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) …
GitHub is used by more than 30 million developers around the world and hosts repositories for some of the biggest ML-driven open source projects on the planet, but is perhaps less well known for the creation of AI-driven tools to help them do their jobs. VentureBeat sat down with GitHub senior data scientist Omoju Miller to talk about how one of the biggest homes for developers online is performing applied machine learning research to create more AI-driven services. At the GitHub Universe conference Tuesday, a number of major upgrades were made to GitHub and GitHub Enterprise services for businesses. Miller also spoke during the keynote address about Experiments, a new GitHub initiative to explore the use of AI and machine learning meant for developers. The first Experiments prototype named Semantic Code Search launched last month.
Developers want to learn the data sciences. They see machine learning and data science as the most important skill they need to learn in the year ahead. Accordingly, Python is becoming the language of choice for developers getting into the data science space. Those are some of the takeaways from a recent survey of more than 20,500 developers conducted by SlashData. The survey shows data science and machine learning to be the top skill to learn in 2019.
That's what the HR AI hype seems to be saying. The reality is this: Even as straight-shooting vendor reps and analysts expound on the advantages that AI brings to HR technology, a number of them caution that the idea of incorporating true AI into HR software is a long-term proposition. In fact, many professionals believe the state of AI in HR should be viewed in context. Today, they contend, machine learning and other areas of AI are primarily used for advanced data analysis and automation. In the long term, they have no doubt AI will have an enormous impact on human capital management (HCM) but predict its evolution will be both lengthy and complicated.
According to a recent marketing report by Forrester Research, artificial intelligence (AI) is moving beyond the buzzword stage as organizational leaders start to realize the amount of work required to make significant use of the technology. The study notes notes that implementing AI to meet objectives requires precise deployment, planning, and governance. Despite this, the report forecasts vast improvements in the technology as big data trends lean further toward AI. In fact, Forrester foresees a redesign of data analysis and management roles that will change intelligence delivery logistics and create a new information marketplace. This revelation is highly likely, as up to 70 percent of businesses plan to implement AI technology in 2018, representing a gain of more than 50 percent compared to the previous year.
While Artificial Intelligence (AI) has been a research discipline for over 60 years, it has only recently blossomed and permeated consumer and business technology and applications. The history of AI shows cycles of wild predictions and enthusiasm, followed by disillusionment when predictions about its utility were foiled by the difficult realities. AI has always been the subject of great hope and great hype – recognizing its real potential often requires understanding its weaknesses. After defining AI in practical terms, we cover some of the ways it can be most effectively used in nonprofit organizations. Researchers in AI joke that once an application of AI works, it no longer is considered AI.
After wrestling for more than a decade with the development of a technology that would create a three-dimensional map of the physical world, the team at 6D.ai is finally ready to open up to developers its toolkit that the company says has done exactly that. When company chief executive Matt Miesnieks announced the launch of 6D in March, he laid out a vision for its growth that had three goals: The company would build APIs to capture the three-dimensional geometry of the world; it would apply that three-dimensional data to build semantic APIs so applications can understand the world; and it would partner and extend those APIs to create an operating system for reality. Having achieved the first goal, the company is now working on the second. "The whole purpose of this company wasn't'Hey there's this new technology!' It's what can AR do in its fully realized form and what is a native experience for AR that hadn't worked in prior mediums and what's stopping that stuff from being effective and how do you solve those problems," says Miesnieks. For Miesnieks the problems confronting augmented reality come down to creating believable visual objects that integrate seamlessly into the world.
Googlers advised us to go 10x, so we decided to organize an after exam 3-day intensive workshop (Boot Camp) for the skill building and development of both members of the club and intending members. The bootcamp which was held at pre-informed venues started on Friday, 12th of October 2018 and ended on Monday, 15th of October 2018 between the hours of 9am and 2pm each day. The bootcamp was aimed at training attendees on different stacks of development i.e Web development which includes both front-end and back-end development, mobile app development and machine learning/AI. On the first day of the bootcamp; Friday, 12th of October 2018, the front-end web development class with 7 students in attendance started an intriguing journey of learning by building a 3-paged website named DSCBLOG. The back-end web development class with 9 students in attendance also started a fascinating journey of learning by creating backend data for a pre-existing blog page template.
Research in cutting-edge areas like machine learning continues to demonstrate that computers have the potential to predict outcomes and enhance physicians' performance in a wide range of tasks. For example, the U.S. Food and Drug Administration this year approved the first AI diagnostic -- a test for diabetic retinopathy, that produces a result without the need for human intervention. However, this is just the beginning. Healthcare stands poised for a transformation driven by AI and ML, and fueled by an abundance of data sources – electronic health records, genome sequences, mobile devices, embedded sensors, and even billing records. AI and ML solutions are already being used by thousands of companies with the goal of improving the healthcare experience.
I had the opportunity to hear Nuno Costa, Senior Director, Cloud and AI, Microsoft Azure Marketplace during Outsystems' NextStep user conference. While I was not able to speak to Nuno after his presentation on "The AI Transformation," I was able to get the following answers to my questions from Microsoft: Microsoft's goal is to make AI accessible to every organization and help augment human ingenuity through the power of intelligent technology. We do this using a thoughtful approach when designing AI systems that extend and empower human capabilities in all aspects of life. Building powerful platforms that make innovation faster and more accessible: We have created APIs and other tools that developers, customers and data scientists can use to add intelligence into existing products and services or to build new ones. Developing a trusted approach that puts you in control and protects your data: As AI systems get more sophisticated and start to play a larger role in people's lives, it's imperative for companies to develop and adopt clear principles that guide the people building, using and applying AI systems.
SK Telecom has opened up access for developers to write services for its artificial intelligence (AI) speaker NUGU. NUGU Developers will allow anybody to design services without the need to know how to code, the telecommunications carrier claimed. Services will go through a review process to see whether it will overheat devices, or whether the service contains profanities, before it is rolled out to NUGU users. The telco is hoping its AI platform will wider application beyond the home, and expand into shopping, security, entertainment, health, and education. SK Telecom said it will also publish an SDK for its AI platform at a later date.