Edge2AI Talk Details Machine learning models find patterns in data and can automate decisions that are critical for businesses today. Please join us for a chat with Jordan Birdsell from phData and our usual great pizza, drinks, and conversation! Jordan Birdsell will provide you with a 4 step action plan for how to build an enterprise Machine Learning application that can solve real business problems. The tutorial introduces you to building an end-to-end machine learning solution using MiNiFi, NiFi, Kafka, Kudu, Impala, Spark, and CDSW. With more than 10 years of experience launching successful Analytics and Data Science organizations at large enterprises, Jordan Birdsell now brings his expertise and knowledge to our clients around the globe.

You don't need a professional degree to master AI and ML, but you do need boundless passion.

Machine learning is one of the hottest topics in tech at the moment. Companies are hungry to hire professionals with machine-learning knowledge, even if it costs them quite a bit more than a "standard" technologist salary. The just-released IEEE-USA Salary & Benefits Salary suggests that engineers with machine-learning knowledge are making an average of $185,000 per year. That places them second among the survey's top-paid engineering jobs; only engineers who specialized in smartphones and wearables made more ($215,771). On the other end of the scale, engineers specializing in robotics and automation only pulled down an average of $130,000.

September 13, 2019: Brain-machine interfaces (BMI) applications, be they noninvasive (positioned on the body) or invasive (inserted into the body) significantly amplify the liability concerns that we are already familiar with through experience with, for example, implantable medical devices. The liability amplifying variable here is capability: the BMI's potential to cause wide-ranging harm is far greater than a legacy medical device. For instance, injecting a virus carrying nanobots to fight a disease or to carry out another mission is vastly different and carries an intrinsic operational risk that is vastly greater than implanting a pacemaker. Iterative liability, XAI, and the regulation of AI discussed in this post coalesce into a normative and legal safety net that can help mitigate the risks associated with BMI. July 19, 2019: Regulating AI behavior is necessary in order to mitigate harm.

Join UoB Business Club for valuable insight into applications of Artificial Intelligence (AI) in industry and discover the support available from the University of Birmingham and the Science & Technologies Facilities Council to businesses seeking to investigate potential applications of AI in their processes. Complimentary breakfast is included in this free event. Mohan is a Senior Lecturer in the School of Computer Science. His primary research interests include knowledge representation and reasoning, machine learning, computer vision and cognitive systems as applied to autonomous robots and adaptive agents. Mohan develops architectures and algorithms that enable robots to collaborate with non-expert human participants, acquiring and using sensor inputs and high-level human feedback based on need and availability.

Matthew is one of the founders of the World Futures Forum (WFF) and will be one of our highly anticipated speakers at WFF on 24th September 2019. The inaugural 2019 World Futures Forum Summit, being held in London this September is your opportunity to discover and discuss the exponential technologies and megatrends that are shaping our world, and driving the new global economy. It's where business, culture, and technology converge, to give you access to some of the most innovative companies and people in the world.

Artificial intelligence is making its way into the classroom -- but don't expect to see teachers replaced by robots any time soon (although their teaching assistants might be). While still in its infancy, AI is starting to influence the way teachers teach and the way learners learn. While the concept of adaptive learning isn't new -- where course content is adapted to the needs of the learner -- AI will make this much more personalized. "The traditional textbook business model is pretty much dead," says Michael Bliemel, dean of the Faculty of Business and Information Technology at Ontario Tech University. To remain relevant, publishers are investing in adaptive learning and, in some cases, incorporating AI.

Discuss the good it might do, how it might be used in the future and what the product makers should consider - your privacy, how you want to use it, and how far it should go. This afternoon will allow 14-25 year olds to get hands on with AI products, give you a chance to voice your thoughts and be considered as this technology develops. It's all around us, here's what we think a healthy AI should be: Artificial intelligence might bring to mind futuristic tech, like superhuman robots or devious computer systems. But algorithms that make decisions for us are embedded in emerging and familiar technologies today, from search engines and social networks to facial recognition and self-driving cars. At MozFest 2019, we'll explore how machines are making decisions for us now, and what AI advances are on the horizon.