Tag: artificial intelligence

AI could trick us think that we have found Aliens scientists warn

This representation of Ceres’ Occator Crater in false colours shows differences in the surface composition. Scientists use the false colour as a way of examining the way that the surface is composed ( NASA/JPL-Caltech/UCLA/MPS/DLR/IDA )

Artificial Intelligence could make us think that we have found aliens Scientists warn.

This technology means the simulation of human intelligence in a machine that is programmed to think like humans and mimic their actions.

Artificial intelligence is one of the breakthrough technologies in the search for extraterrestrial intelligence, is used to sort through huge amounts of the image in the hopes of spotting “technosignatures”, or indications of alien life.

But the discovery suggests that people could be get excited about potential discoveries spotted by artificial intelligence, only to find that they are meaningless, accidental formations on alien planets.

The study used a particular formation on the dwarf planet Ceres, which excited alien-hunters when it was first discovered. Ceres Ceres is a dwarf planet and the biggest object in the asteroid belt that sits between Mars and Jupiter. For a long time, scientists could only guess at what was causing the areas of brightness — with suggestions including gas, ice, volcanos or something else entirely. Nasa even asked the public for help in identifying the cause of the bright spots.

But the new research finds that the spots are probably salt, reflecting light up and so giving the appearance of a bright area on Ceres’s surface.

The study concludes that the “unusual areas are consistent with hydrated magnesium sulfates mixed with dark background material”, the researchers say. The paper has been published in Nature.

In all, there are more than 130 bright areas, most of which seem to have come from asteroid impacts. When those asteroids landed they likely dislodged the salt that is leading to the bright areas.

“The global nature of Ceres’ bright spots suggests that this world has a subsurface layer that contains briny water-ice,” Nathues said.
This claim has been made after the new images taken from the camera on Dawn.

The planet’s surface includes what appears to be a square structure within a triangle one, and appears to have been intentionally built. The discovery of the crater, named Occator, led some to speculate that it had been constructed by an alien civilisation – though it is most likely just an accident of light and shadow on the surface.

In the new research, conducted by scientists from the University of Cadiz and published in the journal Acta Astronautica, participants were shown one of those mysterious formations on the planet’s surface. They were then asked to describe what they saw, with many people pointing out the unusual formation.

The scientists then did the same with an artificial intelligence system, which had been trained to spot squares and triangles in images. The AI also spotted the formations – and, once it had, it meant that participants also saw them too.

“Both people and artificial intelligence detected a square structure in the images, but the AI also identified a triangle,” said Gabriel G De la Torre, the neuropsychologist who led the study. “And when the triangular option was shown to humans, the percentage of persons claiming to see it also increased significantly.”

The researchers said the study should warn those hunting for alien civilisations that the use of artificial intelligence “could confuse us and tell us that it has detected impossible or false things”. But it might also help us spot structures that would never have been noticed by humanity, he said,

ARTIFICIAL INTELLIGENCE

What is Artificial Intelligence (AI)?

Artificial intelligence (AI) refers to the simulation of human intelligence in machines that are programmed to think like humans and mimic their actions. The term may also be applied to any machine that exhibits traits associated with a human mind such as learning and problem-solving. The ideal characteristic of artificial intelligence is its ability to rationalize and take actions that have the best chance of achieving a specific goal.

Machine Learning – the core of AI

Machine learning is an application of artificial intelligence (AI) that provides systems the ability to automatically learn and improve from experience without being explicitly programmed. Machine learning focuses on the development of computer programs that can access data and use it learn for themselves.

The process of learning begins with observations or data, such as examples, direct experience, or instruction, in order to look for patterns in data and make better decisions in the future based on the examples that we provide. The primary aim is to allow the computers learn automatically without human intervention or assistance and adjust actions accordingly.

But, using the classic algorithms of machine learning, text is considered as a sequence of keywords; instead, an approach based on semantic analysis mimics the human ability to understand the meaning of a text.

Uses of AI:

  • Chatbots: Chatbots are artificial intelligence software that can simulate a conversation (or a chat) with a user in natural language through messaging applications, websites and mobile apps or through the telephone. A chatbot is often described as one of the most advanced and promising expressions of interaction between humans and machines. However, from a technological point of view, a chatbot only represents the natural evolution of a Question Answering system leveraging Natural Language Processing (NLP). Formulating responses to questions in natural language is one of the most typical Examples of Natural Language Processing applied in various enterprises’ end-use applications. Together, chatbots and AI can create a very powerful experience. Artificial Intelligence serves as the learning mechanism for many chatbots. Chatbot AI teaches the bots how to respond to your inquiries and helps the bot learn about your personal preferences. AI bots are responsible for engaging in meaningful conversation with an end-user using chatbot AI as a source of intellect.
  • Healthcare: Artificial intelligence in healthcare is the use of complex algorithms and software in another words artificial intelligence (AI) to emulate human cognition in the analysis, interpretation, and comprehension of complicated medical and healthcare data. Specifically, AI is the ability of computer algorithms to approximate conclusions without direct human input. What distinguishes AI technology from traditional technologies in health care is the ability to gain information, process it and give a well-defined output to the end-user. AI does this through machine learning algorithms and deep learning. The primary aim of health-related AI applications is to analyze relationships between prevention or treatment techniques and patient outcomes. AI programs have been developed and applied to practices such as diagnosis processes, treatment protocol development, drug development, personalized medicine, and patient monitoring and care. Large technology companies such as IBM and Google have also developed AI algorithms for healthcare. Additionally, hospitals are looking to AI software to support operational initiatives that increase cost saving, improve patient satisfaction, and satisfy their staffing and workforce needs. Companies are developing predictive analytics solutions that help healthcare managers improve business operations through increasing utilization, decreasing patient boarding, reducing length of stay and optimizing staffing levels.
  • Cyber Security: Cybercriminals will steal an estimated 33 billion records in 2023 according to the projections mentioned in the 2018 study from Juniper Research. That’s something very grave to watch for, and this sheds light on the pressing need to fortify cybersecurity across organizations. To tackle cybersecurity proactively and accurately, infusing intelligence across the entire security ecosystem of an organization is the need of the hour”. If the recent history is any indication, the targeted cyber-attacks that happened recently and even the past attacks suggest that no one is immune to these threats unless companies are fully prepared to respond. This calls for the implementation of fortified cyber security measures. Just the stand-alone cyber security solutions would not suffice. Artificial Intelligence has a huge potential to boost the cyber security profile of a company. AI could work in harmony with the cyber security implementations, to accelerate risk reduction exponentially. Many of the Cyber Security Solutions in the market uses AI models.  For example, LogRhythm uses machine learning to profile and detect threats, compromised accounts, privilege abuse and other anomalies. The Versive Security Engine (VSE) uses artificial intelligence to separate critical risks from routine network activity.  Cybereason’s AI-powered hunting technology determines whether an organization is under attack.

Latest Developments in AI

  •  Robotics is a prime area of development for the AI community so it’s no surprise that there are plenty of start-ups conducting research with the intention of taking the field further. Seattle company Olis Robotics caught the attention of GeekWire earlier this year with a solution designed to take robotics not just to the next level, but somewhere else entirely. According to CEO Don Pickering, “Olis Robotics’ innovation currently manifests in a plug-and-play controller loaded with our AI-driven software platform. The controller and our proprietary software can operate tethered robots on the ocean floor, satellite servicing robots using high-latency satellite links in space, or industrial robots cleaning up a dangerous chemical spill on land using 4G/5G networks. Our innovation will exponentially expand the role of robots to make an impact on human advancement and exploration.”
  • New AI software developed by researchers at the University of Oxford can recognize and track the faces of individual chimpanzees in their natural habitats. The software will allow researchers and wildlife conservationists to significantly cut back on time and resources spent analyzing video footage, according to a new paper. In Science Daily, Dan Schofield, researcher and DPhil student at Oxford University’s Primate Models Lab, School of Anthropology explained, “For species like chimpanzees, which have complex social lives and live for many years, getting snapshots of their behavior from short-term field research can only tell us so much. By harnessing the power of machine learning to unlock large video archives, it makes it feasible to measure behavior over the long term, for example observing how the social interactions of a group change over several generations.’ The computer vision model was trained using over 10 million images from Kyoto University’s Primate Research Institute (PRI) video archive of wild chimpanzees in Guinea, West Africa. The team at Oxford hopes the new software will help improve conservation efforts in areas where chimpanzees are endangered.