Robots in the work place can perform hazardous or even 'impossible' tasks; e.g., toxic waste clean-up, desert and space exploration, and more. AI researchers are also interested in the intelligent processing involved in moving about and manipulating objects in the real world.
Technical skills and data literacy are obviously important in this age of AI, big data, and automation. But that doesn't mean we should ignore the human side of work – skills in areas that robots can't do so well. I believe these softer skills will become even more critical for success as the nature of work evolves, and as machines take on more of the easily automated aspects of work. In other words, the work of humans is going to become altogether more, well, human. With this in mind, what skills should employees be looking to cultivate going forward?
The healthcare system in Latin America (LATAM) has made significant improvements in the last few decades. Nevertheless, it still faces significant challenges, including poor access to healthcare services, insufficient resources, and inequalities in health that may lead to decreased life expectancy, lower quality of life, and poor economic growth. Digital Healthcare (DH) enables the convergence of innovative technology with recent advances in neuroscience, medicine, and public healthcare policy.a In this article, we discuss key DH efforts that can help address some of the challenges of the healthcare system in LATAM focusing on two countries: Brazil and Mexico. We chose to study DH in the context of Brazil and Mexico as both countries are good representatives of the situation of the healthcare system in LATAM and face similar challenges along with other LATAM countries. Brazil and Mexico have the largest economies in the region and account for approximately half of the population and geographic territory of LATAM.11
Research papers come out far too rapidly for anyone to read them all, especially in the field of machine learning, which now affects (and produces papers in) practically every industry and company. This column aims to collect the most relevant recent discoveries and papers -- particularly in but not limited to artificial intelligence -- and explain why they matter. This week, a startup that's using UAV drones for mapping forests, a look at how machine learning can map social media networks and predict Alzheimer's, improving computer vision for space-based sensors and other news regarding recent technological advances. Machine learning tools are being used to aid diagnosis in many ways, since they're sensitive to patterns that humans find difficult to detect. IBM researchers have potentially found such patterns in speech that are predictive of the speaker developing Alzheimer's disease.
Industry 4.0 signifies a seismic shift in the way the modern factories and industrial systems operate. They consist of large-scale integration across an entire ecosystem where data inside and outside the organization converges to create new products, predict market demands and reinvent the value chain. In Industry 4.0, we see the convergence of information technology (IT) and operational technology (OT) at scale. The convergence of IT/OT is pushing the boundaries of conventional corporate security strategies where the focus has always been placed on protecting networks, systems, applications and processed data involving people and information. In the context of manufacturing industries with smart factories and industrial systems, robotics, sensor technology, 3D printing, augmented reality, artificial intelligence, machine learning and big data platforms work in tandem to deliver breakthrough efficiencies.
The future of mobility is electric, connected, autonomous and shared. With an estimated $100B invested in autonomous driving globally, autonomous driving technology was pitched as the biggest change in mobility since we stopped using horses. Yet in the midst of the COVID-19 global pandemic, where is this autonomous driving (AD) future we were promised? This episode features a radically open conversation between World Economic Forum's Head of Automotive and Autonomous Mobility Michelle Avary, Professor and Director of Duke University's Humans and Autonomy Laboratory Mary Missy Cummings, and Bryn Balcombe Founder of Roborace, as they discuss how COVID has altered our path to the future of mobility. The discussion twists and turns as Michelle, Missy and Bryn talk through the differences between how AI learns how to drive and how a human learns how to drive, cybersecurity in automated driving, why aftermarket AD tech is a no-go, and what a world with universal basic mobility for everyone could look like.
Cape Canaveral, Florida – A NASA spacecraft is stuffed with so much asteroid rubble from this week's grab that it's jammed open and precious particles are drifting away in space, scientists said Friday. Scientists announced the news three days after the spacecraft named Osiris-Rex briefly touched asteroid Bennu, NASA's first attempt at such a mission. The mission's lead scientist, Dante Lauretta of the University of Arizona, said Tuesday's operation 200 million miles away collected far more material than expected for return to Earth – in the hundreds of grams. The sample container on the end of the robot arm penetrated so deeply into the asteroid and with such force, however, that rocks got sucked in and became wedged around the rim of the lid. Scientists estimate the sampler pressed as much as 19 inches (48 centimeters) into the rough, crumbly, black terrain.
A NASA spacecraft is stuffed with so much asteroid rubble from this week's grab that it's jammed open and precious particles are drifting away in space, scientists said Friday. Scientists announced the news three days after the spacecraft named Osiris-Rex briefly touched asteroid Bennu 200 million miles away. The mission's lead scientist, Dante Lauretta, said Tuesday's operation collected far more material than expected for return to Earth -- in the hundreds of grams. The sample container on the end of the robot arm penetrated so deeply into the asteroid and with such force, however, that rocks got sucked in and became wedged around the rim of the lid. The team was scrambling to put the sample container into the return capsule as early as Tuesday -- much sooner than originally planned -- for the long trip home.
Artificial intelligence (AI) is no longer the stuff of science fiction. The technology is already disrupting multiple industries, many of which impact you on a daily basis. Own an iPhone X? Its facial recognition system is powered by AI. Ever been redirected by Google Maps because of an accident or construction ahead? And those are just a couple of small examples.
The Toyota Research Institute (TRI) is creating artificially intelligent robots that can assist and empower people in their own homes, allowing older generations to age in place and with dignity. According to the United Nations, the global population over the age of 65 is projected to more than double over the next three decades, meaning that over 1.5 billion people around the world will be 65 or older by the year 2050. This unprecedented, impending population shift has inspired TRI to seek options to address the social and economic impacts the graying population will have on the world. TRI says it is focused on creating the technological breakthroughs necessary to make assistive home robots a reality, despite anticipated difficulties. Operating and navigating in a home is, understandably, very challenging for robots, according to the institute, since "every home is unique."
Boston Dynamics announced that it has developed a robot arm for its "Spot" robot and also a charging station. Both will be available for purchase this spring. The robot Spot made quite a splash on the internet last year, thanks to its YouTube videos. The four-legged yellow-bodied robot was shown marching its way autonomously and untethered through a wide variety of terrain in ways reminiscent of a dog; hence its name. The robot dog is available for sale.