As humans, our ethical and moral instincts are shaped by experience and circumstance. Our view of what is morally right or wrong is complicated by our emotional and instinctual responses related to past experience, family, friends, along with our cultural surroundings and actions that we have taken or learned in the past.List of cognitive learning strategies while we may believe there are certain dark lines that cross the line of what is right and wrong, the difficulty of doing the right thing in extreme circumstances may arise from people being unwilling to pay the price that the right action may require.List of cognitive learning strategies

A robot would not suffer from the same ethical dilemma. Its response will be amoral, predetermined by its underlying software. Humans created software structure on which the robot is built.List of cognitive learning strategies facing this future of AI, we must also face these ethical issues. The next generation of AI and the data revolution are upon us. We know that technology moves faster than regulation and that ethics influence law and regulation.List of cognitive learning strategies in order for AI to be trusted and successful, the ethical dilemmas must be addressed, preferably within some common, recognizable framework.List of cognitive learning strategies this framework must address cultural and regional differences while simultaneously accommodating the globalization of commerce and technology.List of cognitive learning strategies this talk looks at the challenges and explores some possible ways forward.

In 2014, a group of students from the eindhoven university of technology set a clear goal to ride around the world in 80 days on an electric motorcycle to show the world what electric vehicles were capable of.List of cognitive learning strategies since a suitable motorcycle to undertake such a tour didn’t exist yet, the dutch students decided to entirely develop it by themselves. A revolutionary vehicle was the result: 400 km range from a self-developed swappable and modular battery pack.List of cognitive learning strategies after completing the 80-day world tour late 2016, the unique knowledge and experience gained in this project was made commercial by founding the spinoff SPIKE technologies.List of cognitive learning strategies SPIKE aims to accelerate the transition towards safe & clean mobility by designing & developing high quality powertrain components for electric vehicles.List of cognitive learning strategies among these components are SPIKE’s battery solutions, that distinguish themselves due to their safety, performance and lifetime, while they can be produced very cost-efficiently due to their unique design.List of cognitive learning strategies until now, SPIKE has supported in the development of a wide variety of electric vehicles and recently established its own battery production facility in the netherlands.List of cognitive learning strategies

Without advances in how the world physically stores and retrieves data, today’s most useful devices and algorithms would not exist. The dominant memory chip technologies such as NAND flash and DRAM rode the wave of innovations in materials, process and device technologies to scale down the path of moore’s law.List of cognitive learning strategies although physical scaling is becoming increasingly difficult, the forces and market pull driving cost, power and density scaling are growing relentlessly.List of cognitive learning strategies the amount of memory in systems for example is increasing geometrically while the power budget continues to decrease. In addition, the applications and resultant memory requirements continue to diversify and expand from traditional handheld devices and larger data centers.List of cognitive learning strategies

A commitment to innovation and creativity at a system level design is required to meet demands of the data age. These innovations will help fuel the next generation of technologies such as self-driving cars, space exploration, artificial intelligence and machine learning, which sounded like science fiction not so long ago.List of cognitive learning strategies several technologies have been proposed over the years with no clear winner. Some of the critical factors which need to be considered for a successful implementation of a new technology include; why and when alternate memory technologies may be needed, what are the performance criteria and related requirements, and what needs to happen in the ecosystem to support a successful new technology.List of cognitive learning strategies the result of this reality is that bottoms up development for a new memory technology may not feasible due to technical risks and cost and we must target application-specific solutions for new future markets.List of cognitive learning strategies

The brain and cognitive sciences are hard at work on a great scientific quest — to reverse engineer the human mind and its intelligent behavior.List of cognitive learning strategies these field are still in their infancy. Not surprisingly, forward engineering approaches that aim to emulate human intelligence (HI) in artificial systems (AI) are also still in their infancy.List of cognitive learning strategies yet the intelligence and cognitive flexibility apparent in human behavior are an existence proof that machines can be constructed to emulate and work alongside the human mind.List of cognitive learning strategies and history suggests that these challenges of reverse engineering human intelligence will be solved by tightly combining the efforts of brain and cognitive scientists (hypothesis generation and data acquisition), and forward engineering aiming to emulate intelligent behavior (hypothesis instantiation and data prediction).List of cognitive learning strategies as this approach discovers the correct neural network models, those models will not only encapsulate our understanding of complex brain systems, they will be the basis of next-generation computing and novel brain interfaces for therapeutic and augmentation goals (e.G, brain disorders).List of cognitive learning strategies in this session, I will focus on one aspect of human intelligence — visual object categorization and detection — and I will tell the story of how work in brain science, cognitive science and computer science converged to create deep neural networks that can support such tasks.List of cognitive learning strategies these networks not only reach human performance for many images, but their internal workings are modeled after— and largely explain and predict — the internal workings of the primate visual system.List of cognitive learning strategies yet, the primate visual system (HI) still outperforms current generation artificial deep neural networks (AI), and I will show recent new clues that the brain and cognitive sciences can offer.List of cognitive learning strategies more broadly, our species is at the beginning of its most important science and engineering quest — the quest to understand and emulate human intelligence — and I hope to motivate others to engage that frontier alongside us.List of cognitive learning strategies