Artificial intelligence (AI) and blockchain are two of the most-talked-about technologies of the past 10 years, and their evolution has led to significant and promising innovations. The idea of combining them is particularly intriguing.
The profit potential for these two technologies is forecast to be in the billions for the foreseeable future. Gartner, a global technology research firm, estimates that the business value created by AI will near $3.9 trillion in 2022, while some anticipate the blockchain market will be worth roughly $23 billion by 2023.
The drivers behind this tremendous predicted growth are increased adoption, as well as the potential use cases that have been emerging across both sectors. AI, which is technically not a new technology, has taken on a prominent role in the tech world over the past two years. While we are still far from fully thinking machines, AI has been deployed in everything from marketing and sales to manufacturing and even health care. The technology has become a crucial part of most businesses’ plans moving forward. Read More
Monthly Archives: July 2019
7 Resources for Those Wanting to Learn Data Science
Data Science happens as a natural consequence of multiple skills and experiences acquired by working with computers, maths, people and businesses. Some will develop these skills naturally from multiple experiences along many years… But what if there’s a shortcut?
I’ve decided to compile the top 7 resources that I reckon as my fundamental steps in my personal journey towards data science. The resources below are to engender both the interest and the intuition required for dealing with the data and the science involved. Read More
Combine IIoT and Industry 4.0 for Competitive Advantage
IIoT is powerful, but when combined with an Industry 4.0 end-to-end strategic view, the opportunities are considerably greater, writes Martin Davis.
The Industrial Internet of Things (IIoT) is the grittier end of the Internet of Things (IoT) revolution that is sweeping the manufacturing sector. IIoT alone is estimated to deliver 10-25% productivity improvements, but when combined with analytics, automation, lean approaches, and artificial intelligence (AI) , as recommended by Industry 4.0, the opportunity is many times greater. Read More
Data in the Life: Authorship Attribution in Lennon-McCartney Songs
The songwriting duo of John Lennon and Paul McCartney, the two founding members of the Beatles, composed some of the most popular and memorable songs of the last century. Despite having authored songs under the joint credit agreement of Lennon-McCartney, it is well-documented that most of their songs or portions of songs were primarily written by exactly one of the two. Furthermore, the authorship of some Lennon-McCartney songs is in dispute, with the recollections of authorship based on previous interviews with Lennon and McCartney in conflict. For Lennon-McCartney songs of known and unknown authorship written and recorded over the period 1962-66, we extracted musical features from each song or song portion. These features consist of the occurrence of melodic notes, chords, melodic note pairs, chord change pairs, and four-note melody contours. We developed a prediction model based on variable screening followed by logistic regression with elastic net regularization. Out-of-sample classification accuracy for songs with known authorship was 76%, with a c-statistic from an ROC analysis of 83.7%. We applied our model to the prediction of songs and song portions with unknown or disputed authorship. Read More
Eight technologies you should learn to love
We ran 5G speed tests on Verizon, AT&T, EE and more: Here's what we found
Raindrops splat the pavement in downtown Chicago as I balance an umbrella in the crook of my arm and phones in each hand. On my left, I’m downloading the PUBG Mobile game over Verizon’s 5G network. On my right, I’m timing how long it takes to install: 2.5 minutes (versus 6 minutes on 4G). What’s so exhilarating about this moment has less to do with the progress bar on my screen and more to do with bearing witness to one of the first live 5Gnetworks anywhere in the world..
After years of hearing how 5G is poised to change our lives with lightning-fast phone download speeds, and crisp, super high-resolution video calls, AR apps, and real-time gaming that are all lag-free, 5G is finally real. But it’s far from stable — and stability is the one thing 5G desperately needs. Read More
7 Trends That Will Define The Future Of Web Development
Summary of the Article
- Role of Artificial Intelligence (AI) in Web Design and Development
- Role of Progressive Web Apps (PWA) in Web Design and Development
- Role of Virtual Reality in Web Design and Development
- Role of the Internet of Things (IoT) in Web Design and Development
- Impact of IoT on Web Design and Development –
- Role of Motion UI in Web Design and Development
- Role of JavaScript in Web Design and Development
- Conclusion
Workload Optimized Compute Servers Are Creating the Need for Converged Clusters
Pooled, also referred to as “converged”, clusters in a unified data environment support disparate workload better than separate, siloed clusters. Vendors now provide direct support for converged clusters to run key HPC-AI-HPDA (AI, HPC, and High Performance Data Analytic) workloads.
The success of workload optimized compute servers has created the need for converged clusters as organizations have generally added workload optimized clusters piecemeal to support their disparate AI, HPC, and HPDA needs.
Unfortunately, many disparate clusters operate in isolation, dedicating their resources for specific workloads and managed by humans, essentially placing them in a silo that prevents their benefitting the entire organization. This makes little sense from an operating efficiency perspective as it wastes both operation time plus OpEx (operating expense) and CapEx (capital expense) monies.[i] Read More
Can a Robot Hear the Shape and Dimensions of a Room?
Knowing the geometry of a space is desirable for many applications, e.g. sound source localization, sound field reproduction or auralization. In circumstances where only acoustic signals can be obtained, estimating the geometry of a room is a challenging propostition. Existing methods have been proposed to reconstruct a room from the room impulse responses (RIRs). However, the sound source and microphones must be deployed in a feasible region of the room for it to work, which is impractical when the room is unknown. This work propose to employ a robot equipped with a sound source and four acoustic sensors, to follow a proposed path planning strategy to moves around the room to collect first image sources for room geometry estimation. The strategy can effectively drives the robot from a random initial location through the room so that the room geometry is guaranteed to be revelaed. Effectiveness of the proposed approach is extensively validated in a synthetic environment, where the results obtained are highly promising. Read More
Why Tech Giants Are Pinning Their AI Strategy On Deep Learning Frameworks
There’s one aspect that has affected the growth of deep learning research — the proliferation of deep learning frameworks. Popular Deep Learning frameworks such as TensorFlow (Google), PyTorch (one of the newest frameworks that is rapidly gaining popularity), Caffe, MXNet and Keras among others have helped DL researchers achieve human-level efficiencies on tasks such as facial recognition, image classification, object detection, sentiment detection among other tasks. While multiple frameworks for deep learning is great news for the developer community, it is also a part of the marketing pitch to get them to lock the developer base into other solutions (selling compute capability).
— Each of these frameworks was designed to solve a specific problem
— After reaching a certain maturity, the frameworks were open sourced
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Rick's Cafe AI 
