If you are looking for an answer to the question What is Artificial Intelligence? and you only have a minute, then here's the definition the Association for the Advancement of Artificial Intelligence offers on its home page: "the scientific understanding of the mechanisms underlying thought and intelligent behavior and their embodiment in machines."
However, if you are fortunate enough to have more than a minute, then please get ready to embark upon an exciting journey exploring AI (but beware, it could last a lifetime) …
If tech experts are to be believed, artificial intelligence (AI) has the potential to transform the world. Artificial intelligence is software built to learn or problem solve -- processes typically performed in the human brain. Neither Musk nor Hawking believe that developers should avoid the development of AI, but they agree that government regulation should ensure the tech does not go rogue. However, Shostak doesn't believe sophisticated AI will end up enslaving the human race -- instead, he predicts, humans will simply become immaterial to these hyper-intelligent machines.
The US government's mighty DARPA last year kicked off a research project designed to make systems controlled by artificial intelligence more accountable to their human users. The Defense Advanced Research Projects Agency, to give this $2.97bn agency its full name, is the Department of Defense's body responsible for emerging technology for use by the US armed forces. Significantly, it was DARPA's early funding of packet-switching network the Advanced Research Projects Agency Network (ARPANET) more than 40 years ago that helped bring about the internet. The field of AI has made great strides in the last several years, thanks to developments in machine learning algorithms and deep learning systems based on artificial neural networks (ANNs).
Speaking to Computer Weekly about the results of the study, Capgemini global CTO Ron Tolido said: "In the short and mid-term, the benefits of AI are based on using off-the-shelf products to apply AI for a specific purpose, then training the AI to make it work." One example cited in the report is investment bank JP Morgan, whose lawyers spend thousands of hours studying financial deals. Among the areas Tolida expects to benefit from AI augmentation are customer service and the EU's General Data Protection Regulation (GDPR). "At Capgemini, we use AI for service management, cyber security, development and testing," he added.
With recent developments in AI, we are seeing the advent of intelligent robots that can perform tasks similar to that of a human being. The acceptance, however, will be a gradual process before robots address real-life issues, alongside with human beings. Though India is not yet self-sufficient to develop or manufacture complex and sophisticated robotic system, however, due to the availability of 3D printers and opens source development platforms like ROS, it has brought-in significant changes to the ability of Indian researchers to come-up with robotic solution for specific problems in the day to day life. It is absolutely true that technology like robotics will revolutionise the human employment.
Even the best researchers couldn't crack hard problems like image recognition in the real world. And an increasing number of developers are beginning to work on a variety of different, serious machine learning projects as they recognize that machine learning and even deep learning have become more accessible. Developers are beginning to fill roles as data engineers in a "data ops" style of work, where data-focused skills (data engineering, architect, data scientist) are combined with a devops approach to build things such as machine learning systems. Pretty much the most basic skill in building machine learning systems is the ability to look at the history of decisions that two models have made and determine which model is better for your situation.
The scope of Artificial Intelligence is much broader, including technologies like Virtual Agents, Natural Language Processing, Machine Learning Platforms and many other. The main focus in GE is on making machines smarter, leveraging machine learning to create "digital twins" – a digital replica, or data-based representation of an industrial machine. Unfortunately, SalesForce's Connected Small Business Report notes that only 21% of small businesses are currently using business intelligence and analytics. World's top technology leaders Stephen Hawking and Elon Musk are on the sceptical side of this debate, while Microsoft, Apple, Google and many others are already eagerly taking advantage of the AI technology.
A global study finds several new categories of human jobs emerging, requiring skills and training that will take many companies by surprise. Consider, then, the job of "empathy trainer" -- individuals who will teach AI systems to show compassion. The final category of new jobs our research identified -- sustainers -- will help ensure that AI systems are operating as designed and that unintended consequences are addressed with the appropriate urgency. But even given such innovations, human ethics compliance managers will play a critical role in monitoring and helping to ensure the proper operation of advanced systems.
Laurent is a Senior Research Associate at the University of Cambridge, where his work focuses on the development and application of machine learning methods to understand high throughput biological data. Alternatively, Barbara Fusinska will be doing an all-day session on Practical Deep Learning with TensorFlow. Using an interactive learning platform, attendees will have a practical opportunity to use TensorFlow when building deep networks, training them and evaluating the results. After two days of conference sessions, either workshop is an excellent opportunity to dive deep on the fundamentals of machine learning and deep networks.
AI by Bosch is the brains behind many self-driving car platforms, and to see how it works -- and how a car sees the world around it -- the company gave us a chance to briefly explore the German countryside in one of its prototypes. It knows the difference between a street and a sidewalk, and it can identify various objects such as traffic signs, traffic lights, pedestrians, and different types of vehicles including cars, trucks, and bicycles. The project is the work of Bosch's forward-thinking research and development arm. It's an integral part of the technology package that will help the automotive industry transition from building cars to manufacturing intelligent cars.
In 2016, a lot of retailers started using chatbots to foster brand awareness and personalize customer experience. At the end of last year, two companies combined efforts to create the first influence chatbot for the American brand Cover Girl. Speaking about Kalani's case, the bot managed to generate 14% higher conversion rate than an average Kalani's post in social networks with striking 91% of positive feedbacks from its users. But, do you need to hire a programmer to build a chatbot for your marketing campaign?