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Combo of machine vision and edge computing opens new IoT

#artificialintelligence

Right now sorting boxes onto the appropriate pallet as these goods move through a supply chain is a time-consuming, error-prone manual process. But it doesn't have to be. During the recent PACK Expo in Las Vegas, ADLINK demonstrated how a combination of readily-available technologies can streamline the palletization process. Broadly speaking, using sensing technology to derive new value from physical assets is the entire premise of the internet of things. But beyond sensors, achieving this new level of value from a digitized world requires localized data analysis on top of edge computing infrastructure.


Secure Mobile Edge Computing in IoT via Collaborative Online Learning

arXiv.org Machine Learning

To accommodate heterogeneous tasks in Internet of Things (IoT), a new communication and computing paradigm termed mobile edge computing emerges that extends computing services from the cloud to edge, but at the same time exposes new challenges on security. The present paper studies online security-aware edge computing under jamming attacks. Leveraging online learning tools, novel algorithms abbreviated as SAVE-S and SAVE-A are developed to cope with the stochastic and adversarial forms of jamming, respectively. Without utilizing extra resources such as spectrum and transmission power to evade jamming attacks, SAVE-S and SAVE-A can select the most reliable server to offload computing tasks with minimal privacy and security concerns. It is analytically established that without any prior information on future jamming and server security risks, the proposed schemes can achieve ${\cal O}\big(\sqrt{T}\big)$ regret. Information sharing among devices can accelerate the security-aware computing tasks. Incorporating the information shared by other devices, SAVE-S and SAVE-A offer impressive improvements on the sublinear regret, which is guaranteed by what is termed "value of cooperation." Effectiveness of the proposed schemes is tested on both synthetic and real datasets.


Mobile and IoT technologies integrated with AI features to enable data driven solutions

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Computex Taipei has long been one of the most important tradeshows worldwide for engineers and executrives in ICT industries. On May 31, 2017, Digitimes hosted Computex 2017 Mobile and IoT technology forum, featuring speakers from various sectors to share their views of the future of IoT technology leveraging artificial intelligence (AI) capability. Internet of Things combining and converging sensor technologies and robotics is driving profound transformations of the industrial system. As more factories and equipment are equipped with IoT devices, data volume will double by 2020 and computing must become more cognitive to properly process, analyze and optimize the information. This is a key focal point of of the talk by Mike Chang, IBM Cloud Adoption leader.


IoT Can Battle Generational Gaps @ThingsExpo #IoT #M2M #API #AI #ML

#artificialintelligence

When new technology becomes available to the public, it is often met with trepidation by those who feel it's unnecessary or even hindering. Typically, younger generations embrace technology while older people scorn it, but of course, this is not universal. The "Internet of Things" (IoT) or the growing trend to have internet connectivity in traditionally non-tech devices such as clothing, accessories, and home appliances, offers a lot of benefits to people of all generations. For example, being able to track your health data and fitness information is useful to young millennials trying to be fit, as well as older individuals who need to monitor specific health concerns. Despite the media's fixation on highlighting differences between generations, baby boomers and millennials have a lot in common, even when it comes to technology.


How the Intersect of the Internet of Things (IoT), AI and Cloud Computing will Disrupt Everything

#artificialintelligence

The Internet of Things (IoT), Artificial Intelligence (AI) and cloud computing are three technologies that are converging to disrupt nearly every industry. IoT refers to a connected network of objects embedded with technology that enables the collection and exchange of data. Cloud computing is the storing and retrieval of data, and accessing application programs via the Internet. Artificial Intelligence is the simulation of human intelligence by machines. We are currently in the midst of the rise of the first wave of this technological convergence.


How the Intersect of the Internet of Things (IoT), AI and Cloud Computing will Disrupt Everything

#artificialintelligence

The Internet of Things (IoT), Artificial Intelligence (AI) and cloud computing are three technologies that are converging to disrupt nearly every industry. IoT refers to a connected network of objects embedded with technology that enables the collection and exchange of data. Cloud computing is the storing and retrieval of data, and accessing application programs via the Internet. Artificial Intelligence is the simulation of human intelligence by machines. We are currently in the midst of the rise of the first wave of this technological convergence.


How the Intersect of the Internet of Things (IoT), AI and Cloud Computing will Disrupt Everything

#artificialintelligence

The Internet of Things (IoT), Artificial Intelligence (AI) and cloud computing are three technologies that are converging to disrupt nearly every industry. IoT refers to a connected network of objects embedded with technology that enables the collection and exchange of data. Cloud computing is the storing and retrieval of data, and accessing application programs via the Internet. Artificial Intelligence is the simulation of human intelligence by machines. We are currently in the midst of the rise of the first wave of this technological convergence.