An architecture and a learning procedure where: An agent is made up of many experts All experts share the same communication policy (expert policy), but have different internal memory states There are two levels of learning, an inner loop (with a communication stage) and an outer lo op In ner loop - Agent's behavior and adaptation should emerge as a result of e xperts communicating between each other. Expert s send messag es (of any complexity) to each other and update their internal states based on observations/messages and their internal state fr om the previous time-step. Expert policy is fixed and does not c hange during the inner loop Inner loop loss need not even be a proper loss function. It can be any kind of structured feedback guiding the adaptation during th e age nt's lifetime Outer loop - An expert policy is discovered over generations of agents, ensuring that strategies that find solutions to prob lems in divers e environments can quickly emerge in the inner loop Agent's objective is to adapt fast to novel tasks Exhibiting the following novel properties: Roles of experts and connectivity among them assigned dynamically at inference time Learned communication protocol with context dependent messages of varied complexity Generalizes to different numbers and types of inputs/ou tputs Ca n be trained to handle variations in architecture during bot h training and testing Initial empirical results show generalization and scalability along the spectrum of learning types.

We present SafeLife, a publicly available reinforcement learning environment that tests the safety of reinforcement learning agents. It contains complex, dynamic, tunable, procedurally generated levels with many opportunities for unsafe behavior. Agents are graded both on their ability to maximize their explicit reward and on their ability to operate safely without unnecessary side effects. We train agents to maximize rewards using proximal policy optimization and score them on a suite of benchmark levels. The resulting agents are performant but not safe---they tend to cause large side effects in their environments---but they form a baseline against which future safety research can be measured.

The use of robots in the workplace has more than double in just a 12 year period, displacing 50 percent of many human workers across the US, studies have found. A new interactive map provides more detail into this'robot exposure' by highlighting the top 10 metropolitan areas threatened by this machine takeover – California being listed as number one. In addition to areas most at risk, experts found that automation is displacing younger, less-educated and minority workers at the highest rates. The study and map were developed by The Century Foundation, a progressive think tank headquartered in New York City, which looked across more than 250 metropolitan areas to understand this'robot intensity'. Los Angeles, Long Beach and Santa Ana, California were ranked number one, followed by Chicago, Naperville and Joliet in Illinois.

For the second consecutive year, the Department of Economic Development and Commerce announced the allocation of $100,000 from its Special Economic Development Fund, for 60 young people to participate in the IOTeen Eco Technology and Business Education Project, aimed at training them to master skills related to the Internet of Things (IOT), robotics and entrepreneurship. "For 18 consecutive Saturdays starting in January, these young people will meet at the Engine-4 facilities. This is an excellent opportunity for Puerto Rican youth to create and shape the Smart City that the Engine-4 team has been working on for a while," said Manuel Laboy, Secretary of Economic Development and Commers. He added that the lab's facilities in Bayamón are expanding, following a contribution from the Department of Economic Development, through its Youth Development Program and the municipality of Bayamón. Meanwhile, Roberto Carlos Pagán-Santiago director of the Youth Development Program, said "over time, technology has become an essential part of young people's daily lives. Every day, this field generates more interest among students, who decide to take on a university career focused on this field."

The first Managing Mental Health & Wellbeing in the Workplace online course will be launched in December. In the Industrial Revolution 4.0, it is no longer about if companies should integrate artificial intelligence (AI) into their organisation, but about when and how. While it is natural to worry about AI replacing humans, thankfully, a recent whitepaper by Live with AI noted that jobs brought by the AI revolution won't be only reserved to computer specialists, enhanced human roles will emerge as well. The whitepaper noted that this is due to AI disrupting jobs task by task and not by entire job roles – something HR leaders can leverage on to disrupt disruption. Think about using tasks to better track technology impact, chart clearer pathways between jobs, and improve work prospects for people.

In the Industrial Revolution 4.0, it is no longer about if companies should integrate artificial intelligence (AI) into their organisation, but about when and how. While it is natural to worry about AI replacing humans, thankfully, a recent whitepaper by Live with AI noted that jobs brought by the AI revolution won't be only reserved to computer specialists, enhanced human roles will emerge as well. The whitepaper noted that this is due to AI disrupting jobs task by task and not by entire job roles – something HR leaders can leverage on to disrupt disruption. Think about using tasks to better track technology impact, chart clearer pathways between jobs, and improve work prospects for people. With human roles still being very relevant in the age of AI and automation, it is important to take into account the "human cause" in an automation journey, augmenting a task that satisfies the worker, not replacing it. This effectively places humans at the heart of the transformation process.

This story began in Madrid, Spain. The winter was comming, and a team of four young enthusiasts started a project. The initial idea was to create an app to learn Sign Language, not only because it is an interesting aspect of our society, but for those 34 million children with disabling hearing loss that need to learn it to communicate. The beauty of technology is that it can be used to help others too. We aimed to do exactly that.

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Neha hops to the grocery store. They're all part of the Waymo early rider program we launched last April. Today, over 400 riders with diverse transportation needs use Waymo every day, at any time, to ride all around the Phoenix area. Their feedback helps us understand how fully self driving cars fit into their daily lives. One year in, our early rider program and our extensive on-road testing is helping us build the world's most experienced driver.

The researchers' findings confirm what employers have reported in recent months: The demand for soft skills will only increase as automation takes hold. In a Cengage survey released earlier this year, employers said they most needed workers who could listen, pay attention to detail, communicate effectively, think critically, demonstrate interpersonal skills and learn new skills. Similarly, a recent Workhuman report concluded that, despite tech's ever-increasing presence in the workplace, the future of work will be people-focused, not machine centered. In fact, that future will create more opportunities for employers to "leverage the previously untapped creativity and innovation of people -- to prioritize humanity and emotional intelligence at work," Workhuman said. Employers may well be recognizing that opportunity: they identified "soft skills" as their top training priority in a LinkedIn poll last year. Leadership, communication and collaboration are all skills that can be taught, experts previously told HR Dive.