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) …
There is an app for that! It is such a common phrase. From finding phone numbers to scheduling upcoming meetings and even getting directions for best routes, apps have made our lives easier, thanks to technology. Companies such as Google, Amazon, Facebook, Alibaba and Apple, often called GAFAA, are leading the charge for even more change. They are leveraging Artificial Intelligence (AI) to mine data that is being collected by them from their users.
Organizations already have plenty to worry about in terms of data protection, but a new type of cyberattack could prove much more damaging and harder to remediate. A destruction of service (DeOS) attack has the potential to destroy the data backups and safety nets organizations rely on to restore their systems and data following an attack, according to Cisco. DeOS attacks are a more dangerous version of distributed denial of service (DDoS), which employs botnets to overload the target organization's servers with traffic until they can no longer handle the extra load. DDoS attacks last hours or days, after which a company can resume normal operations. This is one of the many new security risks that are emerging with the Internet of Things (IoT).
Regardless of where you stand on the matter of Data Science sexiness, it's simply impossible to ignore the continuing importance of data, and our ability to analyze, organize, and contextualize it. Drawing on their vast stores of employment data and employee feedback, Glassdoor ranked Data Scientist #1 in their 25 Best Jobs in America list. So the role is here to stay, but unquestionably, the specifics of what a Data Scientist does will evolve. With technologies like Machine Learning becoming ever-more common place, and emerging fields like Deep Learning gaining significant traction amongst researchers and engineers -- and the companies that hire them -- Data Scientists continue to ride the crest of an incredible wave of innovation and technological progress. While having a strong coding ability is important, data science isn't all about software engineering (in fact, have a good familiarity with Python and you're good to go).
The Australian Competition and Consumer Commission (ACCC) has provided an overview of its approach to potential future cases where machine learning algorithms are deployed as a tool to facilitate conduct that may contravene competition law. While the ACCC sees many economic advantages in "data-driven innovation" -- such as consumers being able to compare products online -- it also has a number of concerns, such as the possibility of such innovation increasing the risk of engaging in and sustaining collusion, and decreasing competition in the market without necessarily violating any competition laws. "Cases brought to date globally by competition authorities relating to the use or misuse of online databases to determine prices reflect circumstances where'something more' occurred," ACCC chair Rod Sims said at a conference in Sydney on Thursday. In the United States Airline Tariff case, a database that was accessible to travel agents was being used by airlines to negotiate supra-competitive airfares and ensure proposed price hikes were maintained, Sims said. "It is said that a profit-maximising algorithm will work out the oligopolistic pricing game and, being logical and less prone to flights of fancy, stick to it," he said.
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.
Artificial intelligence is a controversial topic in the technology world. While some argue that it brings with it a host of potential dangers, others say that it can make the world safer, easier, and more efficient. While both sides of the argument have merit, there is no denying that A.I. is here to stay, and will undoubtedly have a tremendous impact on tech startups. However, for now there are still some things that A.I. can't improve upon. In this guest blog post, Designli CEO/Co-Founder and friend of the Founder Institute Keith Shields describes what founders will still have to do on their own that A.I. can't.
Due to the length and depth of this conversation, we have broken down the key takeaways into three blog posts. To get these posts straight to your inbox, sign up here. Let's get started with Part 2! If you missed it, read Part 1 here. Diane: As a company, we're super clear from the beginning: Amy and Andrew are AI. But ultimately, it's up to the customer in the initial hand-off to determine how to introduce Amy or Andrew into the email thread.
Summary: This is the first in a series about Chatbots. In this first installment we cover the basics including their brief technological history, uses, basic design choices, and where deep learning comes into play. In subsequent articles we'll describe in more detail about how they are actually programmed and best practice dos and don'ts. According to Chatbot.org there are currently 1,331 active chatbots in the world. That's a lot for a technology that didn't even exist two or three years ago.
Welcome to California Inc., the weekly newsletter of the L.A. Times Business Section. I'm Business columnist David Lazarus, and here's a rundown of upcoming stories this week and the highlights of last week. One story stood out for me: Uber says it will introduce flying taxis in Los Angeles by 2020. "We're trying to work with cities in the early days who are interested in partnering to make it happen, while knowing that there will be pitfalls along the way," says Jeff Holden, Uber's chief product officer. Solar panels: President Trump will be presented with a plan Monday to impose restrictions and tariffs on imports of the most popular photovoltaic generating panels used in the booming U.S. residential and utility-scale solar markets.
I'm a big fan of Amazon's Echo line of smart speakers when it comes to smart home control, and the second-generation Echo is a big improvement over the first. But the Alexa-powered Fabriq Chorus delivers more bang for the buck and it sounds better, too. Where the Echo requires an AC outlet to operate, the Chorus features a 2200mAh rechargeable battery that Fabriq says can deliver up to 6 hours of performance, so you can take the speaker with you. The Chorus also comes with a contact-based charging cradle, so you don't need to bother with plugging and unplugging a USB cable to run the speaker--or charge its battery. The 6.3-inch tall cylindrical speaker is wrapped in wooly fabric (you can choose from four designs), with a thin LED ring around its base.