What i would suggest is landing Atlas robots in waves on the Moon, the first wave builds a solar panel farm for power, the second repairs the first wave, the third joins the first two to begin building large scale runways, the fourth joins the first three to begin building permanent structures.
The Moon is close enough for teleoperations, and in the 2030s, when we actually do Mars, the AI could repeat the whole thing there.
Before they explore Mars, the robots explore Martian-like caves on Earth first.
Although effective uncertainty estimation can be a key consideration in the development of safe and fair artificial intelligence systems, most of today’s large-scale deep learning applications are lacking in this regard.
To accelerate research in this field, a team from DeepMind has proposed epistemic neural networks (ENNs) as an interface for uncertainty modelling in deep learning, and the KL divergence from a target distribution as a precise metric to evaluate ENNs. In the paper Epistemic Neural Networks, the team also introduces a computational testbed based on inference in a neural network Gaussian process, and validates that the proposed ENNs can improve performance in terms of statistical quality and computational cost.
The researchers say all existing approaches to uncertainty modelling in deep learning can be expressed as ENNs, presenting a new perspective on the potential of neural networks as computational tools for approximate posterior inference.
A robot has wowed the audience at a basketball match during the Tokyo 2020 Olympics.
The machine, which goes by the name of CUE, showed off its throwing skills during half-time of the Men’s Preliminary Round Group B game between France and the United States (which France won 83–76).
In development by Japanese company Toyota since May 2018, CUE stands 208 cm (6’ 10) tall and weighs 90 kg (200 lbs). It uses sensors on its torso to calculate the angle and distance to the basket, before using its motorised arms and knees to shoot. The whole process from lifting the ball to making the shot takes less than 15 seconds.
We’ve seen helmets and AI that can spot brain tumors, but a new hard hat can actually treat them, too.
As part of the latest neurological breakthrough, researchers used a helmet that generates a magnetic field to shrink a deadly tumor by a third. The 53-year-old patient who underwent the treatment ultimately died due to an unrelated injury, but an autopsy of his brain showed that the procedure had removed 31% of the tumor mass in a short time. The test marked the first noninvasive therapy for a deadly form of brain cancer known as glioblastoma.
The helmet features three rotating magnets connected to a microprocessor-based electronic controller operated by a rechargeable battery. As part of the therapy, the patient wore the device for five weeks at a clinic and then at home with the help of his wife. The resulting magnetic field therapy created by the helmet was administered for two hours initially and then ramped up to a maximum of six hours per day. During the period, the patient’s tumor mass and volume shrunk by nearly a third, with shrinkage appearing to correlate with the treatment dose.
4:47 BioAge, 8:10 Church talking about how controlling aging is no longer speculative, 10:44 urging caution as they are not really talking about turning 67 year olds into 20 year olds. Near the end Church mentions A.I. an exponential possibilities of hitting all the pathways at once.
Recently, Avi Roy, alongside Nathan Cheng & Laura Minquini, hosted the second Longevity Panel discussion, which assembled some of the brightest minds working on reversing aging, and enhancing health and life span.
As with the first event, this discussion was intended to illuminate how they are approaching longevity and to know if we are any closer in achieving it.
Getting blood to a wounded soldier could be the difference between life and death. A drone swarm is one way to make that happen in battle.
Blood is usually a finite quality on a battlefield. Battles can cause a number of injuries, from the minor to the critical. If a soldier can get the wound closed in time, they can staunch the loss, but keeping the patient alive may require an influx of new blood. As medics work to aid their comrades, they could receive help from an unusual source: delivery drones, bringing literal fresh blood to the battlefield.
A drone swarm capable of delivering blood was part of Autonomous Advance Force 4.0, an exercise by the United Kingdom’s armed forces in which Royal Marines Commandos trained with modern technology for future war. The July exercise took place in Cumbria and Dorset, with a release announced July 17.
The swarm consisted of six medium-heavy lift drones, Malloy Aeronautics TRV-150s. The TRV-150 can carry up to 140 lbs, at a range of up to 43 miles, with a maximum flight time of 36 minutes. Malloy drones got their start back in 2014 as a hoverbike concept, which was then proposed for the US military as a kind of ridden-drone scout. The US Army explored a large version of the drone as a “tactical resupply” vehicle in 2017. In TRV-150 form, the drone is an octocopter, with two rotors on each of four limbs.
An AI tech was taught to detect sunken ships using images taken from the air and ships on the surface. The project was focused on the coasts of mainland US and Puerto Rico.
The AI is now ready for more extensive tests in unknown regions to look for shipwrecks still missing.
The renowned Mexican architect Miguel Ángel Aragonés presented ten years of research materialized in his most recent project entitled “Casa PI” whose acronym translates to a new “intelligent prefabricated” construction project. Patented in Switzerland, this system seeks to break the housing paradigm from an integral design that combines the structure of the house with the furniture and new automation technologies in architecture.
The origin of this innovation stems from the idea of creating a modular constructive system that was sustainable, in high quality, that would accelerate construction times, improve acoustic and thermal performance, as well as reduce construction costs and waste. It is based on implementing the technology, we currently live every day with, in an integral design (since conventional homes have had to adapt to these advances through facilities that hinder the design). However, “Casa PI” seeks to start from scratch by serving as a pavilion that shows the advances of this specific moment in history by offering a “piece of furniture to live in” that consumes as little energy as possible.
PI is a structure that works both vertically (as a column), horizontally (as a lock or chain), or mixed, and to which additional pieces are attached to integrate the final configuration. This modular construction system optimizes resources and reduces waste. The walls, based on overlapping paneling, are the final finish that covers the layers of thermal and acoustic insulation. The electrical and hydraulic installations are designed by means of screw-in and plug-in connections that avoid the work of welding and complicated connections. It guarantees the highest constructive quality in record time, providing a range of direct benefits: it does not require painting, waterproofing, or anti-corrosion coatings. It allows the adaptation of a thermal-acoustic system that reduces energy consumption to achieve an optimal level of comfort, whether or not, a central air conditioning system is used.
