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Stanford reinforcement learning system simulates evolution

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This article is part of our reviews of AI research papers, a series of posts that explore the latest findings in artificial intelligence. Hundreds of millions of years of evolution have blessed our planet with a wide variety of lifeforms, each intelligent in its own fashion. Each species has evolved to develop innate skills, learning capacities, and a physical form that ensure its survival in its environment. But despite being inspired by nature and evolution, the field of artificial intelligence has largely focused on creating the elements of intelligence separately and fusing them together after development. While this approach has yielded great results, it has also limited the flexibility of AI agents in some of the basic skills found in even the simplest lifeforms.


10 Game-Changing Applications of Robotics in the Healthcare Industry

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Replacing manual labor by ten times, robotic applications have arrived to transform the healthcare industry for the better. Robotic applications in healthcare carry out automated actions that are repetitive, and mundane for humans, by following computerized commands. Assisting surgeons and healthcare professionals, with artificial intelligence mechanisms, has resulted in the expanded duration of attention towards the crux of a concern and not exhaust around tedious marginal efforts. Artificial intelligence software significantly reduces logistical pressure over a medical clinic followed by enhanced health tech services to be available to the seekers at their convenience evading unnecessary fatigue. A collaborative robotic application that successfully follows human co-workers to learn about the pathways and corridors of a hospital to continue the mundane process of delivering medicines and essentials to each ward and cabin.


The impact of artificial intelligence on learner–instructor interaction in online learning - International Journal of Educational Technology in Higher Education

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Artificial intelligence (AI) systems offer effective support for online learning and teaching, including personalizing learning for students, automating instructors’ routine tasks, and powering adaptive assessments. However, while the opportunities for AI are promising, the impact of AI systems on the culture of, norms in, and expectations about interactions between students and instructors are still elusive. In online learning, learner–instructor interaction (inter alia, communication, support, and presence) has a profound impact on students’ satisfaction and learning outcomes. Thus, identifying how students and instructors perceive the impact of AI systems on their interaction is important to identify any gaps, challenges, or barriers preventing AI systems from achieving their intended potential and risking the safety of these interactions. To address this need for forward-looking decisions, we used Speed Dating with storyboards to analyze the authentic voices of 12 students and 11 instructors on diverse use cases of possible AI systems in online learning. Findings show that participants envision adopting AI systems in online learning can enable personalized learner–instructor interaction at scale but at the risk of violating social boundaries. Although AI systems have been positively recognized for improving the quantity and quality of communication, for providing just-in-time, personalized support for large-scale settings, and for improving the feeling of connection, there were concerns about responsibility, agency, and surveillance issues. These findings have implications for the design of AI systems to ensure explainability, human-in-the-loop, and careful data collection and presentation. Overall, contributions of this study include the design of AI system storyboards which are technically feasible and positively support learner–instructor interaction, capturing students’ and instructors’ concerns of AI systems through Speed Dating, and suggesting practical implications for maximizing the positive impact of AI systems while minimizing the negative ones.


The blockbuster 'Uncharted' scenes we want to see on the big screen

Washington Post - Technology News

To steal the artifact, the three kill the lights to the ballroom and snatch the cross before it's sold at the auction. All goes according to plan -- until it doesn't. Trying to escape the guards, you scale red-tiled Italian roofs, a la "Assassins Creed." Amid all the scaling and jumping, Drake grabs a zipline back toward the ballroom, where Sully is ready with the getaway car. But the line breaks and Drake ends up swinging into an ornate glass window, barreling headfirst into a gunfight alongside Sam.


Senior Data Warehouse Engineer

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Hims & Hers Health, Inc. (better known as Hims & Hers) is a multi-specialty telehealth platform building a virtual front door to the healthcare system. Hims & Hers connects consumers to licensed healthcare professionals, enabling people to access high-quality medical care--from wherever is most convenient--for numerous conditions related to primary care, mental health, sexual health, skincare, and more. Launched in November 2017, the platform also offers thoughtfully created and curated health and wellness products. With products and services available across all 50 states and Washington, D.C., Hims & Hers' mission is to make it easier for all Americans to access affordable care and treatment for conditions that impact their daily lives. In January 2021, the company was listed on the NYSE at an initial valuation of $1.6 billion and is traded under the ticker symbol "HIMS".


Tesla Hits $1 Trillion Market Cap: Role of AI & What Happens If a Driver Falls Asleep?

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Tesla recently hit a $1 trillion market cap for the first time following news that Hertz is ordering 100,000 vehicles to build out its electric vehicle rental fleet by the end of 2022. Elon Musk did it again. Tesla has reinvented the art of designing, building and selling modern cars by leveraging artificial intelligence and machine learning. While most of the auto manufacturing industry buys components from many suppliers, Tesla has built up its own supply chain: it has custom-built its own electric engines, battery packs and self-driving technology, even its own glass. If a driver falls asleep, the car will automatically put on its hazard lights to warn nearby vehicles, slow down and eventually stop.


The Brain Guesses What Word Comes Ne-

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In the midst of a conversation with an acquaintance, your brain might skip ahead, anticipating the words that the other person will say. Perhaps then you will blurt out whatever comes to mind. Or maybe you will nurse your guess quietly, waiting to see if--out of all the hundreds of thousands of possibilities--your conversational partner will arrive at the same word you have been thinking of. Amazingly, your companion will often do so. How does the brain do this?


Artificial Intelligence

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This world's most demanding technology AI will already take place in the 1950s when Alan Turing created the concept of machines. He was the founder of the Turning test that suggests that if machines can also think and perform tasks like humans. Since then, people and many top IT giants work on devices that have the capability of thinking and working like humans. There are lots of definitions taken place in the past few years. Basically, AI or Artificial Intelligence is the ability and architecture of creating smart machines, especially intelligent computer programs.


Now Artificial Intelligence will Anticipate the Recurrence of Breast Cancer

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As chemo is not administered regularly as not all women will receive the benefit from it due to a naturally favorable prognosis. The practitioner's choice is based on the clinicopathological criteria such as age, size of the tumor, lymph node invasion etc. with this decision to administer or not to adjuvant chemotherapy varies between various oncology centers. Most of the genomic signatures exist today to help locate women who can get help from chemotherapy, but they are not recommended by the French National Authority for Health and are also reimbursed by the French National Health Insurance that makes their access and use heterogeneous in France.


'Human-machine hybrid' agency promises faster, effective creative ideas

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"It was really clear to us that the solution to the problem, as it has been in industry after industry, was technology," said Barrett, the chief strategy officer. "We needed to take a radically new approach of the application of technology to the problem of creativity, so we are building machines that humans can use in order to make better advertising faster. If you think of advertising like building a house, you can build a house with hand tools or you can build it with power tools. What we're trying to do is build the power tools. While many agencies tout their artificial intelligence or machine learning capabilities, the founders of Supernatural believe their offering is different because it serves as the agency's nucleus. "So many agencies say they have some kind of version of this, but what they're talking about is an AI algorithm that tests ads after they are already out, or an AI copywriting thing," Caiozzo said. "The entire agency, every single person, collaborates with the platform we're building -- before the ads are made, not after.