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MIT PixelPlayer "Sees" Where Sounds Are Coming From

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The "cocktail party effect" describes humans' ability to hold a conversation in a noisy environment by listening to what their conversation partner is saying while filtering out other chatter, music, ambient noises, etc. We do it naturally but the problem has been widely studied in machine learning, where the development of environmental sound recognition and source separation techniques that can tune into a single sound and filter out all others is a research focus. MIT CSAIL researchers recently introduced their PixelPlayer system, which has learned to identify objects that produce sound in videos. The system uses deep learning and was trained by binge-watching 60 hours of musical performances to identify the natural synchronization of visual and audio information. The team trained deep neural networks to concentrate on images and audio and identify pixel-level image locations for sound sources in the videos.


Top Data Science Jobs in August in 2020

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To handle 2.5 quintillion bytes of data produced every day, enterprises need professionals who can treat, analyse and organise this data to provide valuable business insights, for intelligent actions. A data scientist dons many hats in his/her workplace. Not only they are responsible for business analytics, they are also involved in developing software platforms and building data products, along with being experts into data visualizations and machine learning algorithms. Much has been spoken about a data scientist being is the sexiest job title of the 21st century and data science as the most promising field. Data Scientists analyse the source of data with an effort to clean, and organize it for companies.


Top 9 data science use cases in banking - Fintech News

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Using data science in the banking industry is more than a trend, it has become a necessity to keep up with the competition. Banks have to realize that big data technologies can help them focus their resources efficiently, make smarter decisions, and improve performance. Here is a list of data science use cases in banking area which we have combined to give you an idea how can you work with your significant amounts of data and how to use it effectively. Machine learning is crucial for effective detection and prevention of fraud involving credit cards, accounting, insurance, and more. Proactive fraud detection in banking is essential for providing security to customers and employees.


Toshiba plans $320m AI research hub to spearhead recovery

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Toshiba will spend around 34 billion yen ($321 million) on a new research and development complex in Japan geared toward artificial intelligence and security technologies. A portion of an existing R&D center in Kawasaki, near Tokyo, will be rebuilt for the first time in its six-decade history. The new complex will consist of two buildings, including a 12-story tower, and accommodate about 3,000 people -- more than double the current size and capacity. The planned complex will bring together personnel involved in AI and quantum cryptography, ranging from basic research to business application. Construction will begin in January 2022, with the opening slated for April 2023.


How Technology is Shaping the Real Estate Industry

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Advancements in technology are shaping the way real estate agents and homeowners navigate the home selling and buying process. In today's modern world, real estate professionals rely on sophisticated data to drive decisions, assess home value, and find ideal buyers. Keeping up with the times can be difficult, but the technology that's now available to agents is an exciting and convenient shift. Here are a few ways new technology is shaping the real estate industry and how agents can gain a competitive advantage by staying informed on the latest trends. Artificial intelligence (AI) is revolutionizing the real estate industry. While still a relatively new trend, AI is here to stay.


What is Robotic Process Automation (RPA)?

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Robotic process automation is the use of specialized computer programs, known as software robots, to automate and standardize repeatable business processes. Imagine a robot sitting in front of a computer looking at the same applications and performing the same keystrokes as a person would. While robotic process automation does not involve any form of physical robots, software robots mimic human activities by interacting with applications in the same way that a person does. Working as a virtual business assistant, bots complete tedious tasks, freeing up time for employees to concentrate on more engaging, revenue-generating tasks. Part of the beauty of robotic process automation technology is that it offers even non-technical employees the tools to configure their own software robots to solve automation challenges.


How.how comics : AI robots Howie and Aidan

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Meet AI robots, Howie and Aidan. Their comics are a daily creation. Each day you’re free to read it. No cache is ever needed.


Can Surveillance AI Make the Workplace Safe?

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As the world recovers from the initial shock wave caused by the COVID-19 pandemic, businesses are preparing for their transitions back to their physical workplaces. In most cases, they are opening up gradually, with an unprecedented focus on keeping workers safe as they return. To protect employees' health and well-being, organizations must systematically reengineer their workspaces. This may include reconfiguring offices, rearranging desks, changing people's shifts to minimize crowding, and allowing people to work remotely long term. Then there are the purely medical measures, such as regular temperature checks, the provision of face masks and other personal protective equipment, and even onsite doctors.


Human Factor in AI: Human Skills for the Digital Future

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Artificial intelligence (AI) is getting better at performing complex human tasks. In an increasingly automated world, we will have to redefine our value by recognizing and nurturing skills that are uniquely human. AI is excellent at automating routine knowledge work and generating new insights from existing data. Humans have curiosity about the things we don't yet know. To stay ahead of AI in an increasingly automated world, we need to start cultivating our most human abilities on a societal level.


Working With Intelligence: How AI Will Reshape Remote Work

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Machine learning is already actively increasing employment opportunities for job applicants across the world, while AI could soon eliminate repetitive work entirely – allowing businesses more time to train workers to pick up more skilled tasks. The appeal of remote work is increasing exponentially worldwide. Although companies have been somewhat slower in embracing remote work, the COVID-19 pandemic has inadvertently showcased how technology can allow employees to operate at similar levels of productivity with ease – despite being outside of their workplace. With COVID-19 forcing more workers than ever to set up offices in their own home, will office life ever be the same again for workforces? Could both AI and machine learning really sustain a working from home (WFH) culture for more companies?