A dermatologist uses a handheld microscope called a dermatoscope to examine skin lesions. Stanford University researchers think a new AI developed could potentially provide another layer of screening. Stanford University researchers say that they've trained a deep learning algorithm to identify skin cancer as well as dermatologists. The researchers pitted the artificial intelligence against 21 board-certified dermatologists when it came to diagnosing skin lesions. The deep convolutional neural network's performance was on par with the experts when it came to spotting the most common cancers--keratinocyte carcinomas versus benign seborrheic keratoses.

Identifying or authenticating people based on how they type is not a new idea, but thanks to advances in artificial intelligence it can now be done with a very high level of accuracy, making it a viable replacement for other forms of biometrics. Research in the field of keystroke dynamics, also known as keyboard or typing biometrics, spans back over 20 years. The technique has already been used for various applications that need to differentiate among computer users, but its widespread adoption as a method of authentication has been held back by insufficient levels of accuracy. Keystroke dynamics relies on unique patterns derived from the timing between key presses and releases during a person's normal keyboard use. The accuracy for matching such typing-based "fingerprints" to individual persons by using traditional statistical analysis and mathematical equations varies around 60 percent to 70 percent, according to Raul Popa, CEO and data scientist at Romanian startup firm TypingDNA.

Apple has formally joined the Partnership on AI as a founding member, confirming an earlier report, the organization announced today. Apple has joined the Partnership on AI as a founding member. The company has been involved and collaborating with the Partnership since before it was first announced and is thrilled to formalize its membership alongside Amazon, Facebook, Google/DeepMind, IBM, and Microsoft.Siri co-founder Tom Gruber, who heads advanced development of the assistant at Apple, will serve on the Partnership's inaugural Board of Trustees. The Partnership on AI is a non-profit research consortium established in September to "study and formulate best practices, to advance the public's understanding of AI, and to serve as an open platform for discussion and engagement about AI and its influences on people and society," according to its website. Apple has always been notoriously secretive, but it recently started allowing its AI and machine learning researchers to publish papers.

Airlines and airports can save an estimated $25 billion annually from flight disruptions by harnessing artificial intelligence, cognitive computing, predictive analytics and other progressive technical capabilities, says an industry report. According to a report by Sita, a technology services provider to air transport industry, predictive tools using artificial intelligence and cognitive computing are likely to be adopted by half of airlines and airports over the next decade, which can help them save up to $25 billion. Predictive technologies can provide passengers with more relevant information about their journey to help them create more seamless and personal experiences, Nigel Pickford, director market insight at Sita said. "Airlines and airports are focusing on technologies that will make them more responsive to issues in their operations. This will enable them to improve their performance and customer services," Pickford said.

When you imagine the ideal chatbot, what do you picture? The bot in your mind's eye may resemble something along the lines of blockbuster movie favorites like Baymax from "Big Hero 6," "Wall-E's" EVE, or my personal hero, C-3PO. You probably didn't imagine a small tower that lives on your shelf, like Alexa; a virtual being that resides in the cloud and is accessed through your smartphone, like Siri; or even a pop-up chat window on your computer screen that can answer questions about your favorite products. Besides their looks, there's another major difference between today's artificial intelligence (AI) and our movie favorites: Our most beloved fictional chatbots all possess emotional intelligence (EI). As we move into the future, AI needs humanizing qualities to improve the way it interacts with us, meets our needs for information, and even controls the other technology around us.

Identifying or authenticating people based on how they type is not a new idea, but thanks to advances in artificial intelligence it can now be done with a very high level of accuracy, making it a viable replacement for other forms of biometrics. Research in the field of keystroke dynamics, also known as keyboard or typing biometrics, spans back over 20 years. The technique has already been used for various applications that need to differentiate among computer users, but its widespread adoption as a method of authentication has been held back by insufficient levels of accuracy. Keystroke dynamics relies on unique patterns derived from the timing between key presses and releases during a person's normal keyboard use. The accuracy for matching such typing-based "fingerprints" to individual persons by using traditional statistical analysis and mathematical equations varies around 60 percent to 70 percent, according to Raul Popa, CEO and data scientist at Romanian startup firm TypingDNA.

WIRE)--Virtualitics, LLC, a data analytics in virtual reality (VR) and augmented reality (AR) startup, today announced the launch of its new tool that combines powerful data visualization in VR/AR and artificial intelligence to provide insights and discover actionable knowledge hidden in big and complex data. The company also announced they closed a $3 million investment seed round from angel investors. Virtualitics combines VR/AR with machine learning and natural language in a data exploration, collaborative environment suitable for both data scientists and non-expert users. The technology is the only one of its kind that can provide a simultaneous rendering of up to 10 dimensions, revealing multidimensional relationships present in the data, which may not be discoverable in any other way. The company is based on over a decade of research at Caltech and NASA's Jet Propulsion Laboratory (JPL) and was founded by: professor George Djorgovski, the founding director of Caltech's Center for Data-Driven Discovery; Michael Amori, former Deutsche Bank managing director, Harvard MBA and Caltech alumnus; Dr. Ciro Donalek, computational scientist at Caltech; and Dr. Scott Davidoff, manager of the Human Interfaces Group at NASA's JPL.

WriteLab is a web application with a clear mission: to help you write better. Users upload or copy and paste their writing to the site, and WriteLab analyzes it using a combination of machine learning and natural language processing, then makes suggestions for how to improve the writing sample. WriteLab also comes with built-in analytics and document sharing capabilities, meaning it allows peer and teacher feedback to be integrated into its assessment. WriteLab is unique because it grounds its feedback in pedagogical principles. Instead of simply correcting a writer's mistakes, this web app makes suggestions and gives explanations for each so that the writer can understand the reasoning behind the corrections and decide which ones they want to keep. For instance, when I used the phrase "in recent years" in my writing sample, WriteLab asked, "What does in recent years add to your sentence?"

Increased investor interest in AI startups – from around 10 deals in Q1'11 to over 120 in Q2'16 – can be attributed to recent advances in machine learning algorithms, particularly "deep learning" technology, a souped up version of AI. Just this week, Google integrated deep learning into its Google Translate tool; Baidu announced the launch of DeepBench, an "open source benchmarking tool for evaluating deep learning performance across different hardware platforms"; and NVIDIA introduced Xavier, a deep learning-based supercomputer for driverless cars. In the private market, Google put deep learning in the spotlight back in 2014 when it acquired 4 startups focused on this AI tech in quick succession: DeepMind, Vision Factory, Dark Blue Labs, and DNNresearch. Apple, which joined the race in 2015, most recently acquired Turi, which has developed a deep learning toolkit, among other AI-based solutions. Not to be outdone, Intel has acquired around 5 AI startups since January 2015, including deep learning startup Nervana Systems and, more recently, Movidius.

As investigations into Wells Fargo's systemic banking fraud continue, new findings show that retail branches were given notice of internal audits a day or three in advance of them taking place. This allowed for managers and employees to scrub, purge and modify documents and data, which, by most firsthand accounts, probably looked something like this. With new oversights and practices well underway at Wells Fargo, many banks are having a broader discussion of just what guaranteed transparency and compliance looks like beyond just throwing people and money at the situation. Many institutions are asking themselves, especially in the wake of the Wells Fargo mess, "What does the future of controls, compliance and processes look like?" The answer to this question, like so many others in a rapidly changing, operationally strained industry, is increasingly rooted in the adoption of technologies like automation and artificial intelligence (AI).