Current implementations of Internet systems are very hard to be upgraded. The ossification of existing standards restricts the development of more advanced communication systems. New research initiatives, such as virtualization, software-defined radios, and software-defined networks, allow more flexibility for networks. However, until now, those initiatives have been developed individually. We advocate that the convergence of these overlying and complementary technologies can expand the amount of programmability on the network and support different innovative applications. Hence, this paper surveys the most recent research initiatives on programmable networks. We characterize programmable networks, where programmable devices execute specific code, and the network is separated into three planes: data, control, and management planes. We discuss the modern programmable network architectures, emphasizing their research issues, and, when possible, highlight their practical implementations. We survey the wireless and wired elements on the programmable data plane. Next, on the programmable control plane, we survey the divisor and controller elements. We conclude with final considerations, open issues and future challenges.

Programmable Networks—From Software-Defined Radio to Software-Defined Networking

https://forensicsandsecurity.com/papers/SurveyEMSideChannelsForensics.pdf

A survey of electromagnetic side-channel attacks and discussion on their case-progressing potential for digital forensics

By employing fault tolerance, embedded systems can withstand both intentional and unintentional faults. Many fault tolerance mechanisms are invoked only after a fault has been detected by whatever fault-detection mechanism is used; hence, the process of fault detection must itself be dependable if the system is expected to be fault-tolerant. Many faults are detectable only indirectly as a result of performance disorders that manifest as anomalies in monitored system or sensor data. Anomaly detection, therefore, is often the primary means of providing early indications of faults. As with any other kind of detector, one seeks full coverage of the detection space with the anomaly detector being used. Even if coverage of a particular anomaly detector falls short of 100%, detectors can be composed to effect broader coverage, once their respective sweet spots and blind regions are known. This paper provides a framework and a fault-injection methodology for mapping an anomaly detector's effective operating space and shows that two detectors, each designed to detect the same phenomenon, may not perform similarly, even when the event to be detected is unequivocally anomalous and should be detected by either detector. Both synthetic and real-world data are used.

Anomaly detection in embedded systems

Real-time strawberry detection using deep neural networks on embedded system (rtsd-net): An edge AI application

Making use of the techniques of media ecology we argue that the premise of the technological Singularity based on the notion computers will one day be smarter that their human creators is false. We also analyze the comments of other critics of the Singularity, as well supporters of this notion. The notion of intelligence that advocates of the technological singularity promote does not take into account the full dimension of human intelligence. They treat artificial intelligence as a figure without a ground. Human intelligence as we will show is not based solely on logical operations and computation, but also includes a long list of other characteristics that are unique to humans, which is the ground that supporters of the Singularity ignore. The list includes curiosity, imagination, intuition, emotions, passion, desires, pleasure, aesthetics, joy, purpose, objectives, goals, telos, values, morality, experience, wisdom, judgment, and even humor.

/pdf/the-emperor-of-strong-ai-has-no-clothes-limits-to-artificial-3wnac8xmum.pdf

The Emperor of Strong AI Has No Clothes: Limits to Artificial Intelligence

When opportunity knocks, open the door: No one has taken heed of the adage like Nvidia, which has transformed itself from a company focused on catering to the needs of video gamers to one at the heart of the artificial-intelligence revolution. In 2001, no one predicted that the same processor architecture developed to draw realistic explosions in 3D would be just the thing to power a renaissance in deep learning. But when Nvidia realized that academics were gobbling up its graphics cards, it responded, supporting researchers with the launch of the CUDA parallel computing software framework in 2006.

/pdf/nvidia-makes-it-easy-to-embed-ai-the-jetson-nano-packs-a-lot-25prg8od1w.pdf

Nvidia makes it easy to embed AI: The Jetson nano packs a lot of machine-learning power into DIY projects - [Hands on]

Will technology so radically alter human existence that it is literally impossible to imagine what life will be like in the 22nd century? Ray Kurzweil and a contingent of like-minded thinkers believe so, and that beyond the so-called singularity lie advances in nanotechnology and biotechnology that will reengineer our environment and ourselves at a fundamental level, and perhaps even eliminate death.

http://ieeexplore.ieee.org/iel5/6/6341173/06341195.pdf

The Singularity

Working with computational journalist Nick Diakopoulos, IEEE Spectrum has weighted and combined 12 metrics from 10 sources (including IEEE Xplore, Google, and GitHub) to rank the most popular programming languages. If you don?t agree with our weighting, want to see more languages, or are interested in what?s dominant in a specific subsector, such as mobile, go to our online interactive version. There you can adjust the weight of each metric and create your own custom ranking.

The top 10 programming languages Spectrum¿s 2014 ranking [DataFlow]

Welcome to IEEE Spectrum's annual ranking of the Top Programming Languages. This year we've revamped and stream-lined our interactive ranking tool online and made other changes under the hood. But the goal remains the same–to combine metrics from different sources to estimate the relative popularity of different languages. Here we show the results for the highest-ranked languages, but you can find the full list of 57 languages online.

SQL Should Be Your Second Language

Little Linuxes

Handle everyday research tasks with reliable, citation-backed results

Your personal Research Agent to handle research tasks with citation-backed results

Popular Tasks used by Researchers

How can I help with your research?

Meet SciSpace

Get more enhanced response by uploading the PDFs you want me to reference.

No relevant PDFs in your library

SciSpace is the AI research assistant for academics. Run systematic literature reviews on 280M+ papers, and write papers with cited sources. Trusted by 1M+ students, PhDs & researchers.

SciSpace | AI for Research

Analyze PDFs

Code & Manuscripts

Funding & Grants

Literature & Patents

Medical & Clinical Data

Systematic Review

Visualize & Present

Web & Data

Build a Google Scholar-like website for your research.

Build a website

Create charts and images for your research

Create a Chart

Write a paper for submission to a journal

Draft a manuscript

Patent Search

Design eye-catching scientific posters in minutes.

Scientific Poster Generation

Systematic Literature Review

One task is running at the moment. Your messages will be shown right after.

Drag and drop or click here to browse

Loved by <highlight>1 million+</highlight> researchers

Extract a list of specific topics and their sources from unstructured text

Topics

Compare and analyze relevant papers that matches with your search

Papers

Get insights from PDFs and bookmarked papers from your library

My library

Recent searches

Try searching for:

Catch AI-generated content in scholarly and non-scholarly content

{ai} Detector

Ai Writer

Get PDF Summaries, highlighted text explanations 

Chat with PDF

Effortlessly create in-text citations and bibliographies in APA and 2,500 other formats

Citation generator

Get explanations, summaries, and answers on academic papers

Ease up your research workflow with {scispace}'s cohort of exciting AI tools

Elevate your academic writing skills and convey your ideas the way you want

Paraphraser

Explore our range of reading and writing tools

Your file is being prepared and should be ready in a few minutes. If it's a large file, it might take a bit longer. You can close this window, and we'll email you the file when it's done.

You have reached a maximum limit of <strong>{limit}</strong> columns in the table. Remove at least <strong>1</strong> column to add or create another one.

Stephen Cass

Author Tools

Chat about Author