Genre
Mills Media Arts Builds On Its Leadership Position in Artificial Intelligence
HONG KONG, July 15, 2016 /PRNewswire-iReach/ -- Today Mills Media Arts LLC (MMA), formerly known as Mills Agency announced the acquisition of Jump City Media, a Hong Kong based mobile media think tank with a core focus on artificial intelligence. The acquisition gives MMA a global reach with offices now in New York, Los Angeles, London and Hong Kong while also adding more depth to the MMA marketing and mobile media expertise. The advanced mobile solutions group will operate in a new division within the company called Mobile Media Arts lab. Through the use of advanced technologies such as augmented reality, artificial intelligence and proximity aware services, the Mobile Media Arts Lab builds and integrates interoperable technology that propels advances in productivity and profoundly changes how people live in ways that they could not have imagined. The Mobile Media Arts Lab includes some of the top graphic artists, developers, engineers and data scientists in the industry.
A New Learning Method for Inference Accuracy, Core Occupation, and Performance Co-optimization on TrueNorth Chip
Wen, Wei, Wu, Chunpeng, Wang, Yandan, Nixon, Kent, Wu, Qing, Barnell, Mark, Li, Hai, Chen, Yiran
IBM TrueNorth chip uses digital spikes to perform neuromorphic computing and achieves ultrahigh execution parallelism and power efficiency. However, in TrueNorth chip, low quantization resolution of the synaptic weights and spikes significantly limits the inference (e.g., classification) accuracy of the deployed neural network model. Existing workaround, i.e., averaging the results over multiple copies instantiated in spatial and temporal domains, rapidly exhausts the hardware resources and slows down the computation. In this work, we propose a novel learning method on TrueNorth platform that constrains the random variance of each computation copy and reduces the number of needed copies. Compared to the existing learning method, our method can achieve up to 68.8% reduction of the required neuro-synaptic cores or 6.5X speedup, with even slightly improved inference accuracy.
Keynote: Machine Learning for Social Science SciPy 2016 Hanna Wallach
In this talk, I will introduce the audience to the emerging area of computational social science, focusing on how machine learning for social science differs from machine learning in other contexts. I will present two related models -- both based on Bayesian Poisson tensor decomposition -- for uncovering latent structure from count data. The first is for uncovering topics in previously classified government documents, while the second is for uncovering multilateral relations from country-to-country interaction data. Finally, I will talk briefly about the broader ethical implications of analyzing social data. Hanna Wallach is a Senior Researcher at Microsoft Research New York City and an Adjunct Associate Professor in the College of Information and Computer Sciences at the University of Massachusetts Amherst.
Gowild Releases AI Holographic 3D Product - holoera
Gowild Intelligent Technology held the press conference, entitled "When it comes to AI, we are different", for the launch of its new product in Beijing, China on July 8. The event received widespread attention from thousands of people in academia as well as in the technology, gaming, media and entertainment sectors across China and around the world. Gowild released its first generation AI-based 3D holographic product, holoera, that integrates the latest AI engine and VR technology. Transforming the artificial intelligence sector, holoera is the survival carrier on earth of the two dimensional beauty Amber. Amber not only comes equipped with training programs for daily living and learning, but can also receive instructions from its exclusive master, and be instructed based a customized training program. Furthermore, with her superior artificial intelligence, she can engage in barrier-free interaction with humans.
How Companies Are Using Kaggle To Find The Best Machine Learning Talent Udacity
The exponential rise of machine learning is as much a result of technological advancement as it is the active community growing around it. This includes researchers working on core algorithms, as well as practitioners who are pushing the boundaries of how machine learning can be applied. It also includes an increasing number of machine learning enthusiasts with atypical backgrounds who are joining the conversation, bringing in diverse experiences and points of view. The increasingly symbiotic relationship between companies that need machine learning expertise, and data science competition platforms like Kaggle, has greatly impacted how rapid advancement is being achieved. This relationship has also changed the hiring landscape.
Udemy – Create a Chatbot with No Coding [100% off]
This course will help you to gain the skills to use one of the fastest growing mobile technologies, Chatbots. Now you too can learn to build sophisticated Chatbots for your customers all with NO Coding. This course is for those in Web design, marketing and graphics, who want to be able to offer their clients something new and exciting. I will cover Chatbots for Websites, for Facebook, for KiK, and for Slack – although the bots created can be used also on many other services. I will show you examples of travel bots, entertainment bots, productivity bots, and retail bots.
Generating Long-Term Structure in Songs and Stories
One of the difficult problems in using machine learning to generate sequences, such as melodies, is creating long-term structure. Long-term structure comes very naturally to people, but it's very hard for machines. Basic machine learning systems can generate a short melody that stays in key, but they have trouble generating a longer melody that follows a chord progression, or follows a multi-bar song structure of verses and choruses. Likewise, they can produce a screenplay with grammatically correct sentences, but not one with a compelling plot line. Without long-term structure, the content produced by recurrent neural networks (RNNs) often seems wandering and random.
US Senate asks Tesla CEO to come chat about Autopilot
Thune Seeks Answers from Elon Musk on Autopilot Technology Inquiry prompted after tragic death of driver using Tesla's autopilot mode July 14, 2016 WASHINGTON – U.S. Sen. John Thune (R-S.D.), chairman of the Senate Committee on Commerce, Science, and Transportation, seeks answers from Elon Musk, chairman and chief executive officer at Tesla Motors, following the recent death of a driver while using the autopilot mode on a Tesla Model S. The autopilot feature allows the vehicle to automatically steer, change lanes, and manage speed. In Sen. Thune's letter to Musk, he seeks to determine whether the technology performed as intended and Tesla's actions to educate consumers on the benefits and limitations of the technology. The full text of the letter is below: Dear Mr. Musk: I write to you today regarding the recent news of a fatal crash involving a Tesla vehicle. I seek information regarding the actions Tesla Motors has taken thus far, as well as future actions planned in response to this accident. In particular, I am interested in the company's efforts to ensure the Autopilot technology was deployed safely in this instance.
The AL Interview: Dr George Beaton – The Future of AI and NewLaw
Dr George Beaton is a partner in beaton and a senior fellow in Melbourne Law School, Australia. His published works include NewLaw New Rules – A Conversation About the Future of the Legal Services Industry (2013) and Remaking Law Firms: Why & How (2016). You have been a pioneer in research into NewLaw, what place does technology have in NewLaw? Is it central to its development? Just 18 months ago when I wrote Fresh thinking on the evolving BigLaw–NewLaw taxonomy little mention was made of the role of technology in NewLaw or BigLaw business model firms.
Samsung Bets on China's BYD for Growth
SEOUL--Samsung Electronics Co. said it will acquire a stake in BYD Co. via the Chinese electric vehicle and battery maker's 2.3 billion share sale, as the South Korean technology giant bets on the automotive market to drive growth. Samsung's latest move comes as more technology companies tap into the automotive industry as it undergoes a shift toward next-generation vehicles such as electric and self-driving cars.