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
For the latest news in neuroscience, psychology, and artificial intelligence, please like and follow our Facebook page: https://www.facebook.com/The-Neuro-Network-383136302314720/
A special developmental program in the human brain drives the disproportionate thickening of cortical layer 2/3. This suggests that the expansion of layer 2/3, along with its numerous neurons and their large dendrites, may contribute to what makes us human. Gidon et al. thus investigated the dendritic physiology of layer 2/3 pyramidal neurons in slices taken from surgically resected brain tissue in epilepsy patients. Dual somatodendritic recordings revealed previously unknown classes of action potentials in the dendrites of these neurons, which make their activity far more complex than has been previously thought. These action potentials allow single neurons to solve two long-standing computational problems in neuroscience that were considered to require multilayer neural networks.
Your brain is the orchestra that plays the symphony of your mental experience and your awareness, and that experience is your window on existence and on the universe. Our aim is to preserve, restore, and even improve your mental experience beyond the limits of biology. With dedication, scientific advances within our lifetimes may allow us to record the unique arrangement and responses of neurons and synapses that encode your memories, their active behavior, and ultimately to restore all of that in a neural prosthesis that seamlessly repairs a brain function, or a complete artificial brain. Some of this is still reminiscent of science fiction, but each challenge is well on its way to being a tractable technology problem supported by scientific evidence and understanding.
Combining Maxar’s capabilities in robotics, spacecraft and space systems operations creates the opportunity to deploy and maintain revolutionary new space architectures. Since the dawn of space exploration, pioneers in the field envisioned sustainable space stations enabled by in-space assembly, manufacturing and servicing. Wernher Von Braun conducted a detailed study in 1945 that defined the deployment and construction of the rotating wheel space station. The design included maintaining artificial gravity and oxygen levels. Today, NASA has led the construction and continuous operation of the International Space Station for over 20 years, demonstrating the technical feasibility of large-scale in-space assembly and servicing.
Recently, Maxar has been working with NASA on concepts for both human-tended and uncrewed sustainable space platforms. These in-space assembled structures provide basic functions and a modular interface for new and evolving payloads and missions. The lunar orbiting Gateway will be one such platform where the Maxar-developed Power and Propulsion Element will provide the foundation of power, maneuvering, communications systems and initial docking capabilities. Additional Gateway segments will plug-in to the Power and Propulsion Element to make use of these systems. The versatility of the Power and Propulsion Element also allows it to be refueled in orbit, and we are working with NASA to conceive the architecture that could resupply the Gateway with fuel and other essentials.
Another concept we’ve been developing with NASA is an uncrewed “science station” that is constructed in sun synchronous LEO orbit and features science instruments that are robotically installed, upgraded, and replaced over time. This allows for co-location of science instruments, which is often desired or necessary, while eliminating the need to budget for, develop, integrate and launch all the payloads simultaneously on a single launch.
Machine learning and deep learning are both forms of artificial intelligence. You can also say, correctly, that deep learning is a specific kind of machine learning. Both machine learning and deep learning start with training and test data and a model and go through an optimization process to find the weights that make the model best fit the data. Both can handle numeric (regression) and non-numeric (classification) problems, although there are several application areas, such as object recognition and language translation, where deep learning models tend to produce better fits than machine learning models.
Researchers at Alphabet’s DeepMInd describe in a new paper a machine learning hybrid approach to difficult robotics problems.
Major military powers are racing to embrace weapons that select and fire on targets without meaningful human control. This is raising the specter of immoral, unaccountable, largely uncontrollable weapon systems – killer robots. It is also driving fears of widespread proliferation and arms races leading to global and regional instability.
There is increasing recognition that it’s time to ring the alarm on these weapons systems. This month in Paris, United Nations Secretary-General Antonio Guterres called for a new international treaty to ban killer robots, stating that “machines that have the power and discretion to kill without human intervention are politically unacceptable and morally despicable.”
Yet at last week’s meeting of the Convention on Conventional Weapons (CCW) at the UN in Geneva, states made no progress towards launching negotiations on a treaty to ban or restrict such fully autonomous weapons. Instead, they agreed to spend the next two years developing a “normative and operational framework” to address concerns raised by such weapons systems.
