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How robot carpenters could help solve Canada's housing crisis

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Promise Robotics CEO Ramtin Attar with a few Kuka Industrial robots similar to ones fitted with custom tooling developed by Promise Robotics to perform complex construction tasks. Robots constructing homes may sound like science fiction. Yet a Toronto-based startup aims to make this futuristic idea a reality within the next year, leveraging advances in automation, advanced manufacturing, cloud computing and artificial intelligence (AI). Promise Robotics was launched in 2019 by founders Ramtin Attar – a former technology lead at a multinational technology company – and Reza Nasseri, the chief executive officer of Landmark Homes. The technology company, which also has operations in Edmonton, seeks to bring emerging technologies to the home building industry to address the industry's biggest challenge: meeting the rising demand for housing amid a growing shortage of affordable homes.


RO-MAN 2021: Robot and Human Interactive Communication including Roboethics

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RO-MAN 2021 (IEEE International Conference on Robot and Human Interactive Communication) is coming soon, from 8 to 12 August 2021, and we are taking part in the conference once again, this year as silver sponsors. RO-MAN 2021 (this year taking place virtually) is a key event in the community of Robot & Human technologies, which we at PAL Robotics are committed to contributing to. RO-MAN this year celebrates its 30th anniversary. This annual academic conference was launched in 1992 in Tokyo, Japan and is sponsored by the IEEE Robotics and Automation Society. RO-MAN 2021 is being organised by the University of British Columbia and the University of Waterloo, Canada.


The latest in humanoid robots: TALOS, Memmo & Humanoids 2020

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Last week we participated in The IEEE-RAS International Conference on Humanoid Robots (Humanoids) as Gold Sponsors. We took part in the workshops'Towards physical-social human-robot interaction,' and'TALOS: Status & Progress', as invited speakers, as well as offering a Virtual Tour of our legged robots including our latest projects, SOLO12 & Kangaroo. The IEEE-RAS International Conference on Humanoid Robots is the internationally recognized prime event of the humanoid robotics community. Established in 2000 and held annually, the Humanoids Conference is a forum for researchers working in the area of humanoid robots including mechatronics, control, perception, planning, learning, human-robot interaction, biomechanics, artificial intelligence, cognition, and neuroscience. Although this year's event took place virtually, PAL Robotics has previously taken part in Humanoids Conferences around the world, including in Toronto, and Beijing in recent years. At the event, we offered a Virtual Tour of all of our legged robots featuring our Humanoids Team: Sai Kishor, Adrià Roig, and Narcis Miguel.


DigiMax Expands Global Marketing into Asia with Signing of Collaboration Deal in Hong Kong, by @accesswire

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TORONTO, ON / ACCESSWIRE / July 28, 2021 / DigiMax Global Inc. (the'Company' or'DigiMax') (CSE:DIGI)(OTC:DBKSF), a company that provides artificial intelligence ("AI") and cryptocurrency technology solutions, is pleased to announce that it has signed its first collaboration agreement to expand CryptoHawk services into Hong Kong and surrounding areas. CryptoHawk is an Artificial Intelligence driven, price-trend prediction tool that can be profitably used by any investor interested in trading Bitcoin or Ethereum. The tool is different as it uses AI and machine learning to capture profit from the volatility of crypto currencies, rather than incur the risk of buy-and-hold investments. As previously announced by the Company, in its first full month of operation in June 2021, CryptoHawk signals achieved a 1-month, long-short return on BTC of more than 25% compared to a buy-and-hold return for the same period of a loss of 10%. In both up and down markets, CryptoHawk has the potential to deliver subscribers much higher returns when trading.


UAE's Lunar Rover Will Use Artificial Intelligence To Explore The Moon - AI Summary

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"With the support of the Canadian Space Agency, Canadian scientists and engineers will be able to participate in near-term missions to the lunar surface," said Ewan Reid, president and chief executive of Mission Control. Reem Mohammed/The National The Emirates Lunar Mission logo as revealed by Sheikh Hamdan bin Mohammed, Crown Prince of Dubai. UAE's lunar mission also aims to study lunar soil, as well as dust. Reem Mohammed/The National The Mohammed bin Rashid Space Centre is carrying out the Emirates Lunar Mission. The Emirates Lunar Mission will also be provided with wired communication and power during the cruise phase and wireless communication on the lunar surface by iSpace.


U of T prof's AI startup, Deep Genomics, raises US$180 million: The Globe and Mail

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Deep Genomics, an artificial intelligence startup founded by the University of Toronto's Brendan Frey, has secured US$180 million from investors, including Japanese multinational Softbank and Canada Pension Plan Investments, the Globe and Mail reported. Launched in 2015, the startup uses machine learning to develop treatments for genetic diseases. According to the Globe and Mail, Deep Genomics currently has 10 drugs in pre-clinical development, four of which are set to enter human trials by mid-2023. It is also working with San Francisco Bay-area biopharmaceutical company BioMarin Pharmaceutical Inc. to identify drug candidates for rare diseases. "These are all new chemical entities that would not exist" without Deep Genomics' technology," Frey, who is CEO of Deep Genomics and a professor in U of T's Faculty of Applied Science & Engineering, told the Globe.


Machine learning applications need less data than has been assumed

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A combined team of researchers from the University of British Columbia and the University of Alberta has found that at least some machine learning applications can learn from far fewer examples than has been assumed. In their paper published in the journal Nature Machine Intelligence, the group describes testing they carried out with machine learning applications created to predict certain types of molecular structures. Machine learning can be used in a wide variety of applications--one of the most well-known is learning to spot people or objects in photographs. Such applications typically require huge amounts of data for training. In this new effort, the researchers have found that in some instances, machine learning applications do not need such huge amounts of data to be useful.


The Rise of the Transformers: Explaining the Tech Underlying GPT-3

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The capabilities of GPT -3 has led to a debate between some as to whether or not GPT-3 and its underlying architecture will enable Artificial General Intelligence (AGI) in the future against those (many being from the school of logic and symbolic AI) who believe that without some form of logic there can be no AGI. The truth of the matter is that we don't know as we don't really fully understand the human brain. With science and engineering we work upon the basis of observation and testing. This section also addresses points raised by Esaú Flores. Gary Grossman in an article entitled Are we entering the AI Twilight Zone between AI and AGI? observed that in February 2020, Geoffrey Hinton, the University of Toronto professor who is a pioneer of Deep Learning, noted: "There are one trillion synapses in a cubic centimeter of the brain. If there is such a thing as general AI, [the system] would probably require one trillion synapses." The human brain has a huge number of synapses. Each of the 1011 (one hundred billion) neurons has on average 7,000 synaptic connections (synapses) to other neurons. It has been estimated that the brain of a three-year-old child has about 1015 synapses (1 quadrillion).


The Future of AI and Big Data: Three Concepts

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"We are probably in the second or third inning." Lo, a professor of finance at the MIT Sloan School of Management, and Ajay Agrawal of the University of Toronto's Rotman School of Management shared their perspective at the inaugural CFA Institute Alpha Summit in May. In a conversation moderated by Mary Childs, they focused on three principal concepts that they expect will shape the future of AI and big data. Lo said that applying machine learning to such areas as consumer credit risk management was certainly the first inning. But the industry is now trying to use machine learning tools to better understand human behavior.


Grieving man uses AI site to 'chat' with dead girlfriend

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A grieving Canadian man used pioneering artificial intelligence software to have life-like online "chats" with his girlfriend -- eight years after she died. Joshua Barbeau, 33, told the San Francisco Chronicle how he paid just $5 to use a beta test of GPT-3, AI software first developed by a research group co-founded by Elon Musk. Still overwhelmed by grief after losing 23-year-old girlfriend Jessica Pereira in 2012, Barbeau said he used her old text messages and Facebook posts to help the chatbot mimic his late lover's writing voice. In scenes from an episode of "Black Mirror" or the movie "Her," Barbeau broke down in tears during a 10-hour, all-night chat in September that at times eerily mimicked the woman he had lost to liver disease. "Of course it is me!" the chatbot he named after Pereira told him at the start of their talk, according to transcripts the freelance Dungeons & Dragons writer from Bradford, Ontario gave the California newspaper.