A physical-layer modulator is a vital component for an IoT gateway to map the symbols to signals. However, due to the soldered hardware chipsets on the gateway's motherboards or the diverse toolkits on different platforms for the software radio, the existing solutions either have limited extensibility or are platform-specific. Such limitation is hard to ignore when modulation schemes and hardware platforms have become extremely diverse. This paper presents a new paradigm of using neural networks as an abstraction layer for physical layer modulators in IoT gateway devices, referred to as NN-defined modulators. Our approach addresses the challenges of extensibility and portability for multiple technologies on various hardware platforms. The proposed NN-defined modulator uses a model-driven methodology rooted in solid mathematical foundations while having native support for hardware acceleration and portability to heterogeneous platforms. We conduct the evaluation of NN-defined modulators on different platforms, including Nvidia Jetson Nano and Raspberry Pi. Evaluations demonstrate that our NN-defined modulator effectively operates as conventional modulators and provides significant efficiency gains (up to $4.7\times$ on Nvidia Jetson Nano and $1.1\times$ on Raspberry Pi), indicating high portability. Furthermore, we show the real-world applications using our NN-defined modulators to generate ZigBee and WiFi packets, which are compliant with commodity TI CC2650 (ZigBee) and Intel AX201 (WiFi NIC), respectively.

About VOLANSYS: VOLANSYS is a Silicon Valley- based next generation Digital Transformation, Product Realization, and Data Science company offering Internet of Things, cloud and mobility solutions from conceptualization to manufacturing. Since 2008, VOLANSYS has been powering enterprises worldwide to engineer smart connected products and applications to reduce the time-to-market and lower total cost of ownership by utilizing our ready to use OEM solution platforms. With 50 products implemented, 500 employees and 9 industry-standard reference platforms including CENTAURI 200 IoT Gateway, IoTify cloud framework, Modular IoT Gateway and HomeBridge, we are recognized as an end-to-end IoT solutions provider in Product Engineering, ODM and Manufacturing services. VOLANSYS is headquartered in India with eight offices across the globe.

Abstract: To build a robust secure solution for smart city's IOT network from any Cyber-attacks using Artificial Intelligence (AI). In Smart City's IOT network, data collected from different log collectors or direct sources from cloud or edge should harness the potential of AI. The smart city command and control center team will leverage these models and deploy it in different city's IOT network to help on intrusion prediction, network packet surge, potential botnet attacks from external network. Some of the vital use cases considered based on the users of command-and-control center. Keywords-Artificial Intelligence, Internet of Things, Smart City, IOT Security, Smart City command and control center I. INTRODUCTION The Internet of Things market will grow from 170 Billion devices (as on 2017) to 561 Billion devices by 2020 as reply.com It will bring more niche devices like Smart Home appliances, Smart Home Security, Digital Assistants and Home Robots from different providers.

When it comes to human operators, there are chances of missed crucial security clues, subject to fatigue, leading to terrible outcomes for an organization. The advantage of AI for surveillance and the security ecosystem is that machines can always be trusted to be accurate, making up for human deficiencies. AI for surveillance and security ecosystem ensures that no detail, no information, and certainly no threat go undetected, which guarantees an organization's security. With having made strong waves across industries, including automotive, healthcare, entertainment, finance, manufacturing, and more, AI is now playing a pivotal role in real-time surveillance. This means that AI-driven cameras don't just keep an eye on public activities but also indulge in smart analysis.

Artificial intelligence (AI) will act as an enabler and help accelerate IoT projects, according to VMware's IoT lead. To that end, VMware will work to provide both AI-enabled infrastructure technology as well as leverage AI to optimize the technology it develops and delivers to customers, according to Mimi Spier, vice president of IoT business for VMware. "The ability to get data out of things and the amount of impact you can have when you start to use IoT and AI together is quite profound," Spier said. "For the future, to achieve the picture I just painted, you have to have a flexible, manageable, scalable, secure foundation that enables us to do things on the edge … as well as deeper learning in the cloud." Spier lent her impressions on AI and IoT projects during a recent interview around a PWC report that shed a positive light on AI and job creation, with the report's authors concluding AI-enabled technologies will generate as many jobs as they displace overall, when evened out across different sectors. The recent report comes at a time when businesses are still finding that launching IoT projects is hard, and it's taking longer than many in the industry expected, according to Spier.

These IoT devices and assets are equipped with electronics, including transducers such as sensors and actuators, connectivity/communication electronics and software to capture, filter and exchange data about themselves, their internal/external state and the environment they physically reside in. The connection of IoT'things' and usage of IoT data drives various purposes in the lives of consumers and in business, healthcare, innovation, mobility, cities and society. The many potential goals of IoT are segmented into IoT use cases: reasons for which IoT is deployed such as health monitoring, asset tracking, environmental monitoring, predictive maintenance and home automation. There are hundreds of IoT use cases, depending on the industry and/or type of application. Some IoT use cases exist across industries, others are more vertical. IoT is an essential driver for customer-facing innovation, data-driven optimization and automation, digital transformation, innovation, research and ...

These IoT devices and assets are equipped with electronics, including transducers such as sensors and actuators, connectivity/communication electronics and software to capture, filter and exchange data about themselves, their internal/external state and the environment they physically reside in. The connection of IoT'things' and usage of IoT data drives various purposes in the lives of consumers and in business, healthcare, innovation, mobility, cities and society. The many potential goals of IoT are segmented into IoT use cases: reasons for which IoT is deployed such as health monitoring, asset tracking, environmental monitoring, predictive maintenance and home automation. There are hundreds of IoT use cases, depending on the industry and/or type of application. Some IoT use cases exist across industries, others are more vertical. IoT is an essential driver for customer-facing innovation, data-driven optimization and automation, digital transformation, innovation, research and ...

It's well understood that IoT is going to provide a lot of data. And that data will be used to feed applications. Machine learning will help provide the algorithms that convert that data into action. And that action is what we, the consumers, will benefit from. This means that IoT and machine learning will need to intersect.

He shares his takeaways in this guest post.] I was super-excited to attend Microsoft Build for the first time. Being a student, I definitely enjoyed the experience. I am very passionate about technology and have been working on a startup of my own. As I think about my role in the technology and business world, I believe that my friends and I, as teenagers, have a different perspective on technology than many of the other attendees at Microsoft Build.

Back in Hannover Messe 2011, Germany announced the Industry 4.0 concept and initiated the world's fourth industrial revolution. Since then, Hannover Messe has become a focal point for Industry 4.0 innovations. As Hannover Messe 2016 closes in, the exhibition will once again be surrounded by various Industry 4.0-related hot topics such as integrated industry, smart manufacturing and more. Coming soon on April 25 to 29, Hannover Messe 2016 will be based on the theme "Integrated Industry – Discover Solutions", which aims to provide an interpretation of the smart manufacturing model of Industry 4.0. As a Taiwanese company with deep expertise in IoT automation, NEXCOM has planned four themed demonstrations that map out a complete solution blueprint for industry 4.0 in the upcoming event. Joe Lin, General Manager of NEXCOM's IoT Automation Solutions Business Group, states, "Early Industry 4.0 solutions focused on the lower layers of factory communication where IoT gateways were used to integrate different industrial protocols, bridging the Industry 4.0 last mile connection to fulfill the'connected' concept.