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Brazil Advances to Regulate the use of Artificial Intelligence

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RIO DE JANEIRO, BRAZIL – The government is progressing to govern the use of artificial intelligence in Brazil.


These free apps will transform your professional life, but please keep it quiet - Independent.ie

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First, a disclaimer: please, please don't tell other journalists that I told you about this app. Almost everyone I know wants me to shut up about it, in case it becomes popular and the'free' tier is stripped out. Otter.ai is probably the most useful, transformative app I've come across in years. In other words, it can turn live (or recorded) audio into written, editable text. It's not hard to imagine the utility of such an app for a whole range of working professionals.


Squirrel AI Learning Attends the Web Summit to Talk About the Application and Breakthrough of Artificial Intelligence in the Field of Education

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With a long history, Web Summit has been held once a year since 2009. After ten years of development, it has become a world-renowned and large-scale technology event, and the 2019 Summit has attracted attention from all walks of life. The event not only brought together more than 70,000 leaders of technology enterprises, founders of start-ups and policy makers from more than 160 countries, but also invited more than 2,600 media from all over the world to attend the summit, which has a powerful influence in the world. Although the concept of artificial intelligence is hot, the specific empowerment of artificial intelligence in all walks of life cannot be accomplished at one stroke. At the "Davos Forum of Tech-geeks", many guests shared wonderful perspectives, and expressed their opinions around transportation technology, artificial intelligence, financial technology, earth technology, future technology, wearable devices, big data, front-end design, content creation, fashion and music industry technology and other fields.


r/MachineLearning - [R] Newtonian Monte Carlo - Second order methods for faster MCMC convergence

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Sorry this is not related to the paper itself, but I'm new in research and I've been wondering how papers with so many authors even come together? Its kind of mind blowing to me how an idea gets worked on by so many people? Would something like this be initiated by the graduate student or the professor or someone else?


Why I created the FT Visual Vocabulary in Tableau - The Information Lab

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As the Head Coach of The Data School, I need to be on top of all things Tableau so that I can pass that knowledge onto our trainees. What I really hope they pick up is my method for learning and my constant to desire to get better at my craft. While that's fantastic, unless they have an approach to problem solving, a thirst for learning, and a passion for sharing, I have failed as their coach, teacher, and mentor. A poster and web site to assist designers and journalists to select the optimal symbology for data visualisations, by the Financial Times Visual Journalism Team. The FT Visual Vocabulary is at the core of a newsroom-wide training session aimed at improving chart literacy.


How can we make sure that algorithms are fair?

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As a machine learning expert, I predict there will soon be a new balance between human and machine intelligence, a shift that humanity hasn't …


Beethoven's unfinished tenth symphony to be completed by artificial intelligence

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Beethoven's unfinished symphony is set to be completed by artificial intelligence, in the run-up to celebrations around the 250th anniversary of the composer's birth. A computer is set to complete Beethoven's unfinished tenth symphony, in the most ambitious project of its kind. Artificial intelligence has recently been used to complete Schubert's'Unfinished' Symphony No. 8, as well as to attempt to match the playing of revered 20th-century pianist, Glenn Gould. Beethoven famously wrote nine symphonies (you can read more here about the Curse of the Ninth). But alongside his Symphony No. 9, which contains the'Ode to Joy', there is evidence that he began writing a tenth.


r/MachineLearning - [R] Provably Efficient Exploration in Policy Optimization

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While policy-based reinforcement learning (RL) achieves tremendous successes in practice, it is significantly less understood in theory, especially compared with value-based RL. In particular, it remains elusive how to design a provably efficient policy optimization algorithm that incorporates exploration. To bridge such a gap, this paper proposes an Optimistic variant of the Proximal Policy Optimization algorithm (OPPO), which follows an "optimistic version" of the policy gradient direction. This paper proves that, in the problem of episodic Markov decision process with linear function approximation, unknown transition, and adversarial reward with full-information feedback, OPPO achieves O (\sqrt{d 3 H 3 T}) regret. Here d is the feature dimension, H is the episode horizon, and T is the total number of steps.


Intel Acquires Artificial Intelligence Chipmaker Habana Labs Intel Newsroom

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SANTA CLARA Calif., Dec. 16, 2019 – Intel Corporation today announced that it has acquired Habana Labs, an Israel-based developer of programmable deep learning accelerators for the data center for approximately $2 billion. The combination strengthens Intel's artificial intelligence (AI) portfolio and accelerates its efforts in the nascent, fast-growing AI silicon market, which Intel expects to be greater than $25 billion by 20241. "This acquisition advances our AI strategy, which is to provide customers with solutions to fit every performance need – from the intelligent edge to the data center," said Navin Shenoy, executive vice president and general manager of the Data Platforms Group at Intel. "More specifically, Habana turbo-charges our AI offerings for the data center with a high-performance training processor family and a standards-based programming environment to address evolving AI workloads." Intel's AI strategy is grounded in the belief that harnessing the power of AI to improve business outcomes requires a broad mix of technology – hardware and software – and full ecosystem support.


Intel acquires Israeli chipmaker Habana Labs for $2 billion

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American technology giant Intel Corp. has acquired Israeli AI processor developer Habana Labs in a deal worth approximately $2 billion, the companies announced on Monday.Founded by David Dahan and Ran Halutz in 2016, Tel Aviv-headquartered Habana Labs is the developer of powerful artificial intelligence processors, optimized for training deep neural networks and artificial intelligence systems, and for deployment in production environments.Intel said the acquisition, the company's second largest in Israel to date, will strengthen its artificial intelligence portfolio and accelerate its efforts in the fast-growing AI silicon market, expected to be worth more than $25b. Chairman Avigdor Willenz will serve as a senior advisor to both the business unit and to Intel.The company currently employs 150 people worldwide at its offices in Tel Aviv, Caesarea, California, Beijing and Gdańsk."We We are excited to partner with Intel to accelerate and scale our business. Together, we will deliver our customers more AI innovation, faster."Prior to the acquisition, in November 2018, Intel Capital - the strategic investment arm of the Santa Clara-headquartered chipmaker - led a $75 million Series B round of fundraising for Habana.The purchase of Habana represents Intel's second largest in Israel to date and the latest in a long line of investments in the country. In August 2017, Intel purchased Jerusalem-based vision technology company Mobileye for a record $15.3b., the largest sale or "exit" of an Israeli company yet.Intel, which has been active in Israel since 1974, employs nearly 13,000 workers in the country, exporting products worth $3.9b. in 2018 and procuring local materials and services worth $1.7b., primarily from peripheral areas.In January, Intel announced plans to invest approximately $10.9b. in the company's Israel-based operations to construct a vast production facility in Kiryat Gat.