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Here's how scientists are using machine learning to listen to fish

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This is an Inside Science story. As the sun rises over the island of American Samoa, a chorus of animal voices drifts upward. They're not the calls of birds, though -- the purrs, clicks and groans are coming from under the water. New research shows how automation can make it increasingly easy to eavesdrop on the fish making the sounds and uncover how their environment impacts them. Jill Munger first heard about fish that make sounds while she was an undergraduate student.


Measure Your Creativity With Natural language processing!

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Natural language processing by means of artificial intelligence is nothing new. Siri helps us with our schedule and Alexa answers our questions about different stuff. But NLP possibilities are not limited to simply answering questions. An ultra-large neural network GPT-3 by Open AI, has been recently released for public use and shows amazing results in solving logical problems and giving answers to general questions. A larger and even smarter neural network and text generation and understanding has been released by DeepMind. Scientists faced the problem of a quick way to assess creativity.


Human error in data analytics, and how to fix it using artificial intelligence

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The benefits of analytics are well-documented. Analytics has helped organisations transform retail experiences, map pathways for trains and trucks, discover extraterrestrial life, and even predict diseases. However, over the past few years, organisations across the globe have wrestled with just how much human error has permeated their analytics attempts, often ending with disastrous results. From crashing spacecraft to sinking ships, transferring billions of dollars to unintended recipients, and causing deaths due to overdose of medication, human error in data analysis has far-reaching ramifications for organisations. The reason for human error in data analysis could be many, such as lack of experience, fatigue or loss of attention, lack of knowledge, or the all-too-common biases in interpreting data. However, what's common among these errors is that they are related to humans reading, processing, analysing, and interpreting data.


How I got my first job in Data Analytics with no prior experience

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Hi, I am Rashi, a Data Analyst at Blue Cross Blue Shield based out of Chicago, and here's a story of securing my first job and other offers with no prior full-time work experience. In the ever-expanding technological world of today, there are new job roles posted each day on company portals, and in the race to the finish line, candidates are forced to apply for any and every job role in the hope to secure one. This becomes especially difficult for new grads or people switching careers. The book of business expects new hires to start adding value to the organization from day 1 while nobody gives you a job without experience, and you can't gain experience without a job. Now, if you are at a point considering a big career change or searching for a job post-graduation, and if you're wondering: do I have a chance of getting hired?


4 times Shakespeare has inspired stories about robots and AI

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Science fiction is a genre very much associated with technological marvels, innovations, and visions of the future. So it may be surprising to find so many of its writers are drawn to Shakespeare – he's a figure associated with tradition and the past. Sometimes his plays are reworked in a science fiction setting. The 1956 film Forbidden Planet is just one of many variations on a "Tempest in space" theme. Sometimes the playwright appears as a character caught up in a time travel adventure.


Rise of the machines: Robot umpires moving up to Triple-A baseball for 2022

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Robot umpires have been given a promotion and will be just one step from the major leagues this season. Major League Baseball is expanding its automated strike zone experiment to Triple-A, the highest level of the minor leagues. MLB's website posted a hiring notice seeking seasonal employees to operate the Automated Ball and Strike system. MLB said it is recruiting employees to operate the system for the Albuquerque Isotopes, Charlotte Knights, El Paso Chihuahuas, Las Vegas Aviators, Oklahoma City Dodgers, Reno Aces, Round Rock Express, Sacramento River Cats, Salt Lake Bees, Sugar Land Skeeters and Tacoma Rainiers. The independent Atlantic League became the first American professional league to let a computer call balls and strikes at its All-Star Game in July 2019 and experimented with ABS during the second half of that season. It also was used in the Arizona Fall League for top prospects in 2019, drawing complaints of its calls on breaking balls.


Machine-learned, light-field camera detects 3D facial expressions – News Medical

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The facial expressions in the acquired 3D images were distinguished through machine learning with an average of 85% accuracy – a statistically …


Low-code and no-code AI tools pose new risks

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This is the promise made by enterprise AI company C3 AI in splashy web ads for its Ex Machina software. Its competitor Dataiku says its own low-code and no-code software "elevates" business experts to use AI. DataRobot calls customers using its no-code software to make AI-based apps "AI heroes." They're among a growing group of tech companies declaring that the days of elitist AI are over. They say with software that requires little to no coding at all, even the lowly marketing associate -- now the "citizen data scientist" -- has the power to create and use data-fueled machine-learning algorithms.


In Texas, driverless trucks are set to take over roads

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A giant 18-wheel transport truck is barreling down a multi-lane Texas highway, and there is no one behind the wheel. The futuristic idea may seem surreal, but it is being tested in this vast southern US state, which has become the epicenter of a rapidly developing self-driving vehicle industry. Before driverless trucks are allowed onto roads and highways, however, multiple tests must still be conducted to ensure they are safe. Self-driving lorries are operated using radars, laser scanners, cameras and GPS antennas that communicate with piloting software. "Each time we drive a mile or a kilometer in real life, we re-simulate a thousand more times on the computer by changing hundreds of parameters," explains Pierre-François Le Faou, trucking partner development manager at Waymo, the self-driving unit at Google's parent company Alphabet.


Computing for Ocean Environments: Bio-Inspired Underwater Devices & Swarming Algorithms for Robotic Vehicles

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Assistant Professor Wim van Rees and his team have developed simulations of self-propelled undulatory swimmers to better understand how fish-like deformable fins could improve propulsion in underwater devices, seen here in a top-down view. MIT ocean and mechanical engineers are using advances in scientific computing to address the ocean's many challenges, and seize its opportunities. There are few environments as unforgiving as the ocean. Its unpredictable weather patterns and limitations in terms of communications have left large swaths of the ocean unexplored and shrouded in mystery. "The ocean is a fascinating environment with a number of current challenges like microplastics, algae blooms, coral bleaching, and rising temperatures," says Wim van Rees, the ABS Career Development Professor at MIT. "At the same time, the ocean holds countless opportunities -- from aquaculture to energy harvesting and exploring the many ocean creatures we haven't discovered yet."