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AI Startups Still Rising, Competition Gets Hot – This Week in Artificial Intelligence 12/19/15

Daniel Faggella

Daniel Faggella is the founder and CEO at Emerj. Called upon by the United Nations, World Bank, INTERPOL, and many global enterprises, Daniel is a sought-after expert on the competitive strategy implications of AI for business and government leaders.

AI Startups Still Rising, Competition Gets Hot - This Week in Artificial Intelligence 12/19/15

1 – Google Raids Threaten Canada’s Lead in Artificial Intelligence

Compared to California’s tech industry, Canada’s may be smaller (about 1/3 the size), but its output over the years has included breakthrough technologies in facial recognition algorithms (used by Facebook), the Google photos app, smart voice recognition, and robotics technology. Recently, however, Canada has lots some of its ground due to an increase in lead top researchers and scholars leaving the country for U.S. companies like Google and ivy league universities. Some of Canada’s business and academic institutions are taking moves to help prevent a slip by investing more in its technology sector, opening new offices and investing in accelerators, moves that could retain and invite back top talent.

(Read the full article on BloombergBusiness)

2 – Toyota to Buy Stake in Artificial Intelligence Firm

Toyota Motor Corp. announced its plans to acquire a 3% stake ($8.2 million) in Preferred Networks, a Tokyo-based machine-learning company, furthering its role in the development of self-driving cars.  Preferred Networks has partnered with Toyota since 2014, but details of their progress in the domain have not been released. Toyota has talked of its plans to have fully self-driving autos on the highway, with the ability to get on and off the highway autonomously, by 2020. The purchase also speaks to the rising value of Preferred Networks

(Read the full article on The Wall Street Journal)

3 – Motion AI Raises $700,000 to Expand Artificial Intelligence Chatbot Service

Motion AI Founder David Nelson has raised $700,000 to help build out his company, which will create AI chatbots for retail, restaurant, and company service use. Conversation flow will be aided by drag-and-drop modules, and the chat agents will be able to perform a number of lower-level tasks like taking orders, answering frequent questions, or helping direct complaints. Nelson also envisions businesses using the collected data to help steer both product and service decisions. At the age of 22, Motion AI is Nelson’s third entrepreneurial endeavor since the age of 15.

(Read the full article on the Chicago Tribune)

4 – Deep-Learning Algorithm Predicts Photos’ Memorability at “Near-Human” Levels

A group of MIT CSAIL researchers have developed an algorithm that can predict the most memorable parts of a photograph or image. The “MemNet” algorithm, which uses a heat map in its assessment, is almost as good as humans at making these best guesses. The team plans to release MemNet as an app to help optimize photos; they see a wide range of applications, from improving success of ads or social media posts, to developing better teaching resources, to serving as a type of digital “health-assistant” to augment human memory.

(Read the full article on MIT News)

5 – Cognitive Computing and Artificial Intelligence Systems in Healthcare

PRNewswire released an industry-wide report on the market state of cognitive computing and artificial intelligence systems in healthcare. The report focuses on market opportunity for artificial intelligence in healthcare, looks at market forecasts, and analyzes the competitive field for developers. The study uncovered several themes, including the importance of AI vendors and companies forming strong partnerships with hospitals and healthcare providers in order to encourage scaled implementation and broad acceptance of AI solutions. AI healthcare solutions are predicted to be a significant factor in the democratization of healthcare.

(Read the full article on PRNewswire)


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