Achieving Human-Level Intelligence through Integrated Systems and Research

AI Magazine

This special issue is based on the premise that in order to achieve human-level artificial intelligence researchers will have to find ways to integrate insights from multiple computational frameworks and to exploit insights from other fields that study intelligence. Articles in this issue describe recent approaches for integrating algorithms and data structures from diverse subfields of AI. Much of this work incorporates insights from neuroscience, social and cognitive psychology or linguistics. The new applications and significant improvements to existing applications this work has enabled demonstrates the ability of integrated systems and research to continue progress towards human-level artificial intelligence. However, we believe that progress towards human-level artificial intelligence and the applications it enables requires a deeper and more comprehensive understanding that cannot be achieved by studying individual areas in isolation.

What are mobile AI chips really good for?


What are they actually good for? In the recent months we've heard a lot about specialized silicon being used for machine learning in mobile devices. Apple's new iPhones have their "neural engine"; Huawei's Mate 10 comes with a "neural processing unit"; and companies that manufacture and design chips (like Qualcomm and ARM) are gearing up to supply AI-optimized hardware to the rest of the industry. What's not clear, is how much all this benefits the consumer. When you're buying your phone, should an "AI chip" be on your wish list?



But I encountered a significant difference using Google Home devices to control my Vivint Smart Home system compared to Amazon's Echo. When I say "OK Google, turn on my kitchen lights," the Google Assistant responds "OK, here's Vivint." He said if Vivint were to choose the other method, which would allow the Google Assistant to control the home more directly, Vivint would need to allow Google to access the state of the home on a full-time basis. I was told it explains how Google's smart home API works for third parties that integrate directly.



Amit Zavery, senior vice president and general manager of integration products for the Oracle Cloud Platform, recently explained the company's positioning in an exclusive interview with SearchCloudApplications. We have embedded machine learning algorithms and AI systems into our database, management products, as well as applications for many years. It is up to all of the providers of chatbot technology, including Oracle, to adhere to industry standards, contribute back into the community, and collaborate across different systems to make sure things work. Zavery: When we look at our chatbot technology, we work with several messaging services providers to make sure we can integrate and interoperate with Facebook Messenger, WeChat and others.

Samsung Buys Artificial Intelligence Startup to Enhance Virtual Assistant Experience


With the aim to bolster its virtual personal assistants to deliver an Artificial Intelligence (AI)-based ecosystem across its devices and services, Samsung Electronics has acquired Viv Labs, an AI start-up. Viv was founded by Dag Kittlaus, Adam Cheyer and Chris Brigham who were part of the original virtual assistant Siri team that Apple bought in 2010. Viv has developed a unique, open AI platform that gives third-party developers the power to use and build conversational assistants and integrate a natural language-based interface into renowned applications and services, Samsung said in a statement on friday. "Unlike other existing AI-based services, Viv has a sophisticated natural language understanding, machine learning capabilities and strategic partnerships that will enrich a broader service ecosystem," said Injong Rhee, Chief Technical Officer of the Mobile Communications business at Samsung Electronics. "Viv was built with both consumers and developers in mind.

Learning IoT Users' Habits with craft ai - ARTIK


Editor's note: In this guest post, craft ai describe the thinking and implementation behind their winning entry in the VIVA Tech hackathon hosted by Samsung and Legrand. On July 2, the craft ai team woke up way too early for a Saturday to join fellow developers at the Samsung/Legrand booth at VIVA Tech and hack for a day. Our objective: Show that smart homes can offer a better user experience thanks to artificial intelligence--beyond smartphone remotes, complicated dashboards and manual scenarios! This is the tale of how we used craft ai in conjunction with Samsung ARTIK to make a few Legrand devices learn usage patterns and automate themselves. Managing the light in a house is one of our pet use cases at craft ai. launches 39 per month pro subscription to its A.I. assistant


Nearly three years ago, the team behind began researching and developing a smart personal assistant to help us schedule meetings and make sense of our calendars. Today, the company's dream is being realized as it moves out of beta and launches a professional version of its A.I.-powered assistant to the world. For 39 per month, you can schedule an unlimited number of meetings each month, while having access to VIP contacts and personalized signatures. If you're not familiar with, its main products are two "assistants" named Amy and Andrew that you communicate with through email. There's no app that needs to be downloaded -- you just include a special email address in all of your correspondence, asking the virtual assistant to find time on your calendar to set up a meeting with whomever you want.

The ROI of Machine Learning in Business: Expert Consensus


Unlike other components to an enterprises' technology mix, determining the ROI of machine learning is a less-than-obvious process, particularly when solutions are new and little by way of case studies or benchmarks exist. While we're far from a world where SMBs (small- and mid-sized businesses) outside of Silicon Valley integrate AI into their regular operations, we will undoubtedly see an explosion of novel uses in industry and enterprise over the next 5 to 10 years, and executives are rightly concerned with how to make the most of those technology, time, and staffing decisions. If you're a business who's new to the machine learning scene (and that's a vast majority), there are more burning questions than answers at present. "What are the criterion needed for a company to derive maximal value from the application of machine learning in a business problem?" Tapping into our hundreds of interviews (on our podcast and otherwise), as well as reaching out to other experts in the field, allowed us to glean valuable insight from researchers and executives across the globe.

Oracle: We're going to be the practical AI people, we swear it


Oracle, like so many other enterprise IT specialists, is talking up plans to integrate machine learning into its software. What the Redwood City giant hopes will set it apart from competitors is the way it plans to use those features. Where rivals have been touting AI and machine learning as a way to overhaul and redefine platforms, Oracle hopes that its Adaptive Intelligence features will instead complement its other cloud compute offerings. Introduced last month at the annual OpenWorld conference in San Francisco, Adaptive Intelligence will look to tie machine learning into Oracle's cloud to make features more personalized and better suited for individual companies. Part of Oracle's approach is based on the availability of data it has to feed into the machine learning system.

iTWire - Artificial intelligence and deep machine learning – the next wave


Samsung Electronics has announced that it has agreed to acquire Viv Labs, "the intelligent interface to everything." Viv has developed an open artificial intelligence (AI) platform that gives third-party developers the power to use and build conversational assistants and integrate a natural language-based interface into applications and services. It claims to be well advanced over other language interfaces like Siri or Google Now where accuracy cannot be relied on. Viv's creator, Dag Kittlaus should know as he co-created Siri too. He said, "Viv would breathe life into the inanimate objects of our life through conversation."