How #artificialintelligence is changing science? Broadly, AI makes the next generation Science & Technology which is to model, simulate and produce machine intelligence/intellect/mind, the computational power to process real world data and to retain it as information, knowledge and intelligence to be applied towards complex problem solving and goal-directed behaviors within a dynamic environment of any scale. It involves a deep integration of scientific M&S of the formal sciences, natural, social, cognitive and technological sciences, as applied maths and computing and informatics. AI, with causal machine learning and DNNs, is not just about relying on computer algorithms to process data-information-knowledge to solve problems in a way similar to or much superior to the human mind. Analytical AI involves a computational representation of the world, using general intelligence and learning based on past experience to inform future decisions, knowledge engineering, simulation and scientific modelling.

An automated process based on computer algorithms that can read text from medical examiners' death certificates can substantially speed up data collection of overdose deaths – which in turn can ensure a more rapid public health response time than the system currently used, new UCLA research finds. The analysis, to be published Aug. 8 in the peer-reviewed JAMA Network Open, used tools from artificial intelligence to rapidly identify substances that caused overdose deaths. The overdose crisis in America is the number one cause of death in young adults, but we don't know the actual number of overdose deaths until months after the fact. We also don't know the number of overdoses in our communities, as rapidly released data is only available at the state level, at best. We need systems that get this data out fast and at a local level so public health can respond.

The Pentagon is making a massive push to accelerate the application of artificial intelligence to ships, tanks, aircraft, drones, weapons and large networks as part of a sweeping strategy to more quickly harness and integrate the latest innovations. Many forms of AI are already well-underway with US military combat systems, yet new technologies and applications are emerging so quickly that Deputy Secretary of Defense Patrick Shanahan has directed the immediate creation of a new Joint Artificial Intelligence Center. "The Deputy Secretary of Defense directed the DoD Chief Information Officer to standup the Joint Artificial Intelligence Center in order to enable teams across DoD to swiftly deliver new AI-enabled capabilities and effectively experiment with new operating concepts in support of DoD's military missions and business functions." DoD spokeswoman Heather Babb told Warrior Maven. Pentagon officials intend for the new effort to connect otherwise disparate AI developments across the services.

Machine learning algorithms can perform exponential tasks today--from mastering board games and identifying faces to automating daily tasks and making predictive decisions--this decade has brought forward countless algorithmic breakthroughs and several controversies. But one would find it a challenge to believe this development started only less than a century ago with Walter Pitts and Warren McCulloch. Analytics India Magazine takes you through a historical story of machine learning algorithms. Machine learning was ideated first in 1943 by logician Walter Pitts and neuroscientist Warren McCulloch, who published a mathematical paper mapping the decision-making process in human cognition and neural networks. Later, mathematician and computer scientist Alan Turing introduced the Turing test in 1950.

Using a technique called parametric design or generative design, automotive designer Ayoub Ahmad created the HV-001 by defining a set of conditions and allowing 3D algorithms to create an organic-looking automobile to fulfill those conditions. If the design looks almost like a skeleton, that's no coincidence because natural evolution works the same way too – it designs skeletons based on a certain set of conditions. Humans have strong heels and tailbones for standing and sitting, birds have lightweight skeletons for flying, and goats have strong skulls for occasionally headbutting. The car's chassis itself becomes its body, with an exoskeletal framework that's so organic and beautiful, it would be a shame to hide it under a fascia. The HV-001's unique exterior tries to achieve strength and aerodynamism with as little material as possible, resulting in open spaces where material isn't necessary, and connective pillars in places that take on gravitational stress, physical loads, or mechanical pressure.

Artificial intelligence may help to make sporting competitions cleaner and fairer in the future. Professor of Business Informatics Wolfgang Maaß and his teams at Saarland University and the German Research Center for Artificial Intelligence are using self-learning computer systems to make it faster and simpler to uncover doping violations. Maaß and his team have been collaborating with the World Anti-Doping Agency WADA on research projects that use AI systems the team had previously developed for Industry 4.0 applications. By feeding these systems with data from doping tests, the systems become increasingly efficient at detecting sporting fraud. Unequal chances, unfair competition, unclean sport – doping doesn't just violate the principle of fairness, sportsmen, and women who use performance-enhancing substances are putting their own health on the line.

Professor of Business Informatics Wolfgang Maaß (photo) and his teams at Saarland University and the German Research Center for Artificial Intelligence are using self-learning computer systems to make it faster and simpler to uncover doping violations. Maaß and his team have been collaborating with the World Anti-Doping Agency WADA on research projects that use AI systems the team had previously developed for Industry 4.0 applications. By feeding these systems with data from doping tests, the systems become increasingly efficient at detecting sporting fraud. Artificial intelligence may help to make sporting competitions cleaner and fairer in the future. Professor of Business Informatics Wolfgang Maaß and his teams at Saarland University and the German Research Center for Artificial Intelligence are using self-learning computer systems to make it faster and simpler to uncover doping violations.

Artificial intelligence may help to make sporting competitions cleaner and fairer in the future. Professor of Business Informatics Wolfgang Maaß and his teams at Saarland University and the German Research Center for Artificial Intelligence are using self-learning computer systems to make it faster and simpler to uncover doping violations. Maaß and his team have been collaborating with the World Anti-Doping Agency WADA on research projects that use AI systems the team had previously developed for Industry 4.0 applications. By feeding these systems with data from doping tests, the systems become increasingly efficient at detecting sporting fraud. Unequal chances, unfair competition, unclean sport – doping doesn't just violate the principle of fairness, sportsmen and women who use performance-enhancing substances are putting their own health on the line.

Three paraplegics have been able to walk, swim and cycle for the first time in years after being fitted with a revolutionary spinal cord implant. The device, which works by stimulating the region of the spinal cord that activates the trunk and leg muscles, was so effective that the patients were all able to stand and walk just one day after it was activated, researchers said. It is controlled by artificial intelligence (AI) software which reactivates neurons via a pacemaker inserted into a person's abdomen. Italian-born Michel Roccati, 29, had been confined to a wheelchair for over four years after losing the use of his legs in a motorbike crash, and was one of the three men to test the implant. He said: 'The first few steps were incredible -- a dream come true.'

Art NFTs, in particular, made a big impact last year with Christie's reporting over $93 million in nonfungible token sales during its fourth annual Art Tech Summit that took place this past August. While notable, much of the crypto art scene appears to be dominated by cartoons and memes, as projects like CryptoPunks and Bored Ape Yacht Club have taken center stage. Known as "AI-generative NFTs," these nonfungible tokens are becoming increasingly popular within the art community, along with those interested in emerging technologies like artificial intelligence, blockchain and the Metaverse. Being able to work with an AI to bring your ideas to life is an experience like no other, it augments creativity in a way that feels like freedom, a type of play you haven't experienced since you were a child." While Eponym lets users create their own art NFTs, Metascapes is another project that was developed by three photographers looking to combine human expression with computer algorithms. While the potential for AI-generative NFTs is apparent, the question of whether or not artificial intelligence can be trusted to generate quality images based on text or photographs remains a concern. For instance, Fisher mentioned that Eponym has two versions of its generator available to the public, one on the company's Discord channel operating as a chatbot and the other as a private link that contains more complex algorithms capable of creating more advanced images. For example, Fisher remarked that Eponym's next project will feature interactive virtual identities where users can take their own portraits to create 3D avatars and animate them using artificial intelligence. Art NFTs, in particular, made a big impact last year with Christie's reporting over $93 million in nonfungible token sales during its fourth annual Art Tech Summit that took place this past August. While notable, much of the crypto art scene appears to be dominated by cartoons and memes, as projects like CryptoPunks and Bored Ape Yacht Club have taken center stage. Known as "AI-generative NFTs," these nonfungible tokens are becoming increasingly popular within the art community, along with those interested in emerging technologies like artificial intelligence, blockchain and the Metaverse. Being able to work with an AI to bring your ideas to life is an experience like no other, it augments creativity in a way that feels like freedom, a type of play you haven't experienced since you were a child."