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'Lawfare' and the CIA's drone war worries

Al Jazeera

American journalist Spencer Ackerman, in collaboration with documentary filmmaker Laura Poitras, just released a document related to the US drone operations leaked by National Security Agency whistleblower, Edward Snowden. The document is an article on Intellipedia, a secretive US data site where the US intelligence agencies share the material they mine on us all across the world. Titled "Targeted Killing: Policy, Legal and Ethical Controversy", the entry reflects Intellipedia's take on the work of many human rights defenders and organisations – including my own – to stop the CIA drone war across the world. Because of my human rights work, I have always assumed that I was being tracked by security agencies. Indeed, when I write an email to my wife, I sometimes add an ironic post-script to their agents apologising for being boring.


A Road Map for Deep Learning

#artificialintelligence

Deep learning is a form of machine learning which allows a computer to learn from experience and understand things from a hierarchy of concepts where each concept being defined from a simpler one. This approach avoids the need for humans to specify all the knowledge that the computer needs. The hierarchy of concepts allows the computer to learn complicated concepts by building them on top of each other through a deep setup with many layers. The first thing you need to learn when it comes to learning deep learning is the applied math which is the fundamental building block of deep learning. Linear algebra is a branch of mathematics that is widely used throughout engineering.


AI is a 'Swiss army knife' for tackling climate change. Here's why

#artificialintelligence

Another good example for AI-powered decisions that reduce emissions at scale is Google's partnership with electricityMap. By utilizing electricityMap – an AI-powered platform that shows in real-time how clean electricity is around the world and provides past, current and forecasted carbon footprint data for electricity by country – Google manages to align computing tasks with times of low-carbon electricity supply in the grid and, thus, reduces CO2e emissions from electricity consumption.


AI, machine learning may be key to further insurance digital transformation

#artificialintelligence

The pandemic has pushed IT departments to adapt quickly to various challenges. A new report, IT's Changing Mandate in an Age of Disruption, suggests that to continue with various digital transformations and increase adaptability for the future some IT improvements must be made. For the insurance industry, artificial intelligence and machine learning may be key, according to the report, which was conducted by the Economist Intelligence Unit, supported by Appian, an enterprise software company. The report includes information from two surveys, conducted in May and June of this year, and responses from 1,002 IT and senior business executives, who worked across six different sectors including financial services and insurance and were from nine countries. Forty-one percent of respondents from the insurance industry said expanding the use of AI and machine learning is the most impactful way that technology can help organizations respond to potential changes.


AI Tool Leads to Discovery of Four New Materials

#artificialintelligence

A team of researchers at the University of Liverpool has developed a collaborative artificial intelligence (AI) tool that reduces the time and effort needed to discover new materials. The new AI has already led to the discovery of four new materials.  The research was published last month in the journal Nature Communications.  Discovering New Materials […]


Social-media giants remove 111 m posts – The Hindu BusinessLine

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Majority of the posts were tracked using artificial intelligence and machine learning.


How biological detective work can reveal who engineered a virus – Vox

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The most successful entrants in the competition could predict, using machine-learning algorithms, which lab produced a certain genetic sequence …


5 Minutes With Tableau's Francois Zimmermann – Manufacturing Global

#artificialintelligence

There are also ethical challenges with the use of machine learning models as these may perpetuate bias and discrimination.


Wrangle Timeseries Data in TensorFlow

#artificialintelligence

Timeseries data is a set of data that is connected to each other where each value is based on previous values. In machine learning model building, predicting the next coming step in future based on later steps in history will be usually accurate. To enhance the learning in timeseries models it is required to handle the data in batches of sequences. Risk of Data Leakage, since model needs to forecast the future, if we shuffle data and split into training and testing dataset randomly; then we may leak some future answers to the model during learning phase. That will result in unexpected results during testing.


5 Unsexy Truths About Working in Machine Learning

#artificialintelligence

I work in Machine Learning. To readers/viewers of my work, this won't come as a surprise. To people who don't know me as well, feel free to check out my LinkedIn/articles/videos for a better understanding of my skills/experience. My specialty is in statistical analysis. I've had experience working in Road Safety, Health System Analysis, Big Data Analysis for a Bank, disease detection, biometric recreation, and currently work in Supply Chain Analysis.