Google Street View

• NEW YORK, April 3, 2024 /PRNewswire-PRWeb/ -- Today Kuula, the cutting-edge 360 virtual tour software company, has announced its new Google Street View feature to provide users a new way to capture immersive, engaging virtual tours for their business needs.
• Kuula's integration with Google Street View offers the ability to capture content with RICOH THETA cameras and easily upload images, placing them on a global street view map.
• Kuula's latest feature expands the way users can share their panoramas by enabling direct publication to Google Street View.
• "By including this new Google Street View feature within the Kuula platform, we are expanding our offerings for customers and providing them with new, innovative options to capture virtual tours for their businesses," says Bartek Drozdz, Co-Founder, Kuula.

• One of the key figures in this, as a contributor to both the science and the debate, is Fei-Fei Li, Sequoia Professor of Computer Science at Stanford, and co-director of AI4All, a non-profit organisation promoting diversity and inclusion in the field of AI.
• One thread is the coming-of-age of the science of AI; the other is an account of her own coming-of-age as a scientist.
• The personal dimension came to the fore, she says, after what was initially a “very nerdy book” was given the thumbs-down by a colleague.

Matter becomes mind

• Her academically trained maternal grandparents found themselves on the wrong side of history during the Cultural Revolution.
• He was, says Li, the kind of parent a child might design for themselves if left to their own devices.
• Throughout The Worlds I See, Li reflects on the influence of this parental binary on her advancing career as a scientist.
• Without her father’s childlike capacity to pay total attention to random phenomena, her research might never have found its innovative path.

• Her own audacious question – “what is vision about?” – came into focus by degrees.
• For someone given to describing her enterprise in terms of revelation and revolution, her actual research on vision seems anything but visionary.
• Matter somehow becomes mind.”

  Read more:
  AI is our ‘Promethean fire': using it wisely means knowing its true nature – and our own minds

What is data?

• She becomes convinced that the principle can be applied to machine learning.
• Amazon Mechanical Turk escalated the scale and speed of their research as categories multiplied, from the original ten to thirty, a hundred, a thousand.
• For Li, the apparently humdrum conviction that learning should be driven by data rather than algorithms arrives as “a moment of epiphany”.
• Digital agents scan diverse areas of data and exchange what they have learned to generate more sophisticated modes of correlation.

Distributed intelligence

• Distributed intelligence means distributed opportunities to participate in the co-evolution of human and machine intelligence.
• Big science and high technology cease to be the exclusive preserve of specialists whose modes of knowledge are beyond the understanding of ordinary people.
• It is the dedicated school teacher, Li says, who is the real emblem of the future in human technology.

• She completed high school while supplementing the family income with a $2 an hour job in a Chinese restaurant.
• Her exams at Princeton were done by special arrangement at the hospital clinic where her mother was undergoing surgery for a deteriorating cardiovascular condition.
• If Li’s efforts can be seen as a feminist enterprise, it is perhaps because the field in which she works is dominated by male celebrities, who persist in seeing the future as a Darwinian struggle between human and machine intelligence.
• If there is an overriding theme in The Worlds I See, it is that human and artificial intelligence form a double helix.

Jane Goodall does not work for, consult, own shares in or receive funding from any company or organisation that would benefit from this article, and has disclosed no relevant affiliations beyond their academic appointment.

• Yet, there has historically been no consistent and complete way to measure or communicate cycling infrastructure.
• In 2019, we developed the Canadian Bikeway Comfort and Safety Classification system (Can-BICS) to classify cycling infrastructure by comfort and safety.
• The Can-BICS project not only provides a useful tool for Canadian cyclists, it also provides a clear window into the current state of Canadian cycling infrastructure.

How we built a national dataset

• As researchers specializing in the links between the built environment and cycling, we often found ourselves piecing together datasets from different Canadian cities.
• Another issue was that complete and up-to-date data are not even available for all municipalities in Canada.
• A national map needs to indicate different types of facilities, as not everyone is willing to cycle alongside motor vehicles.
• The result is the first-ever national dataset of cycling infrastructure in Canada.

Cycling infrastructure mapped across Canada

• With the national dataset in place, we identified nearly 23,000 km of cycling infrastructure meeting Can-BICS standards across Canada.
• We found that in Canada, multi-use paths are the most common infrastructure type by length (16.6 per cent of all cycling infrastructure detected), followed by painted bike lanes (11 per cent).
• High-comfort infrastructure (cycle tracks, bike-only paths and local street bikeways) made up only 4.3 per cent of all detected cycling infrastructure.

Harnessing data

• The national cycling infrastructure dataset can support local, regional and federal governments in deciding where to invest in cycling infrastructure.
• Better biking infrastructure, designed by women

  The dataset is open for use by other researchers and planning practitioners interested in relating cycling infrastructure to other nationally available metrics such as census data.

• International researchers may be interested in our methodology to develop datasets of cycling infrastructure in their own jurisdictions.

• Hayden AI today announced that Luc Vincent, a former AI leader at Meta, has joined the company as its Chief Product & Technology Officer.
• “We are absolutely thrilled to have Luc on our team,” Chris Carson, CEO and co-founder of Hayden AI, said.
• Prior to joining Hayden AI, Vincent was VP of Engineering & Product Group Lead at Meta, where he led one of the company's AI Innovation Centers.
• in Computer Science from University of Paris XI; and a PhD in Computer Vision from MINES ParisTech.