Lifeboat Foundation: Safeguarding Humanity
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Category: robotics/AI

Fable Studio has announced two new conversational AI virtual beings, or artificial people. Their names are Charlie and Beck, and they will be able to hold conversations as if they were real people.

The new characters are a blend of storytelling and artificial intelligence, a marriage that Fable is pioneering in the belief that virtual beings will become a huge market as people seek companionship and entertainment during the tough climate of the pandemic.

CEO Edward Saatchi believes that virtual beings are the start of something big. He organizes the Virtual Beings Summit, and this summer he noted that virtual beings companies — from Genies to AI Foundation — have raised more than $320 million.

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(2020): Last posts we have talked about supercars, hypercars, sports cars, and concept cars, such as Koenigsegg Jesko, SSC Tuatara, Audi AI Trail, Bloodhound LSR, etc. Today we will be talking some interesting. We will be talking about the fastest bike in the world, that is Dodge Tomahawk.

The Parent company is DaimlerChrysler AG. The tomahawk cost around 555, 000 US dollars. It runs on four wheels.

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Popular media and policy-oriented discussions on the incorporation of artificial intelligence (AI) into nuclear weapons systems frequently focus on matters of launch authority—that is, whether AI, especially machine learning (ML) capabilities, should be incorporated into the decision to use nuclear weapons and thereby reduce the role of human control in the decisionmaking process. This is a future we should avoid. Yet while the extreme case of automating nuclear weapons use is high stakes, and thus existential to get right, there are many other areas of potential AI adoption into the nuclear enterprise that require assessment. Moreover, as the conventional military moves rapidly to adopt AI tools in a host of mission areas, the overlapping consequences for the nuclear mission space, including in nuclear command, control, and communications (NC3), may be underappreciated.

AI may be used in ways that do not directly involve or are not immediately recognizable to senior decisionmakers. These areas of AI application are far left of an operational decision or decision to launch and include four priority sectors: security and defense; intelligence activities and indications and warning; modeling and simulation, optimization, and data analytics; and logistics and maintenance. Given the rapid pace of development, even if algorithms are not used to launch nuclear weapons, ML could shape the design of the next-generation ballistic missile or be embedded in the underlying logistics infrastructure. ML vision models may undergird the intelligence process that detects the movement of adversary mobile missile launchers and optimize the tipping and queuing of overhead surveillance assets, even as a human decisionmaker remains firmly in the loop in any ultimate decisions about nuclear use. Understanding and navigating these developments in the context of nuclear deterrence and the understanding of escalation risks will require the analytical attention of the nuclear community and likely the adoption of risk management approaches, especially where the exclusion of AI is not reasonable or feasible.

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Emerging and reemerging infections present an ever-increasing challenge to global health. Here, we report a nanoparticle-enabled smartphone (NES) system for rapid and sensitive virus detection. The virus is captured on a microchip and labeled with specifically designed platinum nanoprobes to induce gas bubble formation in the presence of hydrogen peroxide. The formed bubbles are controlled to make distinct visual patterns, allowing simple and sensitive virus detection using a convolutional neural network (CNN)-enabled smartphone system and without using any optical hardware smartphone attachment. We evaluated the developed CNN-NES for testing viruses such as hepatitis B virus (HBV), HCV, and Zika virus (ZIKV). The CNN-NES was tested with 134 ZIKV-and HBV-spiked and ZIKV-and HCV-infected patient plasma/serum samples. The sensitivity of the system in qualitatively detecting viral-infected samples with a clinically relevant virus concentration threshold of 250 copies/ml was 98.97% with a confidence interval of 94.39 to 99.97%.

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Smartphone systems can also benefit from the recent unprecedented advancements in nanotechnology to develop diagnostic approaches. Catalysis can be considered as one of the popular applications of nanoparticles because of their large surface-to-volume ratio and high surface energy (11–16). So far, numerous diagnostic platforms for cancer and infectious diseases have been developed by substituting enzymes, such as catalase, oxidase, and peroxidase with nanoparticle structures (17–20). Here, we adopted the intrinsic catalytic properties of platinum nanoparticles (PtNPs) for gas bubble formation to detect viruses on-chip using a convolutional neural network (CNN)–enabled smartphone system.

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Circa 2018

Californian robotics company Iron Ox claims to be ‘reinventing farming from the ground up’, as it unveils an autonomous indoor farm that leverages the latest advancements in arable science, machine learning, and robotics.

Indoor farms see harvesting, seeding and plant inspections occur thousands of times a day – tasks perfectly suited to robots. Iron Ox is using the latest in machine learning and computer vision to enable its robots to respond to the needs of individual plants.

The farm is now in full production, thanks to its two key proprietary robotics systems – a robotic arm and a mobile transport. They work cohesively, with the latter using sensors and computer vision technology more typically seen in a self-driving car. The robotic arm, meanwhile, can analyse each plant at sub-millimetre scale.

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Artificial intelligence helped co-pilot a U-2 “Dragon Lady” spy plane during a test flight Tuesday, the first time artificial intelligence has been used in such a way aboard a US military aircraft.

Mastering artificial intelligence or “AI” is increasingly seen as critical to the future of warfare and Air Force officials said Tuesday’s training flight represented a major milestone.

“The Air Force flew artificial intelligence as a working aircrew member onboard a military aircraft for the first time, December 15,” the Air Force said in a statement, saying the flight signaled “a major leap forward for national defense in the digital age.”

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