startup


Who Will Go into Volume Production First for AI ASICs?

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Artificial intelligence (AI) and deep learning have generated lot of excitement over the past few years. Many semiconductor startups have emerged to build chipsets optimized for AI. They are tackling compute, communication, and memory-related problems specific to AI algorithm accelerations and building highly optimized architectures that promise low power and high performance. Nervana was perhaps the first company to build a chipset specifically for AI, which got started in 2014. Nervana wanted to sell cloud services based on its chipsets and bypass the application-specific integrated circuits (ASICs) altogether.


How ML and AI can be used in Agriculture? – Aditya Dhir – Medium

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Agriculture is one of the prominent activity in the world. Food is one of the basic necessity. Farming is one of the important activity since it fulfills the need of the food. Agriculture is the industry that accompanied us since pre historic times. Whenever farmers do farming they expect great productivity but during the harvesting the productivity is very uncertain.


Global Bigdata Conference

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"We believe that current computing solutions don't stack up for running neural networks (i.e., deep learning) at scale in resource-constrained environments," said Orr Danon, CEO, Hailo Technologies. "Our observation is that the key deficiency is in the architecture of the computer, which was designed for running classical rule-based software. With our technology, it will be possible to bring state-of-the-art deep learning into devices outside the data center at reasonable power and cost. We believe this will enable many interesting use cases, automotive being a leading one."


A hedge fund fully managed by artificial intelligence, with Brandeis roots BrandeisNOW

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A.I. Capital Management, a Brandeis University startup seeking to build one of the world's first hedge funds fully managed by artificial intelligence, has been invited to participate in the 2018 MassChallenge Boston accelerator program. A fintech startup creating artificial intelligence trading systems for foreign exchange markets, A.I. Capital Management uses Deep Reinforcement Learning (RL) method, an algorithmic framework for programming machine behavior. A.I. Capital Management hopes to reinvent the money managing business by building a hedge fund fully managed by artificial intelligence, eliminating human error and emotion. By participating in the 2018 MassChallenge, A.I. Capital Management also gains access to top corporate partners, expert mentorship, a tailored curriculum, scholarship opportunities and more than 26,000 square-feet of co-working space in the Innovation and Design Building all at zero cost and for zero equity. At the culmination of the four-month program, A.I. Capital Management will also have a chance to compete for shares of $1.5 million in cash prizes at the MassChallenge Awards on Oct. 17.


What are the Challenges for Big Data and Artificial Intelligence?

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For the moment, Artificial Intelligence is not regulated in a specific way. This problem needs to be resolved quickly. Any information can be easily stolen by hackers. Highly sophisticated models make us vulnerable to many threats. Moreover, many worry about the control around this technology.


Introducing Samsung NEXT Q Fund

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We are excited to announce Samsung NEXT Q Fund, an early-stage venture fund focused on AI startups. In ML, researchers want to maximize "Q," which is the quality of an action in noisy, partially observable environments. We are interested in startups tackling AI Grand Challenges. Problem spaces we are looking into include learning in simulation, scene understanding, intuitive physics, program learning programs, automl, robot control, human computer interaction, and meta learning, just to name a few. We prefer novel techniques over solutions that "import ai."


Top promising Fintech innovations and technologies

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FinTech (Financial Technology) applies technological innovations, such as mobile devices, software, accurate analytics and data networks within the industry of financial services. FinTech companies are supported by massive funding. Their number is increasing all the time. Such companies have made improvements that lower the likelihood of the mistakes made by humans. They reduce economic fraud or crime, minimize audit risks, enhance the visibility of management and improve compliance of taxes.


Microsoft Acquires AI Specialist Bonsai

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The startup claims large industrial companies as early customers, including those seeking to improve operations via "dynamic control systems" spanning robotics, wind turbines and machine tuning. "To realize this vision of making AI more accessible and valuable for all, we have to remove the barriers to development, empowering every developer, regardless of machine learning expertise, to be an AI developer," Microsoft noted in a blog post announcing the deal. Terms of the acquisition were not disclosed.


Startup that makes robots for Walmart just raised another $29M

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"The End of Work" author John Tamny discusses why technology will help the jobs market and how robots will help the entertainment industry. Walmart's robot maker Bossa Nova Robotics announced on Thursday that it has raised another $29 million to help ramp up its production to fill more retailer requests over the next six months. Martin Hitch, co-founder and chief business officer of the San-Francisco-based robotics company, says the new funding will allow them to produce hundreds of robots a month to meet its new demand for 2019. The new $29 million funding round was led by Cota Capital, China Walden Venture and LG Electronics, which bumps up the company's total funding to $70 million. Bossa Nova also announced a new manufacturing partnership with Flex to expand its production.


Artificial Intelligence: A Race, Startups versus Tech Giants…. By-Utpal Chakraborty

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World of technology is moving in a fast pace. A decade ago it was not so easy to start a new IT company. A new company required a huge amount of initial investment to setup. It was not so easy for startups to develop their ideas and bring them into the world without a huge investment. The technology market has rapidly changed within a decade.