On the look-out for robots and drones, I was rather disappointed when I was recently walking around in San Francisco. Where are those little parts of the future that caused so much backlash over the last few months? Recently, San Francisco was the city where food delivering robots and electronic scooters were taking over the streets. When walking there today, I do not see any of them, so what happened? Because of its role as a playground for new industries, being a start-up hub in the vicinity of Silicon Valley, San Francisco was overwhelmed by new toys of the industry.

Robotics firm Boston Dynamics has unveiled the latest version of its highly-advanced Atlas robot, showing the machine performing parkour tricks over obstacles. Boston Dynamics describes Atlas as the "world's most dynamic humanoid," with previous videos showing the robot performing backflips. "The control software uses the whole body including legs, arms and torso, to marshal the energy and strength for jumping over the log and leaping up the steps without breaking its pace," the video's description states. A caretaker wearing a'HAL for care support' robot suit pushes a wheelchair at Shin-tomi nursing home in Tokyo. Residents follow moves made by humanoid robot'Pepper' during an afternoon exercise routine at Shin-tomi nursing home in Tokyo.

Following a series of recent events involving policymakers from Trump's Administration and Capitol Hill, artificial intelligence (AI) was the second hottest topic in D.C. These events, described in detail below, demonstrated that policymakers are moving to the next phase of policy issues related to the further development and integration of AI into society. From the 2016 reports issued under the Obama Administration, to a White Paper issued by one of the key congressional committees, to a call by key senators to have the federal government engage its ability to help advance technology, Washington continues to develop a path forward on AI and the role of government. Below is a short summary on each of these events along with a hyperlink to each report. Will Hurd (R-TX) and Robin Kelly (D-IL), in their capacity as Chairman and Ranking Member of the Subcommittee on Information Technology of the Committee on Oversight and Government Reform, released a white paper entitled Rise of the Machines: Artificial Intelligence and its Growing Impact on U.S. Policy.

What effect will job displacement due to AI have on the worldwide economy? As outlined in my new book AI Superpowers, 40-50% of our jobs will be technically and economically doable by AI and automation over the next 15 years. So AI certainly cannot do most things that we humans can do. Disruption will hit the industry in areas with the largest number of routine jobs – manufacturing, call centers, banks, retail, etc. It will also cause existing players to compete on their speed of automation.

Readers, please take our advice: Using 000000 or that other favorite, 123456 as the easy out for your smartphone six-digit credentials will save you time, but it won't protect your device. Superstar rapper Kanye West went to the White House on Thursday and showed his iPhone passcode to the world, in front of cameras. President Donald Trump meets rapper and producer Kanye West and retired football player Jim Brown in the Oval Office on Oct. 11. West, who is a Trump supporter, met with the President to discuss prison reform and other issues. Sure, iPhones now have FaceID, making the six-digit passcode less important.

Machine learning tools are designed to detect patterns, and they often reflect back the same biases we already know exist in our culture. Algorithms can be sexist, racist, and perpetuate other structural inequalities found in society. But unlike humans, algorithms aren't under any obligation to explain themselves. In fact, even the people who build them aren't always capable of describing how they work. That means people are sometimes left unable to grasp why they lost their health care benefits, were declined a loan, rejected from a job, or denied bail--all decisions increasingly made in part by automated systems.

Accurately estimating the remaining useful life (RUL) of industrial machinery is beneficial in many real-world applications. Estimation techniques have mainly utilized linear models or neural network based approaches with a focus on short term time dependencies. This paper introduces a system model that incorporates temporal convolutions with both long term and short term time dependencies. The proposed network learns salient features and complex temporal variations in sensor values, and predicts the RUL. A data augmentation method is used for increased accuracy. The proposed method is compared with several state-of-the-art algorithms on publicly available datasets. It demonstrates promising results, with superior results for datasets obtained from complex environments.

Doctoral students at Stevens Institute of Technology hope the robot they're developing will be able to dive into waters and perform tasks that could be very dangerous for humans. "We would like the robot to be able to do infrastructure inspections, ideally to assess the integrity of underwater infrastructure, make sure everything is intact, working properly, that there are no damages or defects. Or potentially from a security standpoint, that there are no anomalies planted on an underwater piece of infrastructure," said Dr. Brendan Englot, professor of mechanical engineering. To do this, the robot must be able to understand its location in the water and be able to accurately find the structures it needs to assess. Through a process called machine learning, the robot gathers data and improves its own performance.

Well-known Belfast startup Axial3D produces 3D prints of your body parts. This isn't to satisfy the narcissistic social media types – it has important surgical implications. This previous TechWatch article describes the company's process. Now, Axial3D is developing new AI techniques to make instantaneous the transition from 2D images to 3D prints. How are they doing that?

The value of the U.S. space robotics market is expected to grow to $4.36 billion by 2023. Growing importance of on-orbit satellite servicing, on-orbit manufacturing, assembly in space, and focus of government agencies and commercial entities on space robotic solutions are driving the space robotics market. The space robotics market is estimated to grow from $2.88 billion in 2018 to $4.36 billion by 2023, at a Compound Annual Growth Rate (CAGR) of 8.64 percent from 2018 to 2023. Increased investments in space exploration missions, growing demand for Geostationary Orbit (GEO) satellite servicing, on-orbit manufacturing and assembly, debris removal, and technological advancements in autonomous systems are key factors anticipated to drive the growth of the space robotics market. Growth can also be attributed to the increasing demand for space robotics solutions from commercial, government, organizations, space agencies, defense organizations, and satellite operators as well as NewSpace companies.