As unsettling as this might sound, AI computing company NVIDIA plans to set up over a billion AI cameras by 2020. In a world policed by AI security cameras, people will be increasingly identified by their own physical traits, making it easier to prove ID and harder to fake it. Connected urban spaces need to be heavily coordinated to run smoothly, and machine learning equipped CCTV could offer a solution. Hard evidence would make it far easier for judges and juries to make decisions, but could have implications for professional lawyers by making their jobs somewhat obsolete.
LDK brings together researchers from across disciplines concerned with the acquisition, curation and use of language data in the context of data science and knowledge-based applications. With the advent of the web and digital technologies, an ever-increasing amount of language data is now available across application areas and industry sectors, including social media, digital archives, company records and so-on. The efficient and meaningful exploitation of this data in scientific and commercial innovation is at the core of data science research, employing Natural Language Processing (NLP) and machine learning methods as well as semantic technologies based on knowledge graphs.
One of China's largest state-owned lenders is to set up a fintech lab with one of the world's largest internet and gaming companies. Bank of China (BOC) and Tencent have established a joint financial technology laboratory, the lender said in a statement this week. The lab will work on cloud computing, big data, blockchain and artificial intelligence to promote financial innovations.
Newswire) Research and Markets has announced the addition of the "Innovations in IoT-, Machine Learning-, and Artificial Intelligence-based Security Solutions" report to their offering. This edition of Network Security TOE provides a snapshot of the emerging security solutions based on artificial intelligence, machine learning, and other new technologies that help companies mitigate threats and defend against modern attacks. TechVision Information & Communication Technology cluster provides global industry analysis, technology competitive analysis, and insights into game-changing technologies in the wireless communication and computing space. These innovations have profound impact on a range of business functions for computing, communications, business intelligence, data processing, information security, workflow automation, quality of service (QoS) measurements, simulations, customer relationship management, knowledge management functions and many more.
While these moves point to AI one day becoming ubiquitous for business tasks, Google's release of an academic paper called "One Model to Learn Them All" shows another route for machine learning to become commonplace. The paper describes a single machine learning template -- dubbed the MultiModel -- that can perform multiple tasks exceptionally well. The company's product offers automated guidance so that people writing job descriptions are able to maximize their response from interested and qualified applicants. In the report, researchers at the Facebook Artificial Intelligence Research lab describe using machine learning to train their "dialog agents" to negotiate.
Certainly, none of this is a secret: Whether we're talking AI or apps, technology has fundamentally altered the way we interact with companies. For those of us who work to create digital experiences, the challenge then is to strike a meaningful balance between artificial and human intelligence. AI is fantastic at sparking a conversation, but at points of complexity, make it easy for customers to pivot to human interactions. Leverage human intelligence and instantaneous connectivity wherever ambiguity exists.
You might have also heard about narrow, general and super artificial intelligence, or about machine learning, deep learning, reinforced learning, supervised and unsupervised learning, neural networks, Bayesian networks and a whole lot of other confusing terms. But then it gives a more understandable definition of machines that mimics cognitive functions such as problem solving and learning. General AI, also known as human-level AI or strong AI, is the type of Artificial Intelligence that can understand and reason its environment as a human would. According to University of Oxford scholar and AI expert Nick Bostrom, when AI becomes much smarter than the best human brains in practically every field, including scientific creativity, general wisdom and social skills, we've achieved Artificial Super Intelligence.
"We want to find terrorist content immediately, before people in our community have seen it," read the message posted Thursday. AI, Facebook says, is also useful for identifying and removing "terrorist clusters." So when we identify pages, groups, posts or profiles as supporting terrorism, we also use algorithms to "fan out" to try to identify related material that may also support terrorism." Facebook said AI has helped identify and remove fake accounts made by "repeat offenders."
SAS' AI experts Steve Holder and Wayne Thompson discuss the realities in applied Machine Learning & Artificial Intelligence alongside Dr. Pierre Montagnier, Director, Customer Analytics, Bank of Montreal and Joseph Geraci, Data Scientist. SUBSCRIBE TO THE SAS SOFTWARE YOUTUBE CHANNEL http://www.youtube.com/subscription_c... ABOUT SAS SAS is the leader in analytics. Through innovative analytics, business intelligence and data management software and services, SAS helps customers at more than 75,000 sites make better decisions faster. Since 1976, SAS has been giving customers around the world THE POWER TO KNOW .
An excellent example of this is the company Frank, an AI based advertising firm for startups. Overall, while Wall Street recognizes Artificial Intelligence's potential impact in the creative world, it's safe to say when it comes to telling a story, that human touch will never go away. Perhaps one of the most underrated things about AI is its potential to eliminate practices altogether. While before B2B sales could rely on either targeted ads or sales teams to bring clients in, software like Leadcrunch's is eliminating those processes altogether.