AI News, BOOK REVIEW: Live Streaming:Basic Artificial Intelligence & Machine Learning ... artificial intelligence

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Jason is Chief Executive Officer of 23 Capital, leading the business strategy and playing a fundamental role in structuring transactions and setting 23’s culture and values.

As a specialty finance platform, 23 Capital participates in transactions across the capital structure and employs multiple financing strategies ranging from passive IP lending and project finance transactions, to highly structured corporate facilities.


“With the invention of the artificial intelligence and human intelligence aspect, it's going to create more jobs.

So artificial intelligence, while it's great to speed up processes, it's going to be a job creator with a different skills set, which gives huge opportunities to companies,”

Etech is known as a trusted advisor and experienced outsourcer of customer support, sales, technical support, and quality monitoring analytics.

As a matter of fact, one of the software companies came to me and we have 200 data scientists working for Etech today, and what they have told us is we can reduce your head count by 70 per cent.

I would be getting people in training programmes to learn what machine learning is, understand what artificial intelligence is and how you can take that human intelligence, apply it to artificial intelligence and create more jobs,”

The Business Process Industry Association of Jamaica (BPIAJ) launched a dynamic platform last year which was aimed at consolidating a variety of live and digital events to showcase the local outsourcing industry.

Why Live Video Streaming Is Critical For Safer And Smarter Cities

The information gathered by video cameras can be used with two purposes in mind, firstly: making people’s lives more efficient, for example by managing traffic, and secondly (and arguably more importantly): making people’s lives safer.

Yes, they can be used to collect video which can be used for evidence after a crime has taken place, but there is no way that this technology could help divert cars away from an accident to avoid traffic building up, or prevent a crime from taking place in the first place.

However, streaming live video from a camera that isn’t connected to an infrastructure via costly fiberoptic cabling has proven challenging for security professionals, law enforcement and city planners alike.

Transmitting video normally results in freezing and buffering issues which can hinder efforts to fight crime and enable flow within a city, as these services require real-time, zero latency video without delays.

Therefore, special technology is required that copes with poor and varying bandwidths to allow a real-time view of any scene where cameras are present to support immediate decision making and smart city processes.

Live video streaming within the smart and safe city’s infrastructure means that video’s capabilities can go beyond simple evidence recording and evolve into a tool that allows operations teams to monitor and remediate against incidents as they are happening.

For example, facial recognition could spot a known drug dealer in a city center where they weren’t supposed to be, or facial recognition could identify if a group of known terror suspects were visiting the same location at the same time, and this would send an alert to the police.

With the addition of facial recognition, cities will be safer than ever before and law enforcement and security teams will be able to proactively stop crime before it happens by deterring criminal activity from taking place at all.

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Object Detection Tutorial in TensorFlow: Real-Time Object Detection

Creating accurate Machine Learning Models which are capable of identifying and localizing multiple objects in a single image remained a core challenge in computer vision.

TensorFlow’s Object Detection API is an open source framework built on top of TensorFlow that makes it easy to construct, train and deploy object detection models.

So guys, in this Object Detection Tutorial, I’ll be covering the following topics: You can go through this real-time object detection video lecture where our Deep Learning Training expert is discussing how to detect an object in real-time using TensorFlow.

It allows for the recognition, localization, and detection of multiple objects within an image which provides us with a much better understanding of an image as a whole.

deep learning facial recognition system called the “DeepFace” has been developed by a group of researchers in the Facebook, which identifies human faces in a digital image very effectively.

Finding a specific object through visual inspection is a basic task that is involved in multiple industrial processes like sorting, inventory management, machining, quality management, packaging etc.  Inventory management can be very tricky as items are hard to track in real time.

But the working behind it is very tricky as it combines a variety of techniques to perceive their surroundings, including radar, laser light, GPS, odometry, and computer vision.

Advanced control systems interpret sensory information to identify appropriate navigation paths, as well as obstacles and once the image sensor detects any sign of a living being in its path, it automatically stops.

It is also used by the government to access the security feed and match it with their existing database to find any criminals or to detect the robbers’

Tensorflow is Google’s Open Source Machine Learning Framework for dataflow programming across a range of tasks. Nodes in the graph represent mathematical operations, while the graph edges represent the multi-dimensional data arrays (tensors) communicated between them.

Now that you have understood the basics of Object Detection, check out the AI and Deep Learning With Tensorflow by Edureka, a trusted online learning company with a network of more than 250,000 satisfied learners spread across the globe.

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