With the rise of artificial intelligence, neural network simulations of biological neuron models are being explored to reduce the footprint of learning and inference in resource-constrained task scenarios. A mainstream type of such networks are spiking neural networks (SNNs) based on simplified Integrate and Fire models for which several hardware accelerators have emerged. Among them, the ReckOn chip was introduced as a recurrent SNN allowing for both online training and execution of tasks based on arbitrary sensory modalities, demonstrated for vision, audition, and navigation. As a fully digital and open-source chip, we adapted ReckOn to be implemented on a Xilinx Multiprocessor System on Chip system (MPSoC), facilitating its deployment in embedded systems and increasing the setup flexibility. We present an overview of the system, and a Python framework to use it on a Pynq ZU platform. We validate the architecture and implementation in the new scenario of robotic arm control, and show how the simulated accuracy is preserved with a peak performance of 3.8M events processed per second.

Internet lore dates the name "Evil Geniuses" back to a Canadian gaming clan that formed around the new millennium. But this isn't the same team that played Quake in British Columbia and it's not the dominant esports organization that courted sponsors while fielding top-tier teams in the early-to-mid 2010′s. Nearly all the players and staff from those days are long gone, aside from Ricki Ortiz, a top-tier fighting games professional who's been with Evil Geniuses for nearly a decade.

Boffin-loving bots are penning potential new Wikipedia pages to recognize the work of notable scientists who are missing from the online encyclopedia. Any human with an internet connection can submit new Wikipedia entries, or edit existing ones. Heck, even AI software can tweak and update the encyclopedia's pages – they even seem to enter cyber-spats, constantly scribbling over one another's changes. Writing an article from scratch is another. It's still difficult for computers to craft long and coherent sentences automatically to do this.

What are the most critical emerging trends for leaders to reckon with in 2018, and how will they shake up the workplace? According to top HR and leadership influencers, this will be a year that challenges leaders to increase the adoption--and impact--of new technologies that are developing at an increasingly fast rate. Each year for the past three years we have analyzed social data from top influencers (listed at the end of this post) to reveal the big topics emerging in leadership as the new year begins. This year's influencer trend data not only reveals the hottest topics now--pictured in yellow in the word cloud below--but also the topics that continue to rise (and rise) and those which are fizzling out based on performance over the past three years. Several of these hot topics are inextricably linked and will have a huge impact on how HR creates new employee experiences--including the application of AI-driven technologies to automate and personalize onboarding, feedback, and coaching.

At what point did we create an artificial intelligence? Was it when we first chiseled on rocks the memory of our debts? Was it that point when we enhanced reasoning by exploring possibilities in the arena of a game? Or when we solved a problem of inference beyond our merely fleshy ability to calculate? The dream of a fully autonomous artificial intelligence, stuff of infinite science-fiction prognostication, has blinded us to the incremental nature of artificial intelligence.