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The unpublished work was presented at the Society for Neuroscience's annual meeting in Washington, D.C. It's one example of different kinds of learning that researchers would like to develop in AI -- and one based on aspects of human intelligence that computers haven't mastered yet. The approach is among a few being tried but one that some researchers are excited about because, as Hassabis recently wrote, "[The human brain is] the only existing proof that such an intelligence is even possible." "A lot of the machine learning people now are turning back to neuroscience and asking what have we learned about the brain over the last few decades, and how we can translate principles of neuroscience in the brain to make better algorithms," says Saket Navlakha, a computer scientist at the Salk Institute for Biological Sciences. Last week, he and his colleagues published a paper suggesting that incorporating a strategy used by fruit flies to decide whether to avoid an odor it hasn't encountered before can improve a computer's searches for similar images. The big question for all AI approaches: What problem is a particular algorithm best suited to solve, and will it be better than other AI techniques?
"Anyone who wants to be 100% sure, will be 100% late." I heard this sentence recently at the IoT Forum in Munich. It is a very good summary of the feeling that is emerging in the debate on Industry 4.0. The buzzword battles of the past 48 months seem to be just that; buzzword battles. Stakeholders seem to be stuck waiting for the proposition with guarantees.
Walmart delivered another blockbuster quarter fueled by strong online sales growth and an uptick in its food business. The Arkansas-based company said e-commerce sales surged 50 percent in the fiscal third quarter, while same-store sales were up 2.7 percent. The world's largest retailer has been pursuing a digitally focused growth strategy for the last year, which includes an aggressive push into online grocery and increased capital spending on digital supply chain capabilities and in-store technology. Walmart chief executive Doug McMillon noted that a series of strategic initiatives paid off last quarter, including expanded online grocery pickup, and the launch of mobile express returns. McMillon also highlighted the company's use of aisle-roaming robots to improve out-of-stock issues and price discrepancies in its stores.
Artificial intelligence (AI)-enabled sales technologies have made predictive selling a reality by combining data and analytics to drive sales success. AI can help salespeople prioritize leads and make relevant product or service recommendations using data science to provide guidance. This frees sales teams to focus on the art of sales and build relationships that lead to new opportunities. However, one of the most transformative facets of AI-driven predictive selling is its potential to help sales teams make the leap from static to real-time action. With this approach, AI can provide a path to success by examining buyer behavior and analyzing other data (e.g., social media) to identify signals playing out in real time.
Everyone's excited about AI and machine learning these days, so new conferences are popping up everywhere. We've identified more than 150 events on our ultimate AI conference list, but which ones are actually worth your time? As a business leader, you want to learn about new technologies from experienced technical experts (not just talking heads) but also pick up practical machine learning strategies for applying them to your enterprise. After attending many AI summits as speakers, attendees, and press, we've compiled our favorite five events that strike the perfect balance between bringing you content from respected industry leaders while keeping information about applied artificial intelligence accessible and practical for non-technical executives. These are the best non-technical AI conferences to add to your 2018 business calendar.
If you're good at games, you might also be good at everything else. That's according to a new study that found two of the world's most popular video games act like IQ tests. Those who are the best at them also get the highest scores on traditional intelligence tests, suggesting that video games might actually make you smarter. Both games – League of Legends and Defence of the Ancients 2 (DOTA 2) – combine strategic thinking with quick reactions, and so could both reward and train up particular kinds of thinking. That seemed to be confirmed by the study, which compared people's levels of skill in the games with their IQ.
AI is a term that gets bandied about a lot these days. It's the capability du jour, the follow-up hit to "big data." But what does it really mean? Luis Perez-Breva is a lecturer and research scientist at MIT's School of Engineering and the originator and lead Instructor of the MIT Innovation Teams Program. He's the author of Innovating: A Doer's Manifesto for Starting from a Hunch, Prototyping Problems, Scaling Up, and Learning to Be Productively Wrong.
The dynamic nature of the cloud means that change is a constant when it comes to modern cloud-based infrastructure. Delivering modern applications to end users, therefore, is a constantly shifting challenge. Delivery automation helps IT Ops teams ensure that apps are providing an optimal end user experience over hybrid-cloud and multi-cloud environments, no matter what the current state of the infrastructure is. To employ a delivery automation strategy that reflects your business rules, making real-time decisions based on a combination of real user monitoring, synthetic testing, APM, NGINX / local load balancers, and other data sources, is critical. In his session at 21st Cloud Expo, Simon Jones, Evangelist and head of marketing for Cedexis, showed you how easy it can be to leverage these disparate data sources to automate your hybrid-cloud app delivery and ensure your end users enjoy their app experience.
There's no question that ad tech company Google are making some significant movements in the digital advertising space, most notably on the integration of Artificial Intelligence (AI) and Machine Learning. Jennifer Prior, lead of agency UK at Google, presented this at Thursday's (November 9) digital advertising conference, hosted by Independent PPC and digital agency Search Star, which emphasised the importance of advertisers moving away from manual tasks and letting machines complete the data collecting in an increasingly saturated market. With the move of automation across internal projects growing, how can advertisers best utilise this technology to improve ad performance and targeted campaigns? Fresh from her session at the Search Star conference, PerformanceIN caught up with Prior for her take on how advertisers can use AI and Machine Learning to engage more with customers and overcome certain challenges along the way. Jennifer Prior: I'm on the UK agency team and what we do is partner with UK leading agencies across the country and help them to effectively support their advertisers.
Artificial intelligence is strategically important for driving enterprise strategies. Every day, new examples are coming out of new problems being solved and old markets being disrupted by what is collectively called "Artificial Intelligence." Enterprises that do not have an AI strategy would be wise to start working on one straight away. Unfortunately, managers often lack understanding when it comes to AI and it started with the term itself. Artificial General Intelligence is what people think of and see destroying the world in apocalyptic summer blockbuster movies.