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) …
Artificial intelligence is one of the technologies with the most transformative potential in business. According to research by McKinsey, 70 per cent of companies are likely to have adopted at least one form of AI by 2030. This will contribute to an additional $13tr of global economic activity. Machine learning – a subset of artificial intelligence – enables machines to get better at executing tasks without human intervention, by finding patterns in data, and learning from their experience. It's no surprise, therefore, that there has been an explosion in the number of machine learning companies worldwide.
"Correlation does not imply causation" we all know this mantra from statistics. And we think that we fully understand it. Human (and not human) brains, being machines to find patterns, quickly understand that my coffee mug broke because it fell to the floor. One event (the falling) occurred just before the other (mug breaking) and without the first event, we would never see the second. So not only exists a correlation between mugs falling and mugs breaking there is also a causal relation (with lots of physics going on).
The Apple Watch Series 4 is the best smartwatch you can buy. There's no single killer feature that makes the Apple Watch Series 4 (as tested: 40mm with GPS and GPS/LTE), our pick for best smartwatch. It's the fact that it does almost everything better than every other smartwatch we've come across. That it can be used as a minimalist device, for keeping abreast of your smartphone notifications, or as an all-in wearable that will let you take or make phone calls, send text messages, navigate through a crowded city and listen to music without bringing your cellphone with you (provided you spring for the GPS/LTE version) is the icing on the cake. Setting up the Apple Watch to work with your iPhone is almost effortless. Using this watch, with its responsive OLED touchscreen display and rotating Digital Crown (Apple's marketing mumbo jumbo for the knob on the side of the watch) is just as easy. You can use your finger to navigate apps and menus, scroll through text with the Digital Crown or ask Siri to do some hands-free heavy lifting for you.
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.
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.
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.
Breast cancer is the second leading cancer-related cause of death among women in the US. Early detection, through routine annual screening mammography, is the best first line of defense against breast cancer. However, these screening mammograms require expert radiologists (i.e. A radiologist can spend up to 10 hours a day working through these mammograms, in the process experiencing both eye-strain and mental fatigue. Modern computer vision models, built principally on Convolutional Neural Networks (CNNs), have seen incredible progress in recent years.
I just briefly wanted to say a little bit about my background. I studied Math and Computer Science in college and then did a Ph.D. in Math. I worked as a quant in Energy Trading and that's where I first started working with data. I was an early data scientist and backend developer at Uber. I taught full stack software development at Hackbright. I really love teaching and I think I'll always return to teaching in some form. And then two years ago, together with Jeremy Howard, I started fast.ai with the goal of making deep learning more accessible and easier to use. I just have one slide about fast.ai. We have this, as William mentioned, a totally free course, "Practical Deep Learning for Coders." The only prerequisite is one year of coding experience. It's distinctive in that there are no advanced math prerequisites, yet it takes you to the state-of-the-art. We've had a lot of success. We've had students get jobs at Google Brain, have their work featured on HBO and in Forbes, launch new companies, get new jobs. I wanted to let you know that this is out here, and this was a partnership between fast.ai, which is a non-profit research lab, and the University of San Francisco's Data Institute.
Doctors could soon get some help from an artificial intelligence tool when diagnosing brain aneurysms -- bulges in blood vessels in the brain that can leak or burst open, potentially leading to stroke, brain damage or death. The AI tool, developed by researchers at Stanford and detailed in a paper published June 7 in JAMA Network Open, highlights areas of a brain scan that are likely to contain an Aneurysm. "There's been a lot of concern about how Machine Learning will actually work within the medical field," said Allison Park, a graduate student in statistics and co-lead author of the paper. "This research is an example of how humans stay involved in the diagnostic process, aided by an artificial intelligence tool." This tool, which is built around an algorithm called HeadXNet, improved clinicians' ability to correctly identify aneurysms at a level equivalent to finding six more aneurysms in 100 scans that contain aneurysms.