Edison, Morse and Watson? AI poses question of who's an inventor

The Japan Times

WASHINGTON/SEATTLE – Computers using artificial intelligence are discovering medicines, designing better golf clubs and creating video games. Patent offices around the world are grappling with the question of who -- if anyone -- owns innovations developed using AI. The answer may upend what's eligible for protection and who profits as AI transforms entire industries. "There are machines right now that are doing far more on their own than to help an engineer or a scientist or an inventor do their jobs," said Andrei Iancu, director of the U.S. Patent and Trademark Office. "We will get to a point where a court or legislature will say the human being is so disengaged, so many levels removed, that the actual human did not contribute to the inventive concept."

CI/CD for Machine Learning


Rosenbaum: This is the video of a machine-learning simulation learning to walk and facing obstacles, and it's there only because I like it. Also, it's a kind of metaphor for me trying to build the CI/CD pipeline. I'm going to be talking about CI/CD for machine learning, which is also being called MLOps. The words are hard, we don't have to really define these things, but we do have to define some other things and we're going to talk about definitions a lot actually. I'm going to start by introducing myself. I'm on the left, this picture is from DevOpsDays Chicago, our mascot is a DevOps Yak. You can come check out the conference. I work for Microsoft on the Azure DevOps team. I come from a developer background, and then, I did a lot of things with DevOps CI/CD and such. I'm not a data scientist, I did some classes on machine learning just so I can get context on this, but I'm coming to this primarily from a developer perspective. I also run another conference, this is a shameless plug, it's DeliveryConf, it's the first year it's happening, it's going to be in Seattle, Washington, on January 21 and 22. You should register for it right now because it's going to be awesome. The first thing I want to do is I want to set an agenda.

AI-powered 'Otterbot' chatbot helps students navigate choppy waters of financial aid applications


A new Washington state initiative will harness artificial intelligence to make sure high school graduates get the chance to boost their own smarts. Otterbot is a free, AI-powered texting service that can help high school seniors apply for financial aid that covers tuition and fees for college and other training. Last year, Washington ranked 48th among U.S. states for the percent of students who completed federal financial aid applications or FAFSA, a standardized form used for awarding state and federal financial grants. Only 46% of students here completed FAFSA applications. And this fall, more seniors will be eligible for more generous state support for high education thanks to an increase in funding for the Washington College Grant (formerly known as the State Need Grant).

Google's AI powers real-time orca tracking in Vancouver Bay


Google AI today shared that it's created a model for detecting an endangered species of orca whales in the Salish Sea, a waterway between the United States and Canada. Underwater microphones situated at a dozen points in the Salish Sea that includes the state of Washington and Vancouver Bay are used to alert officials when a Southern Resident killer whale is detected. Less than 100 of these whales are thought to still be alive, according to the Center for Whale Research. The orca detection model is the latest from Google, and it follows previous acoustic AI work to detect the sound of chainsaws in rainforests to stop illegal lumber operations and work last year with the National Oceanic and Atmospheric Administration (NOAA) in the U.S. to help protect humpback whales. The orca model runs on a platform operated by the nonprofit Rainforest Connection.

Laws Could Make Washington Leader In AI Regs


With an array of bills brought forward by lawmakers, Washington state could become a leader in artificial intelligence regulation.

TechNative on LinkedIn: #AI #TechNativeTV


Creating successful #AI tools and ensuring their adoption requires a diversity of skills and perspectives. Microsoft's Jo Amato-Tuck and Kate Rosenshine discuss some of the biggest factors.

MOTHS could help scientists develop decision-making programs for autonomous drones

Daily Mail - Science & tech

The flight patterns of moths could help scientists to develop decision-making programs for autonomous drones to help them navigate unfamiliar environments. Researchers led from Washington State in the US analysed how moths flew through a simulated forest of light beams to create a drone navigation model to test. They found that the moths' navigation strategy is highly flexible and best suited for dense forests -- an adaptation that likely evolved in response to their habitat. By using real data from animal flight paths, the researchers said that they should be able to program drones to autonomously navigate cluttered environments. Biologist Thomas Daniel of the University of Washington in Seattle and colleagues mounted eight tobacco hawk moths -- or Mantuca sexta -- on the end of metal rods that were connected to a torque meter.

The 10 Best Master's Programs in Machine Learning (ML) for 2020


Considering various factors such as the research areas, research focus, courses offered, duration of the program, location of the university, honors, awards, and job prospects, we came up with the best universities to help you in your choosing process. This article is most suited for individuals who'd like to pursue a master's degree with a focus on machine learning and need some guidance on their decision making. Feel free to jump to the end if you are looking for only the names of the Universities. Note: The universities mentioned below are in no particular order. Research Ranking in Machine Learning: 7 Research Ranking in AI: 6 Duration: 1–2.5 years Location: Seattle, Washington Core courses: Computer architecture and logic design, computer science, high-level mathematics, electrical engineering basis, artificial intelligence, data science, machine learning, applied machine learning, statistical analysis.

Smiles beam and walls blush: Architecture meets AI at Microsoft


Redmond, Washington and Ithaca, New York – Jenny Sabin is perched high on a scissor lift, her head poking through an opening of the porous fabric structure that she's struggling to stretch onto the exoskeleton of her installation piece, which is suspended in the airy atrium of building 99 on Microsoft's Redmond, Washington, campus. Momentarily defeated, she pauses and looks up. "It's going to be gorgeous," she says. "It" is a glowing, translucent and ethereal pavilion that Sabin and her Microsoft collaborators describe as both a research tool and a glimpse into a future in which architecture and artificial intelligence merge. "To my knowledge, this installation is the first architectural structure to be driven by artificial intelligence in real time," said Sabin, principal designer at Jenny Sabin Studio in Ithaca, New York, who designed and built the pavilion as part of Microsoft's Artist in Residence program.