexes. One big challenge is that a computational method usually generates thousands of models, and choosing the correct one or ranking the models can be difficult.”

For the moment, massive job losses from automation and artificial intelligence are a largely theoretical worry. But tax economists and lawyers are thinking through the economic circumstances in which robot taxes might make sense and the tricky legal decisions and definitions needed to implement them.

A debate is heating up over whether businesses should pay up when they replace human workers with machines.

Neon burst onto the scene at CES 2020 in a flurry of hype, but not much understanding of what the company wants to eventually achieve. It’s a complex vision of the future, where we live alongside digital humans that look like us, move like us, and can think, learn, and remember.

Shaking hands with BrainCo’s artificial intelligence-powered prosthetic hand is like shaking hands with an exciting, optimistic version of the future. Here’s what this amazing prosthesis is able to do, and how it promises to transform life for amputees all around the world.

The European patent authorities have rejected an attempt to register an AI as an official inventor.

The possibility’s been a subject of debate for some time, and last summer a group of legal experts decided to force the issue. The group, led by Professor Ryan Abbott of the University of Surrey, submitted designs developed by an AI to the authorities in the US, UK and Europe, and later Germany, Israel, Taiwan and China.

The AI concerned, named Dabus, was created by Stephen Thaler, and is described as a connectionist artificial intelligence.

This special issue of ‘Sophia’ aims to reflect upon future evolutions of religions and their related narratives and imaginaries from a critical and generative understanding of our ancient sources. Bodies are locations of creative power and symbolic proliferation. Cyborgian, transhuman, and posthuman embodiments are going to generate visions of the divine in tune with such an epistemic shift, by addressing questions such as: can God be represented as a cyborg? Could robots and avatars be prophets? Is internet a suitable setting for a posthuman theophany? This special issue articulates within the frame of a relational ontological perspective, according to which the notion of the divine evolves, as much as human and non-human persons do. In this evolutionary scenario, the representation of the divine realm may shift from era to era, adapting to new natural-cultural formations. This special issue argues that the posthuman paradigm shift will be followed by a symbolic turn in religious imaginaries as well.

In a posthuman future, human and non-human beings, plants, and minerals will most likely co-exist with advanced artificial intelligence, sentient robots, and conscious humanoids. As futurist Ray Kurzweil affirms: ‘The introduction of technology is not merely the private affair of one of the Earth’s innumerable species. It is a pivotal event in the history of the planet’ ( 1999, p. 35). Religions will need to re-think their theological approaches in order to allow for different types of subjectivities and embodied entities to partake in the religious quest. Religions themselves are material as well as symbolic networks, actualized through words, prayers, metaphors, rhythms, images, and symbols, among many other expressions. The physical, the virtual, and the symbolic are inextricably intertwined. In the era of the cyborg, God is not only human; in the era of the post-human, humans are not the only prophets.

Sarcos sprinkled the flavor of the future on last year’s CES show when it revealed the latest evolution of its robotic exoskeleton technology, the Guardian XO. At this year’s CES, the Salt Lake City-based robotics specialist and Delta Airlines announced pilot trials, with Delta employees set to be among the first workers to suit up in the battery-powered, force-multiplying wearable robots, enjoying superhuman strength and endurance without body wear and tear.

Few things make us want to trade a cushy gig of rambling away about gadgets semi-coherently on the Web for a life of physical labor like the Guardian XO. A full-body robotic suit that turns its wearer into something of a near-cyborg superhero, the XO looks straight out of a dystopian sci-fi thriller and brings the capabilities to match. It bears its own substantial weight, along with 200 additional pounds (91 kg) of payload, letting the wearer lift heavy objects for hours without physical strain or fatigue.

Sarcos says the Guardian XO takes under 30 seconds to put on or take off, responds in milliseconds to the operator’s movements, and amplifies his or her strength by up to 20 times. It offers eight hours of battery power, and a hot-swapping battery system allows users to extend that operational time. All in all, it’s a highly impressive machine meant to help humans complete obligatory lifting tasks that would be difficult or impossible to tackle with more conventional lifting machinery.

A new unique signal discovered within the brain might be what makes us human:

https://science.sciencemag.org/content/367/6473/83

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