About a decade ago, Huawei entered the business by setting up a joint venture with British company Global Marine Systems. It expanded its presence by laying short links in regions like Southeast Asia and the Russian Far East. But last September, Huawei surprised industry executives in Japan, the U.S. and Europe by completing a 6,000 km trans-Atlantic cable linking Brazil with Cameroon.
This showed Huawei has acquired advanced capabilities, even though it is still far behind the established players in terms of experience and cable volume.
During the 2015-2020 period, Huawei is expected to complete 20 new cables — mostly short ones of less than 1,000 km. Even when these are finished, Huawei’s market share will be less than 10%. Over the long term, however, the company could emerge as a player to be reckoned with.
The Nikkei Asian Review has an interesting article on Undersea cables — Huawei’s ace in the hole. My impression from Snowden leaks and other readings is that the US and UK have taps at a lot of the cable landing stations and that allows them to listen in on a large proportion of international internet traffic. If China starts building an alternative global network that could provide an alternative network backbone.
After a month or so of being subscribed to Apple News+, today I dropped the subscription. It was one more subscription, and they add up. More importantly, it wasn’t giving me the news. When Notre Dame was burning Apple News+ was feeding me inane lifestyle stories. It didn’t seem to be able to gather and present current news, just glossy magazine articles. Perhaps it wasn’t meant to compete with Google News. Perhaps I wasn’t meant to pay for it.
The conference was opened by Reuben Quinn whose grandfather signed Treaty 6. He challenged us to think about what labels and labelling mean. Later Kim Tallbear challenged us to think about how we want the encounter with other intelligences to go. We don’t have a good track record of encountering the other and respecting intelligence. Now is the time to think about our positionality and to develop protocols for encounters. We should also be open to different forms of intelligence, not just ours.
Generative Adversarial Networks (GANs) analyze tens of thousands of images, learn from their features, and are trained with the aim to create new images that are undistinguishable from the original data source.
They also point out that many of the same concerns people have about AI art today were voiced about photography in the 19th century. Photography automated the image making business much as AIs are automating other tasks.
Can we use these GANs for other generative scholarship?
The research concludes that although welfare reform may be leading to cost savings for the Department of Human Services (DHS), substantial costs are being shifted to vulnerable customers and the community services that support them. It is they that are paying the price of welfare reform.
The Literature Club is full of cute girls! Will you write the way into their heart?
Dr. Ensslin gave a great short survey of digital fiction includ the Doki Doki Literature Club! (DDLC)at the Dyscorpia symposium. DDLC is a visual novel created in Ren’Py by Team Salvato that plays with the genre. As you play the game, which starts as a fairly typical dating game, it first turns into a horror game and then begins to get hacked by one of the characters who wants your attention. The character, it turns out, has both encouraged some of the other girls (in the Literature Club) to commit suicide, but they edits them out of the game itself. At the end of the game she has a lengthy face-to-face with you breaking the fourth wall of the screen.
Like most visual novels, it can be excruciating advancing through lots of text to get to the point where things change, but eventually you will notice glitches which makes things more interesting. I found myself paying attention to the text more as the glitches drew attention to the script. (The script itself is even mentioned in the game.)
DDLC initially mimics the Japanese visual novel genre, down to the graphics, but eventually the script veers off. It was well received in game circles winning a number of prizes.
Isabelle Van Grimde gave the opening talk at Dyscorpia on her work, including projects like The Body in Question(s). In another project Les Gestes, she collaborated with the McGill IDMIL lab who developed digital musical instruments for the dancers to wear and dance/play.
Van Grimde’s company Corps Secrets has the challenge of creating dances that can travel which means that the technologies/instruments have to . They use intergenerational casts (the elderly or children.) They are now working with sensors more than instruments so the dancers are free of equipment.
The law has not caught up. In the United States, the use of facial recognition is almost wholly unregulated.
The New York Times has an opinion piece by Sahil Chinoy on how (they) We Built a (Legal) Facial Recognition Machine for $60. They describe an inexpensive experiment they ran where they took footage of people walking past some cameras installed in Bryant Park and compared them to known people who work in the area (scraped from web sites of organizations that have offices in the neighborhood.) Everything they did used public resources that others could use. The cameras stream their footage here. Anyone can scrape the images. The image database they gathered came from public web sites. The software is a service (Amazon’s Rekognition?) The article asks us to imagine the resources available to law enforcement.
I’m intrigued by how this experiment by the New York Times. It is a form of design thinking where they have designed something to help us understand the implications of a technology rather than just writing about what others say. Or we could say it is a form of journalistic experimentation.
Why does facial recognition spook us? Is recognizing people something we feel is deeply human? Or is it the potential for recognition in all sorts of situations. Do we need to start guarding our faces?
Facial recognition is categorically different from other forms of surveillance, Mr. Hartzog said, and uniquely dangerous. Faces are hard to hide and can be observed from far away, unlike a fingerprint. Name and face databases of law-abiding citizens, like driver’s license records, already exist. And for the most part, facial recognition surveillance can be set up using cameras already on the streets.
This is one of a number of excellent articles by the New York Times that is part of their Privacy Project.