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) …
Every company may want to put artificial intelligence to work, but most companies aren't blessed with the ability to hire battalions of data scientists–nor is that necessarily the right approach. As Gartner analyst Svetlana Sicular once argued, often the best possible data scientist is the person you already employ who knows your data and simply needs help figuring out how to unlock it. For many business line owners, it's this kind of approach that may make the most sense, as they seek to be smarter with the data they already have. One company working to enable this vision is Cambridge, Massachusetts-based machine learning startup Akkio, which pairs AI with low code in an attempt to democratize AI. I caught up with company co-founder and COO Jon Reilly to learn more.
All the sessions from Transform 2021 are available on-demand now. As the IBM Watson experience shows, the path to AI success is fraught with challenges. Yet overall, it has been a very good year for AI and the companies developing it. So much so that Alphabet CEO Sundar Pichai, in a recent podcast recorded by BBC, says: "I view [AI] as a very profound enabling technology. If you think about fire or electricity or the internet, it is like that, but I think even more profound."
In 2016, three veterans of the still young autonomous vehicle industry formed Aurora, a startup focused on developing self-driving cars. Partnerships followed with major automakers, including Hyundai and Volkswagen. CEO Chris Urmson said at the time that the link-ups would help the company bring "mobility as a service" to urban areas--Uber-like rides without a human behind the wheel. But by late 2019, Aurora's emphasis had shifted. It said self-driving trucks, not cars, would be quicker to hit public roads en masse. Its executives, who had steadfastly refused to provide a timeline for their self-driving-car software, now say trucks equipped with its "Aurora Driver" will hit the roads in 2023 or 2024, with ride-hail vehicles following a year or two later.
I have been thinking a little about the impact of the digital technologies on education, it has been significant and with the advent pandemic ubiquitous. I am interested in NLProc (Natural Language Processing) and have been pondering it's applications in pedagogy and education a little. These brought back some memories of what can loosely be considered my Edtech Adventures. Around 2007, digital lessons, whether power point presentations or the interactive programs that had to be paid for started becoming part of our school's teaching plans. I am not sure if they helped the teachers teach better, nonetheless their presence in the lesson plans increased.
Its 2030 and a SUV driven by an Autonomous Driving System (ADS) is heading west on a highway. The SUV contains two parents in the front seats and two small children in the back seat. The SUV is going the speed limit of 100 km/hour. The SUV drives through a tight corner and as the SUV makes the final turn a large bull moose weighing over six hundred kilograms shambles onto the road. The autonomous driving system driving the SUV was trained to select the best alternative out of as set of possible outcomes and so the SUV abruptly swerves into the left lane currently occupied by a small sedan going the same speed as the SUV. The SUV ADS had determined that saving the lives of two adults and two children was the greater good even though there was a significant risk that the small sedan would be forced into oncoming traffic travelling East putting the two adult occupants at mortal risk.
One night last fall, unable to sleep, Joshua Barbeau logged onto a mysterious chat website called Project December. It was Sept. 24, around 3 a.m., and Joshua was on the couch, next to a bookcase crammed with board games and Dungeons & Dragons strategy guides. He lived in Bradford, Canada, a suburban town an hour north of Toronto, renting a basement apartment and speaking little to other people. A 33-year-old freelance writer, Joshua had existed in quasi-isolation for years before the pandemic, confined by bouts of anxiety and depression. Once a theater geek with dreams of being an actor, he supported himself by writing articles about D&D and selling them to gaming sites. Many days he left the apartment only to walk his dog, Chauncey, a black-and-white Border collie. Usually they went in the middle of the night, because Chauncey tended to get anxious around other dogs and people. They would pass dozens of dark, silent, middle-class homes. Then, back in the basement, Joshua would lay ...
What used to be a permanent lab entity just a few years back has found its way out of the machine rooms and entered different industries and business processes across the globe! We are talking about conversational AI or what we call in the common language -- a chatbot! Recent research by the MIT Sloan Management Review and BCG suggests that more than 70% of the executives feel that AI is going to play a pivotal role in their business organizations. The AI elements of chatbots are readily available for customization and as-is use in various business scenarios. However, the mammoth work of managing the data interplay, process complexities, and technology interfacing happen in-house! The chatbot builders must have smart functionalities and a zero or slight learning curve for effortless and efficient usage. Here, we share the best chatbot software for businesses in 2021, with more functionalities and less work.
When it comes to the mobile app industry, businesses of all sizes and specialisations confront strong competition. This position compels them to keep up with all developing digital developments in order to maintain their worth. Recognizing the huge influence of artificial intelligence on business, top firms such as Amazon, eBay, and Tinder make extensive use of AI in their applications to generate tailored mobile user experiences and improve profitability. Start-ups also raise more investment for AI integrations, propelling them to high marketability and competitiveness. Annually, more AI apps go viral, bringing greater exposure and revenues to their owners.
Alphabet's X, its R&D lab, announced Friday morning that its next big bet is in industrial robotics. Its new early-stage company Intrinsic is a robotics software and AI company that wants to help robots sense and learn, thereby making them more adaptable to different environments. "The surprisingly manual and bespoke process of teaching robots how to do things, which hasn't changed much over the last few decades, is currently a cap on their potential to help more businesses," Wendy Tan-White, Intrinsic's CEO, wrote in a blog post. "Specialist programmers can spend hundreds of hours hard coding robots to perform specific jobs, like welding two pieces of metal, or gluing together an electronics case. And many dexterous and delicate tasks, like inserting plugs or moving cords, remain unfeasible for robots because they lack the sensors or software needed to understand their physical surroundings."