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Category Archives: Embedded Systems

Embedded AI and Tiny Data

Right now we are living Artificial Intelligence (AI) boom bubble, where you can look the big progress that has been cooking in the labs for more than 30 years, some of that years the progress were stuck waiting for more powerful computers and algorithms’ improve, but now every day we see artificial intelligence systems that process huge amounts of data and make projections or take decision-based in huge computer clusters with hundreds or thousands of CPUs, GPUs and terabytes of memory and HDD storage, and in this case the AI is at the hand of Big Data because usually in machine learning and deep learning is needed a lot of information, usually tagged, to train the AI algorithms. But at the other end we can have machine learning and deep learning in embedded systems just based on the data recorded in the local environment, this data is known as “Tiny Data”.

In this embedded environment, the AI system has more challenges that his bigger brothers, because the computational resources like CPU, memory, storage and power are more limited and also it is part of a real-time system that needs to meet the deadlines to accomplish the main tasks expected by the users; also, the AI system need to deal with on-device data collection, which by its nature, will be less plentiful, unlabeled, but at least it is more targeted to the embedded application.

For example, at BolivarTech we just finished one costumer’s project where we provide the AI algorithms to be incorporated at one industrial water heater, because the costumer want to improve the efficiency by allowing the water heater learn the water temperature requirements and behaviors in it particular environment; based on this requirements the water heater need to collect data like water flow, ambient temperature, target temperature, time to reach the target temperature based in the incoming water temperature, etc. and based in this data collected predict the duty cycle needed in order to reduce the consumed energy to keep the water at the target temperature.

This is one example where the AI and the Tiny Data work together in order to improve one embedded system, providing to it a real smart behavior, for this in your next smart project contact us at BolivarTech about your artificial intelligence needs.

Julian Bolivar-Galeno is an Information and Communications Technologies (ICT) Architect whose expertise is in telecommunications, security and embedded systems. He works in BolivarTech focused on decision making, leadership, management and execution of projects oriented to develop strong security algorithms, Artificial Intelligence (AI) research and its applicability to smart solutions at mobile and embedded technologies, always producing resilient and innovative applications.

2017-02-21 jbolivarg

BlackEnergy and Stuxnet the first Cyber Weapons on a Global Cyberwarfare

Black_HoodWestern Ukraine power company Prykarpattyaoblenergo reported an outage on December 23 2015, saying the area affected included regional capital Ivano-Frankivsk, with a population of 1.4 million, during few hours.

Now at January 2016, the researchers have proof that link that outage with the malware called BlackEnergy.

Continue reading… →

2016-02-22 Julian Bolivar

Malfeasance by Cheatware

Software_Auditory During the past six years, Volkswagen was cheating on the emissions testing for its diesel cars because the cars’ computers were able to detect when they were being tested, and temporarily alter how their engines worked so they looked much cleaner than they actually were and when they weren’t being tested, the car produced 40 times more the pollutants.

Computers allow people new ways to cheat, because the cheating is at the embedded software and the malicious actions only happen when the expected conditions are presented, otherwise continue with the normal operation mode. Because the software is “smart” in ways that normal objects are not, the cheating can be subtle and harder to detect.

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2016-02-22 Julian Bolivar

Defensive Programming to Mitigate Security Breach and Unforeseen Events

SystemFailure

Every one that have years working at the security ITC area know that so many security breach are caused by stack overflow, out of range, malformed parameters and NULL pointer exceptions to mention the more commons; this unhanded errors open gaps that interrupt the program’s flow leaving it in an undetermined state, and this is the factor used by hackers to insert tampered instructions in the programs’ flow in order to gain access to resources that is not supposed to have.

Continue reading… →

2016-02-22 Julian Bolivar

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