It may sound like YouTube has been possessed, but the demonic sounds coming from the clip below are voice commands to access a smartphone's virtual assistant. Researchers have found an attack that uses'hidden voice commands' embedded within clips that lets hackers prompt the assistant to perform a number of tasks. This attack lets hackers make phone calls, use Venmo to transfer money or worse, download malware giving cyberthieves complete control of the handset. Researchers have found an attack that uses'hidden voice commands' embedded within YouTube videos that lets hackers prompt the assistant to perform a number of tasks. They placed an Android 10ft away from the speaker and the'demonic sounds' said'OK Google' Researchers found that hackers are able to embed'hidden voice commands' in YouTube clips to control a smartphones virtual assistant.

Irrespective of your ideological viewpoint, the collective Women's marches around the world this past weekend were inspiring and illustrative of the collective power of women. Simultaneously, regions of the United States were being ravaged by deadly tornadic storms. Modern computer models were critical in identifying the evolution of atmospheric conditions to support severe weather. There is a curious connection between these two trains of thought. Trust me, I am about to make the connection.

Every post I read that says it is going to explain the relationship between artificial intelligence, machine learning, and deep learning goes way off the deep end into extremely technical terms and huge amounts of detail. So I decided to take a crack at a simple 2-minute explainer. Machine learning: Enabling computers to learn, usually "on their own," often with big datasets. Deep learning: Building multiple layers of abstractions on datasets to construct higher-level meaning. Sometimes, of course, it's easier to understand by walking through an example.

Citi Ventures, an arm of the bank that combines investments in startups with innovation developed in its six Citi Global Innovation Labs around the world, has announced a strategic investment in Feedzai, a machine learning company with a focus on real-time fraud prevention in ecommerce and banking. Feedzai said the investment will support its continued expansion of offerings to the financial services ecosystem. "Citi Ventures is actively exploring is the application of machine learning, which we are looking across multiple sectors including security, customer service, compliance, and data and analytics," said Ramneek Gupta, managing director and co-head of investing. In machine learning, it has invested in Feedzai, Cylance and Ayasdi "current portfolio companies deploying machine learning in innovative ways," Gupta said. "We have used Ayasdi's technology in several use cases and also provided valuable feedback and suggestions that helped Ayasdi evolve its product architecture for deployment into our own complex data environments. Our partnerships have also enabled us to learn a great deal from Cylance and Feedzai."

Let's start with definitions as they relate to big data: Artificial Intelligence: AI's goal is to understand neural function and imitate that ability of the brain to learn from a given set of circumstances. The brain is basically, in many cases, a Rube Goldberg machine. We have this limited set of evolutionary building blocks that we are able to use to get to a complex end state. Back in the 1980s, AI was a popular field among scientists: how experts do what they do, and how to reduce those tasks to a set of rules and program computers with those rules, effectively replacing the experts. Researchers wanted to teach computers to diagnose disease, translate languages, to even figure out what we wanted but didn't know ourselves.

The new year is in full swing, and so was Microsoft this week, with transformative work in artificial intelligence, retail, music, virtual reality and social good. Microsoft advanced its artificial intelligence efforts with plans to acquire Montreal-based Maluuba, one of the world's most impressive, deep-learning research labs for natural language understanding. Microsoft announced it will double the size of the lab in the next two years and give $6 million toward AI research to two Montreal universities. The announcements continue the ambitions of Microsoft to democratize artificial intelligence (AI) and leverage its potential to transform industries and humanity. If you didn't trek out to Joshua Tree, California, for the three-day concert event last year that launched Childish Gambino's latest album, "Awaken My Love," you're in luck: A new virtual reality experience can take you there.

Chatbots are a dime a dozen these days and every bot claims to have AI. Everyone seems to have their own definition of AI. What does AI really mean in the context of chatbots and is that the same as machine learning? Traditionally in computer science literature, what we call chatbots today are referred to as "chatterbots". These chatterbots were one of the first problems tackled under the gambit of AI and popularised because of the Turing test.

A charitable foundation backed by Mark Zuckerberg and his wife said Monday it has bought a Canadian artificial intelligence startup as part of a mission to eradicate disease. The Chan Zuckerberg Initiative did not disclose financial terms of the deal to acquire Toronto-based Meta, which uses AI to quickly read and comprehend scientific papers and then provide insights to researchers. Meta capabilities will be unified in a tool made available for free to scientists. Meta artificial intelligence can analyze insights across millions of papers, finding connections and patterns at scales and speeds impossible for humans to match unassisted. In the field of biomedicine alone, thousands of research papers are published daily.

Entire medical labs built on a computer chip, humans with superhero vision and smart sensors that can detect pollution at the speed of light are just a few predictions IBM has made about life in 2022. The New York firm has released its '5 in 5 list', revealing new innovations that could change the way we work live and interact with each other over the next five years. Humans should expect to see advancements in artificial intelligence, smart sensors, telescopes, sensors and medical devices. IBM predicts that technology that will'listen' to speech patterns and then analyze them with a text analysis algorithm that can identify any issues. Technology will analyze patterns in speech and text that could hold clues to mental illness.

Andrea: First and foremost, this is not an overnight deal rather it is a journey. Your road map and strategies must align with the objectives and use cases we identify as benefiting from these technologies and know that they will evolve. Benefiting from cognitive technologies require that you measure outcomes and continue to tune and train your systems and users. In fact, ensure that you plan to govern the tuning mechanisms and training sets closely whether human built or system generated. The competitive advantages that businesses stand to gain are undeniable and as these technologies continue to evolve they will take on a life of their own.