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Could self-aware cities be the first forms of artificial intelligence?True Viral News
The cities of the future will be huge and super-dense -- but will they also be alive? Could the increasingly complex systems needed to manage the next generation of megacities become our first true artificial intelligence? People have speculated before about the idea that the Internet might become self-aware and turn into the first "real" A.I., but could it be more likely to happen to cities, in which humans actually live and work and navigate, generating an even more chaotic system? As cities become more networked and their mixture of urban infrastructure and surveillance infrastructure becomes more complex, eventually we'll have to build cities that can think for themselves. People have speculated about the potential for computer systems to help in urban planning forever, including papers about the use of "fuzzy logic" to automate the decision-making process and A.I. solutions for land use planning, and the an A.I. "spatial decision support system."
When Japan's PM dressed up as Super Mario
With athletes and viewers exhausted, the closing ceremony for Rio2016 was passing off as expected... Until Japan's Prime Minister Shinzo Abe popped out of a giant green pipe dressed up as video game character Super Mario, one of Japan's best-known exports. It was then the world got a clue that, for Tokyo2020, the next Olympic hosts would take full and shameless advantage of Japan's pop culture icons. The Tokyo2020 video beamed to audiences in Rio showed Mario running excitedly around Tokyo then jumping into his famous green pipe. Cue the slow rise of the green pipe in Rio with a hunched Mario-like figure perched on top. Japan's Prime Minister, not famous for his extrovert displays and pop culture references, emerges dressed as Super Mario and doffs his hat to enthusiastic crowds, then setting social media alight.
Tokyo 2020's Olympics pitch: Mario, Pac-man and co.
In case you didn't notice, the Olympics is wrapping up in Rio, and sports fans now have an endure a whole three years and 11 months until the next one, which happens to be in Tokyo. Japan's Olympic committee decided to highlight that fact by transforming the country's Prime Minister into Mario (naturally), showcasing its distinctive skyline (swoon!), showing some of its athletes you've probably never heard of (sorry!) and a bunch video game and anime characters. It's all backed by a punchy jazz soundtrack, and is likely to give you goosebumps, although I wonder why the creative team wasn't able to book Pikachu in time.
Japanese prime minister as Mario is everyone's Olympic dream
In an epic teaser for the 2020 Tokyo Olympic Games, the prime minister of Japan arrived at the Rio Games through a green pipe dressed as Mario. If that doesn't get you excited for the upcoming Games, nothing will. In that one perfect moment, Shinzo Abe became everyone's hero. PM Abe appears at Rio closing ceremony dressed as Mario. I like the looks of the next Olympics.
Associate Professor/Full Professor With Expertise In Machine Learning job with NANYANG TECHNOLOGICAL UNIVERSITY 34480
Faculty Opening Young and research-intensive, Nanyang Technological University (NTU Singapore) is ranked 13th globally. It is also placed 1st amongst the world's best young universities and ranked 6th globally for Engineering and Technology. With an engineering research output ranked amongst the top seven universities in the world, the College of Engineering (CoE) is a recognised leader in innovation and technology. CoE is the largest College in NTU and comprises six internationally known engineering schools with more than 14,000 students, 550 faculty and 1,400 staff. At the College of Engineering, faculty are encouraged to seek new knowledge, discover and create innovative solutions.
What's the future of Artificial Intelligence? - Raconteur
At present, predictive analytics is the most used form of AI in enterprise and companies are focusing on innovation, patenting their AI developments at a faster rate than ever before. Join us as we explore the rise of artificial intelligence in six charts including the top investors in AI and the most used AI enterprise solutions. As of June 2016, artificial intelligence received 974m of funding. This year's funding is set to surpass 2015's total and CB Insights suggests that 200 AI-focused companies have raised nearly 1.5 billion in equity funding. AI isn't limited to the business sphere, in fact the personal robot market, including'care-bots', could reach 17.4bn by 2020.
Artificial Intelligence Sheds New Light on the Origins of the Bible
Twenty six hundred years ago, a band of Judahite soldiers kept watch on their kingdom's southern border in the final days before Jerusalem was sacked by Nebuchadnezzar. They left behind numerous inscriptions--and now, a groundbreaking digital analysis has revealed how many writers penned them. The research and innovative technology behind it stand to teach us about the origins of the Bible itself. "It's well understood that the Bible was not composed in real time but was probably written and edited later," Arie Shaus, a mathematician at Tel Aviv University told Gizmodo. "The question is, when exactly?" Shaus is one of several mathematicians and archaeologists trying to broach that question in a radical manner: by using machine learning tools to determine how many people were literate in ancient times.
GPT Announces New Developments in Heterogeneous System Architecture (HSA) at HSA ... - Artificial Intelligence Online
IP Cores Designed for HSA Historically GPT has developed IP specifically for the China market. The company recently announced a range of new IP licensing offerings along with an enhanced geographical licensing program. With the company-wide adoption of HSA standards, GPT now licenses IP worldwide. All GPT processors include HSA support and the company is now offering world-class HSA-enabled processors to its customers. The HSA enabled IP core which is sampling now in silicon is a first implementation of GPT's 3-in-1 Unity architecture designed for multidimensional signal processing including image and video processing.
Unifying Decision Trees Split Criteria Using Tsallis Entropy
Wang, Yisen, Song, Chaobing, Xia, Shu-Tao
The construction of efficient and effective decision trees remains a key topic in machine learning because of their simplicity and flexibility. A lot of heuristic algorithms have been proposed to construct near-optimal decision trees. ID3, C4.5 and CART are classical decision tree algorithms and the split criteria they used are Shannon entropy, Gain Ratio and Gini index respectively. All the split criteria seem to be independent, actually, they can be unified in a Tsallis entropy framework. Tsallis entropy is a generalization of Shannon entropy and provides a new approach to enhance decision trees' performance with an adjustable parameter $q$. In this paper, a Tsallis Entropy Criterion (TEC) algorithm is proposed to unify Shannon entropy, Gain Ratio and Gini index, which generalizes the split criteria of decision trees. More importantly, we reveal the relations between Tsallis entropy with different $q$ and other split criteria. Experimental results on UCI data sets indicate that the TEC algorithm achieves statistically significant improvement over the classical algorithms.