Do you want to start a career in Artificial Intelligence and Machine Learning, but don't know where to begin? If so, this meetup can help by providing an ideal foundational mapping of the career paths and certifications that IT professionals should consider if they're interested in transitioning to AI and ML. Artificial intelligence is now being used in an ever-expanding array of products: cars that drive themselves; robots that identify and eradicate weeds; computers able to distinguish dangerous skin cancers from benign moles; and smart locks, thermostats, speakers and digital assistants that are bringing the technology into homes. Machine learning engineers develop devices and software that use predictive technology, such as Apple's Siri or weather-forecasting apps. They ensure machine learning algorithms have the data that needs to be processed and analyze huge amounts of real-time data to make machine learning models more accurate.

A lot of news hit the industry last month at CES 2020. Amid new product and service announcements were some partnership announcements too. One that's worth picking back up and discussing is the new working group formed by Amazon, Apple, Google, and the Zigbee Alliance called Project Connected Home over IP, which aims to develop a new, open standard for smart-home device connectivity. According to MarketsandMarkets, the smart-home sector will be worth 151.4 billion by 2024. Growth will be driven in part by factors like increased awareness and adoption of smart devices, a growing desire for saving energy and reducing carbon footprints, the ubiquitous adoption of smartphones, and increasingly accessible solutions in terms of pricepoint and ease of use.

I love LDA but I'm a firm believer that it doesn't have many practical/successful applications in the real world I am actually published on a couple of papers regarding applying LDA at large scale, while working at a large company. It doesn't seem to be a super common approach, and it appears to be really easy to get it wrong. Coupled with the fact that there are other approaches that are about as good, numerically, well, yeah, not a lot of people bother. Doesn't mean it can't work. Anyhow- after we applied a few tricks, the coherence of the topics produced was much (qualitatively) better than clusters being produced by other standard clustering/co-clustering approaches, albeit quantitatively worse.

These days, just about every smart home gadget works with Google Assistant or Amazon's Alexa. And, for the most part, Google Assistant and Alexa can do many of the same things--like give you the weather forecast, play music, read the news, and so much more. But, when you compare Alexa and Google Assistant head to head, which intelligent personal assistant is smarter? We took a deep dive into the nitty-gritty of both Alexa and Google Assistant to find out which smart assistant knows--and can do--more. The Hub Max comes with Google Assistant, so you can check the weather, watch recipe videos, control your smart home, and more.

Campus Queries is a series in which Daily Bruin readers and staff present science-related questions for UCLA professors and experts to answer. Q: What is artificial intelligence? A: Artificial intelligence is emulating a task on a computer that's easy for a human, said Judea Pearl, a researcher and UCLA computer science professor. Home assistants like Amazon's Alexa talk to their users the way people talk to each other, and many media portrayals of AI, like Skynet from the "Terminator" franchise, depict them as out to dominate humanity. Despite the range of intelligence displayed by AI in the real world and fiction, the larger question of what makes a computer truly intelligent remains.

In the sci-fi world crafted by Douglas Adams in "The Hitchhiker's Guide to the Galaxy," you'd just slap a bright yellow Babel fish in your ear and simply be able to understand any mix of languages around you. While we aren't quite there yet, language is becoming less of a barrier than in generations past. "Understanding is going to become the new normal," says Dave Limp, Amazon's senior vice president of devices and services. Kids "will never grow up in world where they aren't able to hear any language. To that end, today's technology is helping to interpret and translate the world around us in ways that are nearing seamless and in real time. From apps on your phone to increasingly multilingual virtual personal assistants, communicating as a tourist or with clients, friends and family who don't speak the same language is less of a challenge. Yet for all the authentique gains achieved in translation over the past several years, don't count on your phone, smart speaker, PC or ear device ...

That shiny new smart light bulb that can be turned on and off with Alexa and change colors with the Google Assistant could be vulnerable to a hack. Security researchers from Check Point tested the Philips Hue models, the most popular smart lights brand, and says it successfully hacked into a home's computer network. It went to Philips to show its findings and says Philips has now fixed the issue, but Yaniv Balmas, Head of Cyber Research at Check Point Research says consumers of off-brand lights may not be as lucky. Amazon lists many brands in its smart light offerings, including Philips, Wyze, Teckin and Berennis. Oh no:Amazon's Ring security shares your personal data with Facebook and Google, report says Balmas warns that the same protocol flaw found in the Hue bulbs is also used by other popular devices, including the Amazon Echo speakers and Belkin's WEMO.

Every week, Invector Labs publishes a newsletter that covers the most recent developments in AI research and technology. You can find this week's issue below. You can sign up for it below. Conversational applications such as digital assistants or chatbots are one of the main use cases of artificial intelligence(AI) applications across diverse industries. Currently, most conversational models remain highly specialized and constrained to specific domains.

Financial services companies are investing in voice and chat conversational technologies -- but can they really drive engagement and streamline customer communications? Catch up on this VB Live event to learn how Capital One and others are leveraging these technologies to create meaningful customer experiences. Consumer enthusiasm around digital assistants like Amazon Echo and Google Home sparked a run on investment in the financial services world. Financial institutions have been going all in on conversational technologies such as voice and chat in banking. "There's the near-term focus that a lot of folks gravitate to: How can we rip costs out of the system by having people interact with automation and AI instead of a human?" says Ken Dodelin, VP conversational AI products at Capital One.

Modern technologies like artificial intelligence, machine learning, data science have become popular but no one completely understands it. They appear to be extremely complicated to a layman. All these popular terms sound like a business executive or a student from a non-technical background. People often get confused by words like AI, ML and data science. In this blog, we clarify these technologies in basic words so you can easily distinguish them and how they are being used in business.