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) …
Spending time on the internet is reducing our ability to focus on one task at a time - and it means we no longer store facts in our brains. Our lives have been forever changed by gaining access to infinite amounts of information at the touch of a button, but the way our head works has too. A new review looking into the effect of the online world on our brain functions from researchers in the UK, US and Australia, has drawn a number of surprising conclusions. The review focused on the world wide web's influence in three areas: attention spans, memory, and social cognition. It notes that the internet is now'unavoidable, ubiquitous, and a highly functional aspect of modern living' before diving into how it has changed our society.
San Francisco restaurants like Creator are leaning on automation to create low cost food. This could be an issue for humans as robots take over jobs. Domino's is taking a new autonomous delivery partnership for a spin. The pizza chain announced Monday it is teaming with robotics company Nuro for a pilot program in Houston later this year. Nuro has developed a custom unmanned vehicle, called the R2, for delivering goods including food and dry cleaning.
Jimmy Curran controls the TV with his eyes through this web-based Comcast remote. Most TV viewers take for granted the ability to change the channel from their couches with a remote control. That task may be near impossible for viewers with the most severe physical challenges. On Monday, Comcast launches a free web-based remote on tablets and computers that lets Xfinity X1 customers with spinal cord injuries, ALS (Lou Gehrig's disease) or other disabilities change channels on the TV, set recordings, launch the program guide and search for a show with their eyes. The free X1 eye control works with whatever eye gaze hardware and software system the customer is using, as well as, "sip-and-puff" switches and other assistive technologies.
There are immeasurable benefits to teaching your children to cook. Familiarity with the kitchen can help them learn math, science, problem-solving, and creativity. Additionally, cooking skills can also help create healthier eating habits and save a household money on prepared snack foods. Luckily, there are a number of cookbooks geared specifically for kids. Books that not only de-mystify the culinary arts, but also make cooking fun.
The trend is for the "thing" in the Industrial Internet of Things, or the functionality at the heart of any medical device, to get smarter. To meet this demand, we work with a range of IP partners to ensure we select and deliver the most appropriate processor core or DSP to meet each device's specific requirements. There is also an increasing trend for IoT devices to exploit Artificial Intelligence (AI) with the use of Machine Learning (ML) algorithms. Convolutional Neural Networks (CNN) are among the most popular ML networks, which require a high level of matrix multiplications, for which DSP SIMD operations are a good fit. Dedicated Neural Network Accelerators (NNAs) are the most efficient, achieving 10x performance levels compared to a DSP, but less flexible.
But what is that one special thing they have in common? They are all masters of deep learning. We often hear about AI, or self-driving cars, or the'algorithmic magic' at Google, Facebook, and Amazon. But it is not magic - it is deep learning. And more specifically, it is usually deep neural networks – the one algorithm to rule them all.
This talk will focus on creating a production machine learning pipeline using TFX. Using TFX developers can implement machine learning pipelines capable of processing large datasets for both modeling and inference. In addition to data wrangling and feature engineering over large datasets, TFX enables detailed model analysis and versioning. The talk will focus on implementing a TFX pipeline and a discussion of current topics in model understanding.
Alteryx today unveiled an Assisted Modeling tool that promises to make it simpler to create models based on machine learning algorithms using the company's namesake analytics software. Announced at the company's Inspire U.S. 2019 conference, Ashley Kramer, senior vice president of product management at Alteryx, says the beta release of the Assisted Modeling tool represents company's latest effort to provide end users with access to augmented analytics that reduce the level of expertise require to create advanced analytics. At the same time, Alteryx announced the 2019 edition of Alteryx Platform now includes an option to employ a familiar spreadsheet interface to interrogate data in addition to tools that foster collaboration and make it easier to centrally collect data. Kramer says the Assisted Modeling tool is designed to appeal to end users of any analytics level. It guides end users through how to construct machine learning models, understand how and why their models work, and then capture modeling decisions in a way that results in actionable intelligence.
We can also see this visually. We can verify the convergence of the chains formally using the Gelman Rubin test. Values close to 1.0 mean convergence. We can also test for correlation between samples in the chains. We are aiming for zero auto-correlation to get "random" samples from the posterior distribution. From these plots we see that the auto-correlation is not problematic.