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) …
The public sector has a crucial role to play in India's growth story. It is through an effective and efficient public service delivery model that India can achieve inclusive and sustainable socio-economic development. In order to achieve this, the government has begun harnessing artificial intelligence (AI) in the delivery of public services such as education, health, social security and transport, among others. AI is set to offer a competitive advantage over existing models of delivery of public services. Traditionally, the delivery models were simple, standalone departmental projects.
As the world is moving to digitalization, you may be wondering, "how do we plan to go about this?" Related questions that you may also wonder are how to gather and generate digital innovation opportunities across the enterprise, and then determine which opportunities to pursue. Today, we are going to address these questions and provide thought leadership on strategies that you can adopt. To make this meaningful, I have used the healthcare/bio-pharma industry as a backdrop. However, the suggested techniques are broadly applicable across many industries. Digital disruption and innovation can be fostered when an appropriate environment is created.
AutoX, the Hong Kong and San Jose, Calif.-based autonomous vehicle technology company, is pushing past its grocery delivery roots and into the AV supplier and robotaxi business. AutoX has partnered with NEVS -- the Swedish holding company and electric vehicle manufacturer that bought Saab's assets out of bankruptcy -- to deploy a robotaxi pilot service in Europe by the end of 2020. Under the exclusive partnership, AutoX will integrate its autonomous drive technology into a next-generation electric vehicle inspired by NEVS's "InMotion" concept that was shown at CES Asia in 2017. This next-generation vehicle is being developed by NEVS in Trollhättan, Sweden. Testing of the autonomous NEVs vehicles will begin in the third quarter of 2019.
Drone delivery service Wing is launching its own air-traffic control app to keep its craft safe in the skies. The company, owned by Google-parent Alphabet, recently started making deliveries in parts of Australia and Finland. Wing's new iOS and Android app aims to'help users comply with rules and plan flights more safely and effectively,' providing a rundown of airspace restrictions and hazards as well as events nearby that could interfere. The new app, Open Sky, is being released to drone flyers in Australia this month according to Wing. 'The design of our software has required a detailed understanding of flight rules -- along with buildings, roads, trees, and other terrain -- that allow aircraft to navigate safely at low altitudes, and we've used it to complete tens of thousands of flights on three continents,' Wing said in a blog post.
Natural Language Processing poses some exciting opportunities in the healthcare space to swim through the vast amount of data currently untouched and leverage it to improve outcomes, optimize costs, and deliver a better quality of care. In the first part of this two-part series, we discovered the Drivers of NLP in Healthcare. The branch of AI seems to be critical for navigating through the growing volume of data already in silos and generated daily. The article outlines the factors that are driving the growth and implementation of Natural Language Processing in healthcare, the plausible benefits of the implementation and the future of Artificial Intelligence and Machine Learning in healthcare. Let's explore further how mature machine learning and AI are in the healthcare domain, the various ongoing and under-scrutiny use cases of natural language processing in healthcare, and a few real-life examples where these technologies are improving care delivery.
Technology has revolutionized our world and lives. It has made our lives better, faster, easier and fun. It has given us multi functional devices that have put everything at the touch of a button. From the way we communicate to the way we travel, its changing and evolving rapidly every day. Social media isn't the only big statement technology has made by making the way we connect and interact with the world.
Data helps to drive every industry now. When used effectively, it can lower operational costs and utilize resources in a more effective manner. The U.S. legal cannabis market was valued at $11.9 billion in 2018 and is expected to be worth $66.3 billion by the end of 2025. With this kind of growth, data collection and use are essential to the Cannabis industry in many ways. The access to a vast amount of data, allows growers to optimize for environmental changes and variables and can even change the strain of the product.
For nearly 50 years, FedEx's local package delivery method has largely gone unchanged, but it may soon evolve. The multinational corporation is currently working with the city of Manchester to begin testing a new last-mile delivery method. It involves a highly automated robot, resembling a mini fridge on wheels, that will transport products from local hubs to their final destinations. Thanks to state-of-the-art cameras and sensors, the FedEx Sameday Bot can efficiently cover the last leg of deliveries without a human operator. And because it can travel on sidewalks, this technology could increase shipping speed while reducing roadway congestion – greatly benefiting New Hampshirites.
As global taste for rapid delivery increases, so too does the pressure on those facilitating logistics internationally. Regardless of the scale of operation, says Dean Porter at Zebra Technologies, inventory management is one of the most frequently reported pain points in the warehouse and logistics industries. What was once manageable – or at least tolerable – and done manually, now requires a distinct minimum level of technology to run. Without intelligent databases, around the clock connectivity and smart, ruggedised devices, stock would get lost, workers confused, and management baffled without a live account of operations. The solution is to invest time into looking at what the next wave of technology will bring and how it can plug into existing systems – just don't get put off by jargon or futuristic titles.
One of the biggest problems in media today is so-called "fake news," which is so highly pernicious in part because it superficially resembles the real thing. AI tools promise to help identify it, but in order for it to do so, researchers have found that the best way is for that AI to learn to create fake news itself -- a double-edged sword, though perhaps not as dangerous as it sounds. Grover is a new system created by the University of Washington and Allen Institute for AI (AI2) computer scientists that is extremely adept at writing convincing fake news on myriad topics and as many styles -- and as a direct consequence is also no slouch at spotting it. The paper describing the model is available here. The idea of a fake news generator isn't new -- in fact, OpenAI made a splash recently by announcing that its own text-generating AI was too dangerous to release publicly. But Grover's creators believe we'll only get better at fighting generated fake news by putting the tools to create it out there to be studied.