• When Should Machines Make Decisions?

human-control-845x321      Human Control: Humans should choose how and whether to delegate decisions to AI systems, to accomplish human-chosen objectives.

When is it okay to let a machine make a decision instead of a person? Most of us allow Google Maps to choose the best route to a new location. Many of us are excited to let self-driving cars take us to our destinations while we work or daydream. But are you ready to let your car choose your destination for you? The car might recognize that your ultimate objective is to eat or to shop or to run some errand, but most of the time, we have specific stores or

  • Artificial Intelligence Helps Find New Fast Radio  Bursts


September 10, 2018 –  Mountain View, CA – Researchers at Breakthrough Listen – the initiative to find signs of intelligent life in the universe – have applied machine learning techniques to detect 72 new fast radio bursts emanating from the “repeater” FRB 121102. Fast radio bursts, or FRBs, are bright pulses of radio emission, just milliseconds in duration, thought to originate from distant galaxies. Most FRBs have been witnessed during just a single outburst. In contrast, FRB 121102 is the only one to date known to emit repeated bursts, including 21 seen during Breakthrough Listen observations made in 2017 with the Green Bank Telescope (GBT) in West Virginia .

  •  AI systems should be safe and secure throughout their operational lifetime.


When a new car is introduced to the world, it must pass various safety tests to satisfy not just government regulations, but also public expectations. In fact, safety has become a top selling point among car buyers. car must have certain level of intelligence, the AI will be able to rewrite its own code, and with super intelligent systems to drive on it own.

  • The Future Internet I Want for Me, Myself and AI


Artificial Intelligence has the potential to bring immense opportunities, but it also poses challenges.

Artificial intelligence (AI) is dominating the R&D agenda of the leading Internet industry. The Silicon Valley and other startup hubs are buzzing about artificial intelligence and the issue has come at the top of policymakers’ agenda including the G20, the ITU, and the OECD, where leaders gathered this week in Paris.

  • Leading AI companies and researchers take concrete action against killer robots, vowing never to develop them.


Stockholm, Sweden (July 18, 2018) — After years of voicing concerns, AI leaders have, for the first time, taken concrete action against lethal autonomous weapons, signing a pledge to “neither participate in nor support the development, manufacture, trade, or use of lethal autonomous weapons.”



Just how smart is artificial intelligence getting? According to the Wall Street Journal, Techspot, and HNGN, it can now get accepted to many of Japan’s universities. To be more specific, Japan’s National Institute of Informatics is developing an AI program that can pass the country’s college entrance exams. The project, called the Todai Robot Project, began in 2011 with the goals of achieving a high score on the national entrance exams by 2016 and of passing the University of Tokyo entrance exam by 2021.

  • India’s first AI supermarket in Kochi – Walk in, pick your product, leave


India’s first AI supermarket in Kochi gets rid of everything we hate – long queues and slow cashiers. The store utilises a combination of Artificial Intelligence, camera technology and other sensors enabling it to operate 24/7 unmanned.

  • Tesla’s New Autopilot Software is Massively Improved


We found a great video of Tesla’s updated “autopilot” software which gives Tesla (founded by Elon Musk) electric cars (in this case a Model S) quite impressive self-driving capabilities. It is worth noting that this software is not supposed to be used without close oversight and control of the driver . The road this test-drive happened on is the “Höhenstrasse” in the hills west of Vienna, a very scenic route, but likely a good challenge for the software .

  • AI may not be bad news for workers.


A SPECTRE is haunting workers—the rise of artificial intelligence (AI). The fear is that smart computer programs will eliminate millions of jobs, condemning a generation to minimum-wage drudgery or enforced idleness. Never mind the robots, fear the software. There is no need to be so gloomy, say Ken Goldberg of the University of California, Berkeley, and Vinod Kumar, the chief executive of Tata Communications, a unit of India’s biggest business house (which stands to profit from the spread of AI). They have produced a report* that is much more optimistic about the outlook for ordinary employees.


  • Indians Are The Top Subscribers For Machine Learning Programmes On Courseracoursera-banner

Coursera recently shared an interesting insight: Indians constituted the highest number of subscribers, especially for courses related to artificial intelligence and machine learning. In fact, Coursera announced that India stands as the second largest and fastest growing market for Coursera, with over 3.7 million learners. This insight, along with the rising number of New Tech-related jobs in India underlines the learning hunger among Indians. The highest subscribers went to the courses around AI and Python.

  • APPLE Siri needs people’s trust for Shortcuts to succeed.


This week, at its big September iPhone and Watch event, Apple announced that iOS 12 will be available on September 17. With iOS 12 comes a series of new features for Siri, the most interesting of which are Siri Suggestions and Shortcuts. Siri Suggestions will surface recommended actions using more than 100 different factors such as time of day, location, or even the Wi-Fi network you’re on to determine whether or not a shortcut suggestion surfaces on your smartphone lock screen or Apple Watch face. A standalone Shortcuts app also lets users create custom commands.

  • How AI could help solve some of society’s toughest problems


At MIT Technology Review’s EMtech conference on Wednesday, Fang outlined recent work across academia that applies AI to protect critical national infrastructure, reduce homelessness, and even prevent suicides. Fang explained how a system she developed in 2013, while doing her PhD at the University of Southern California, is used every day to protect 60,000 passengers on the Staten Island Ferry in New York City.

There are more ferries traveling between Staten Island and Manhattan than US Coast Guard patrol boats in the same territory.

  • How Governments Can Be Smart about Artificial Intelligence


“Intelligent” technology is already everywhere – such as spam filters or systems used by banks to monitor unusual activity and detect fraud – and it has been for some time. What is new and creating a lot of interest from governments stems from recent successes in a subfield of AI known as “machine learning,” which has spurred the rapid deployment of AI into new fields and applications. It is the result of a potent mix of data availability, increased computer power and algorithmic innovation that, if well harnessed, could double economic growth rates by 2035.

  • On August 30, the State of California unanimously adopted legislation in support of the Future of Life Institute’s Asilomar AI Principles.


The Asilomar AI Principles are a set of 23 principles intended to promote the safe and beneficial development of artificial intelligence. The principles – which include research issues, ethics and values, and longer-term issues – emerged from a collaboration between AI researchers, economists, legal scholars, ethicists, and philosophers in Asilomar, California in January . They have been endorsed by AI research leaders at Google DeepMind, GoogleBrain, Facebook, Apple, and OpenAI. Signatories include Demis Hassabis, Yoshua Bengio, Elon Musk, Ray Kurzweil, the late Stephen Hawking, Tasha McCauley, Joseph Gordon-Levitt, Je than 3,800 other AI researchers and experts.

  • Making Deep Learning More Robust

neurons_artificial_intelligence-845x321.jpg  Imagine how much more efficient lawyers could be if they had the time to read every legal book ever written and review every case ever brought to court. Imagine doctors with the ability to study every advancement published across the world’s medical journals, or consult every medical case, ever. Unfortunately, the human brain cannot store that much information, and it would take decades to achieve these feats. But a computer, one specifically designed to work like the human mind, could.

  • Artificial Intelligence jobs see increased uptake among Indian job seekers


There has been a significant increase in the number of searches by job seekers for artificial intelligence (AI) related sectors in India with data scientist profile leading the top slot, says a report. According to data from global job site Indeed, there has been an increase of 179 percent in the number of searches by job seekers for AI related jobs in India between June 2016 and June 2018.

AI-related jobs have seen an increase as companies are increasingly working towards integrating new technology into their core functions, creating new openings for skilled professionals.

  • Google’s AI is now much better at recognizing songs that are playing.


If you ever use Google Assistant or the Google app to recognise a song you’re listening to, that process should be faster and more accurate in the future, Google says – thanks to some advancements in its cloud-based artificial intelligence routines.

Sound Search (which is the official name of “hey Google, what’s this song?”) has been upgraded to use a neural network four times the size of its predecessor. It also takes samples of a song twice as frequently as before, in order to get a better idea of what you’re listening to and to increase the chances of getting a positive match.

  • Google Launchpad Accelerator Opens Applications for Next Class of AI, ML Startups in India


Google on Wednesday opened applications for the next class of its “Launchpad Accelerator” mentorship programme for startups using artificial intelligence (AI)/ machine learning (ML) in India which is scheduled to commence in March 2019. The last date for application to the programme is January 31, 2019, Google said in a statement .Under the Launchpad Accelerator programme, startups that are using AI/ML to solve India’s needs, undergo an intensive in-person mentorship boot-camp, followed by customised support for three months.


  • How To Create Your first Artificial Neural Network In Python.


All machine Learning beginners and enthusiasts need some hands-on experience with Python, especially with creating neural networks. This tutorial aims to equip anyone with zero experience in coding to understand and create an Artificial Neural network in Python, provided you have the basic understanding of how an ANN works.


  • Basic understanding of Artificial Neural Network
  • Basic understanding of python language
  • Railways develops AI-powered robot to check for faults in trains


To make trains more safe by eliminating human errors, Central Railway has developed an AI-powered robot which would click pictures and record videos of the under-gears of trains and send them to engineers for repairs and maintenance.

The mechanical branch of Central Railway’s Nagpur division has developed the robot named USTAAD (Undergear Surveillance Through Artificial Intelligence Assisted Droid), which examines parts of the coach in real time with a HD camera and transmits them over WiFi.

  • Don’t be Confused: Key Differences between AI and Machine Learning

Let’s start the discussion with a funny comment: “If it is written in PowerPoint, it is probably AI; if it is written in Python, it is probably Machine Learning”.

The world is abuzz with news about ‘Artificial Intelligence’ (AI), but relatively fewer people tend to talk about ‘Machine Learning’ (ML). These two terms, although are not the same, are used interchangeably quite often. It is important to understand the distinction between them.

  • You’ll find Apple’s best AI in its camera


When Apple unveiled its new slate of iPhones on Sept. 12, executives gushed over the device’s new second-generation “neural processor,” a custom chip meant just for AI. But Apple didn’t boast about how much the new chip was going to improve Siri—Apple’s virtual assistant that got eight seconds of the 2 hour presentation—or boost battery life, as the company often claims its machine learning is used for. The real killer app for AI on the iPhone is photography.

  • Robotics company introduces AI-powered robot bartender

Can robots replace human bartenders?

  • New AI Safety Research Agenda From Google Brain


Google Brain just released an inspiring research agenda, Concrete Problems in AI Safety, co-authored by researchers from OpenAI, Berkeley and Stanford. This document is a milestone in setting concrete research objectives for keeping reinforcement learning agents and other AI systems robust and beneficial. The problems studied are relevant both to near-term and long-term AI safety, from cleaning robots to higher-stakes applications.

  • Tesla Full Self-Driving Images Leaked

Tesla auto car

Tesla’s full self-driving autonomous vehicle feature is coming. An image leaked on Tuesday apparently shows the new user interface of a test-car. The image shows how the autopilot software/system views and interprets the world. The view has strong similarities to previous autonomous driving videos released by Tesla, there is now an option called “full self-driving” indicating a more advanced mode suggesting complete autonomy of the car.



Where will all that growth come from? Everywhere!

Of course, the first challenge of machine learning is identifying a use case. Not sure where to start? To make the most of this explosive technology, consider how today’s top companies, ranging in industry from retail to hardware to media, are using it:

  • Will Artificial Intelligence Change The World For the Better? Or Worse? Read our new policy paper 


The Internet Society is pleased to release a policy paper on Artificial Intelligence and Machine Learning to help navigate some of the opportunities and challenges the technology presents, and to support an informed debate by de-mystifying some of its fundamental concepts. A key aspect is understanding machine learning, a specific AI technique that has been driving the development of new algorithms to substitute or support human decision-making – some of which are already deployed online.

  • Huawei AI Cube First Impressions

AICube_Main_1535960650507 (1).jpg

At a keynote held at the ongoing IFA electronics trade show in Berlin, Huawei announced the AI Cube, its answer to the Amazon Echo, Apple HomePod and Google Home. Huawei says the AI Cube is the world’s first Alexa enabled smart speaker with an in-built 4G router. The smart speaker supports LTE Cat.6 for cellular speeds of up to 300Mbps, and dual-band Wi-Fi 802.11ac. We managed to grab some hands-on time with the AI Cube, and here are our first impressions.

  • How to Prepare for the Malicious Use of AI.


The authors, who include representatives from the Future of Humanity Institute, the Center for the Study of Existential Risk, OpenAI, and the Center for a New American Security, argue that AI is not only changing the nature and scope of existing threats, but also expanding the range of threats we will face. They are excited about many beneficial applications of AI, including the ways in which it will assist defensive capabilities. But the purpose of the report is to survey the landscape of security threats from intentionally malicious uses of AI.

The report, which is the result of a two-day workshop in Oxford, UK followed by months of research, provides a sweeping landscape of the security implications of artificial intelligence.

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