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) …
Twitter announced on Monday it has acquired Fabula AI, a London-based machine learning research company. Fabula AI's team will join Twitter and work alongside Sandeep Pandey as part of Twitter's research group focused on natural language processing, reinforcement learning, machine learning ethics, recommendation systems and graph deep learning. Fabula's graph deep learning research is used to detect network manipulation. With this acquisition, Twitter aims to use Fabula's capabilities to better identify bad actors and malicious behavior on the platform, in addition to enhancing its recommendations processes. While the Fabula research team will initially focus on improving the health of conversations happening on Twitter, the company said the team's efforts will expand in the future, aiming to help stop spam and abuse, as well as improve recommendations, the explore tab and the onboarding experience.
Knowledge engineering is the process of creating rules that apply to data in order to imitate the way a human thinks and approaches problems. A task and its solution are broken down to their structure, and based on that information, AI determines how the solution was reached. Often, a library of problem-solving methods and knowledge to solve a particular set of problems is fed into a system as raw data. Then, the system can diagnose the problem and find the solution without further human input. The result can be used as a self-help troubleshooting software, or as a support module to a human agent.
Into 3D printing world, "spaghetti" is the common term for the tangled mess of stringy plastic that's often the result of a failed print. Fear of their print bed turning into a hot plate of PLA spaghetti is enough to keep many users from leaving their machines operating overnight or while they're out of the house. The Spaghetti Detective, an open source project that lets machine learning take over when you can't sit watching the printer all day, might help those users to overcome that fear. This software monitors your prints for you, and notify you if it detects a possible print failure. The Spaghetti Detective is a plugin for OctoPrint, which runs on a Raspberry Pi, and gives you the ability to remotely control your 3D printer and view a live video feed as it runs.
Dr. Zaius: I think you're crazy. The concept of a second opinion in medicine is so common that most people take it for granted, especially given a severe diagnosis. Disagreement between two doctors may be due to different levels of expertise, different levels of access to patient information or simply human error. Like all humans, even the world's best doctors make mistakes. At Butterfly, we're building machine learning tools that will act as a second pair of eyes for a doctor and even automate part of their workflow that is laborious or error prone.
This report is about the impact of artificial intelligence (AI) on human capital management (HCM). It describes how AI is a key enabling technology, includes an AI primer for non-technologists and shares the five human resources technology phases enterprises have lived through and are living in now. It then looks at how AI changes HCM, starting with smart assistants and then highlighting the AI benefits for 10 areas of HCM automation. The report concludes with a set of recommendations for chief human resources officers and people leaders.
If you are reading this, you are on the internet, and this is thanks to Sir Tim Berners-Lee, True North 2019's keynote speaker. He invented the World Wide Web, which spawned the internet revolution, fundamentally changing the way we communicate and do business. With the growing adoption and breakthroughs in artificial intelligence and digital technologies, AI is poised to be the most disruptive revolution since the invention of the internet. What does this mean for humans in the workforce? University of Waterloo speakers at True North 2019 explore how AI is already transforming industry and what this means for the future of work.
The Fair Housing Act ("FHA"), enacted more than fifty years ago, prohibits discriminatory practices in housing. The FHA makes it illegal to "make unavailable or deny . . . In many jurisdictions, it is also illegal to discriminate on the basis of income (e.g. But recent technological advancements have raised new questions about the statute's reach--both in terms of which entities may be liable for violating the FHA and what new technologies may run afoul of the statute's prohibitions. For example, companies that use, facilitate, or support digital advertising need to be particularly cognizant of the FHA's purview.
By M. Marin OTC:VQSLF TSX:VQS READ THE FULL VQSLF RESEARCH REPORT VIQ Solutions (VQSLF) (VQS.V) operates a secure technology platform that offers artificial intelligence (AI) enabled video capture software and audio recording with voice-to-text capabilities. Speech recognition is an underlying foundation of the VIQ AI-enabled transcription platform. The company is focused on highly compliant, security-focused and regulated markets. VIQ, customers can obtain higher volume per worker and lower unitary cost and production time, according to management. Affordable devices that enable the collection of significant volumes of audio and video information are expected to drive new opportunities for VIQ.
Nowadays, the words machine learning and deep learning are on the lips of everyone participating in forums worldwide. In order to distinguish between machine learning and deep learning, below is a brief but detailed description of both concepts. Machine learning involves data-trained algorithms designed to make predictions for the future or to optimize processes and systems. The automation of these algorithms is what is known as artificial intelligence, and more specifically deep learning. In machine learning, there are different types of algorithms with either supervised or unsupervised learning.
Customer expectations are always multiplying. Enterprises struggle to improve customer experience and are making huge investments to meet their expectations. Regardless of the industry, the customers today expect that they will get best-of-breed experience and contextually relevant customer service. The real world is becoming digital and many more people have access to smart devices and objects. There is a need for rapid and relevant customer to company interactions on new networks and platforms.