Byron Cook, the head of Amazon’s automated-reasoning (AR) group, think his field is entering a “golden era”, driven by a virtuous cycle of improving tools and b… See more.
Distributing proof search, reasoning about distributed systems, and automating regulatory compliance are just three fruitful research areas.
The ESA is investigating hibernation technology that could allow astronauts to remain healthy during long-duration missions to Mars and beyond.
A renewed era of space exploration is upon us, and many exciting missions will be headed to space in the coming years. These include crewed missions to the Moon and the creation of permanent bases there. Beyond the Earth-Moon system, there are multiple proposals for crewed missions to Mars and beyond. This presents significant challenges since a one-way transit to Mars can take six to nine months. Even with new propulsion technologies like nuclear rockets, it could still take more than three months to get to Mars.
In addition to the physical and mental stresses imposed on the astronauts by the duration and long-term exposure to microgravity and radiation, there are also the logistical challenges these types of missions will impose (i.e., massive spacecraft, lots of supplies, and significant expense). Looking for alternatives, the European Space Agency (ESA) is investigating hibernation technology that would allow their astronauts to sleep for much of the voyage and arrive at Mars ready to explore.
Smart cities are supposed to represent the pinnacle of technological and human advancement. They certainly deliver on that promise from a technological standpoint. Smart cities employ connected IoT networks, AI, computer vision, NLP, blockchain and similar other technologies and applications to bolster urban computing, which is utilized to optimize a variety of functions in law enforcement, healthcare, traffic management, supply chain management and countless other areas. As human advancement is more ideological than physical, measuring it comes down to a single metric—the level of equity and inclusivity in smart cities. Essentially, these factors are down to how well smart city administrators can reduce digital exclusivity, eliminate algorithmic discrimination and increase citizen engagement. Addressing the issues related to data integrity and bias in AI can resolve a majority of inclusivity problems and meet the above-mentioned objectives. make smart cities more inclusive for people and communities from all strata of society, issues related to digital exclusion and bias in AI need to be addressed by public agencies in these regions.
Posted in robotics/AI
Artificial Intelligence is the ability of machines to seemingly think and act as humans do. Humans absorb data through our various senses, process data using our cognitive abilities, and then act. Machines also, in their own narrow way, absorb whatever information is made available to them and take relevant actions when prompted. Those actions may take the form of a conversational bot or a recommender engine. Over time, our decision-making sophistication has increased. We began making decisions relying solely on our judgment. We progressed to summarizing large swaths of data and then applying our judgment to that summary. And at present, we entrust AI with taking decisions across data and recommending actions. In narrow problems, machines have a greater ability than humans to process volumes of data and accurately identify the trends within. Was AI wrong about Nadal? Not really. It said that Nadal had a 4% chance of winning; at that snapshot in time, and based on all past data of similar matches, perhaps that was a fair assessment of his chances against Medvedev. Most humans would also have predicted a Medvedev win even if they hoped for a different outcome. I am sure that as the fifth set played out, the odds of Nadal winning rose steadily in his favor. So, the earlier prediction should not be considered wildly inaccurate just because Nadal ultimately won.
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Can AI measure the heart of a champion?
The recent advances in machine learning and artificial intelligence, coupled with increases in computational power, have led to a lot of interest and hype in longevity biotechnology 30114–2). Hundreds of data scientists and companies are taking advantage of this hype to propel research and discovery of new technologies in aging research.
One of the major new areas in aging research are biomarkers of aging that give the true biological age of humans that may be different from their chronological age. One of the most advanced biomarkers of aging are deep aging clocks that can help researchers predict biological age as well as mortality of humans. In 2013, Steven Horvath published an article called ‘DNA methylation age of human tissues and cell types,’ in which he outlined the development of a multi-tissue predictor of age that allows for the estimation of the DNA methylation age of most tissues and cell types. He also formed an aging clock that can be used to address questions in developmental biology, cancer, and aging research.
There have been several more studies on such clocks since 2013. For example, I was part of a team in 2016 and we published a study on the first deep aging clock titled ‘Deep biomarkers of human aging: Application of deep neural networks to biomarker development.’ Since our study was published, many other aging clocks that can predict age as well as mortality rapidly entered into many industries. it is clear that there is a boom in the longevity biotechnology industry and huge progress in aging research is expected to be made in the next few years. AI-based aging clocks provide a very good entry point for the insurance companies to get into the field of aging research and actually contribute while protecting their business and innovating in science and technology.
New Israeli startup aims to get product to market within two years; technology could also be used to identify early markers of cancer.
An Israeli startup is developing a non-invasive early detection method using artificial intelligence (AI) to identify genetic disorders in human embryos.
Via a simple blood test taken from the pregnant mother during the first trimester, IdentifAI Genetics can read the embryo’s entire DNA and provide in-depth analysis to detect genetic disorders.
FORT CAMPBELL, KY (AP) — A helicopter flew unmanned around Fort Campbell recently in what is the Army’s first automated flight of an empty Black Hawk, officials said.
The 14,000-pound UH-60A Black Hawk successfully navigated around the post as if it were downtown Manhattan, engineers told reporters Tuesday.
The DARPA Aircrew Labor In-Cockpit Automation System (ALIAS) program took the helicopter on 30-minute flight on Feb. 5. It was the first time the system known as ALIAS flew completely by itself. The system is being tested with 14 military aircraft.
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You are on the PRO Robots channel and today we present to your attention the latest issue of high-tech news. The U.S. military has learned to control more than a hundred robots simultaneously, and the Chinese have created a copy of Boston Dynamics’ BigDog robot, an electronic skin to control robots, and are about to compete with StarLink. For more on this, as well as underwater robots, the perfect robot arm, and other cutting-edge technology, check out our video!
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