In the Marvel movies, one of Tony Stark's greatest inventions is his AI assistant J.A.R.V.I.S, who is always on hand to offer some helpful or sarcastic advice. Ever since Iron Man hit the silver screen in 2008, nerds and the chronically disorganised alike have been dreaming of the day they could have a Jarvis of their own. Now that dream is a little closer to reality thanks to DS Automobiles' launch of an in-car AI assistant named Iris. While it might not come with a flying suit, Iris is the first attempt to integrate ChatGPT into a vehicle and claims to be the perfect driving companion. MailOnline got behind the wheel of the new AI-inspired automobile to give it a try.

Every evening last summer, after I'd shut down my work laptop, my 3-year-old daughter and I would approach our Google Home smart speaker and yell, "Hey Google, can you play'Aankh Marey' from the movie Simmba?" We'd hold our breaths and wait for a response. The digital assistant would then repeat the name of the Bolly wood song we'd requested in its default standard American accent. We'd rejoice and dance when the assistant played the right number, which happened about half the time. My daughter was going to a Bollywood dance class and we'd finally found a use for the device that my husband had won at a tech conference. Often, however, it would mishear our requests and play something else.

A recent study of 2,360 data science students, academics, and professionals by software firm Anaconda states that only 15% of institute and college professors said that they're teaching AI ethics, and just 18% of students specified that they're learning about the subject. We live in a world that is engulfed in data. This data is that which gives sustenance to Artificial Intelligence (AI). In the 21st century, AI has become an essential part of the technology industry. AI techniques have gone through a revival after simultaneous advances in computer power, data that were flooded in and its theoretical understanding.

Game designer and programmer Tyler Glaiel has created a clever new twist on the face mask for people frustrated by trying to communicate with their mouths covered during the COVID-19 pandemic. Glaiel's created a cloth face mask with a voice activated panel of LED lights on the front, which move whenever a person is speaking to simulate a mouth opening and closing. The array of 16 LED lights can also be used to make a smiling shape if the person wearing them makes a clicking noise with their tongue. 'I had a random idea for it,' Glaiel said in an interview with the BBC about the origins of the project. 'I was wondering if it existed, to have a face mask that just lighted up with mouth shapes and so I looked around online to see if there was anything I could feasibly buy to do this and there really wasn't anything there.'

They wanted to try so-called walk-by attacks, whereby if you could get close enough to the voice recognition system, you could try to feed it the inaudible commands. Types of commands they used for the experiment included: "Call 1234567890," "FaceTime 1234567890," "Open dolphinattack.com," These are commands that would produce untoward actions that the person owning the voice recognition system would likely not want to happen. The devices attacked included iPhones, iPads, MacBooks, Windows PC's, Amazon Echo, etc.

Only early adopter corporate executives with a better than average understanding of the AI/ML cognitive processes have whole heartedly embraced AI/ML implementation across the enterprise. The majority of the rest of corporate executives are evaluating AI/ML in baby steps measuring risk vs. return. Following those executives and measuring AI/ML concerns and prospective adoption are top data analyst organizations like Deloitte, McKinsey, PricewaterhouseCoopers (PWC), Forrester and IDC. Surveys have shown that during early stages of AI/ML development, there was a rush to implement across the whole enterprise. Recently, adoption has slowed with executives beginning AI/ML pilots in predictable successful segments of their operations.

A link has been posted to your Facebook feed. Can you fix voice recognition in new cars? After years of designing their own often-faulty voice recognition systems, auto companies are handing the reins over to tech giants that have already developed the technology for their devices. The trend is on full display at the 2019 Detroit auto show, where automakers are showcasing new vehicles with increasingly common systems that allow drivers to plug in their phones and bypass built-in infotainment systems. Using spoken commands to tune the radio, make a call or get directions has required patience, awkward pronunciation and frequent do-overs ever since it became possible in some vehicles earlier this century.

These days we would hardly find any enterprise which is not utilizing the power of Machine Learning (ML) or Artificial Intelligence (AI). Every business has now got activities driven by AI to revolve around. Day by day organizations are becoming dependent and automating tasks for efficient results and high accuracy. AI achieves this accuracy with the help of deep learning algorithms. For instance, you can have a look at the interactions we do with Alexa or Google search.

By 2020, approximately 20.4 billion devices are estimated to be connected to the internet. These IoT devices are getting smarter, connecting to intelligent applications, such as Amazon's Alexa or Apple's Siri, and helping consumers make transactions and complete tasks. However, they are also sparking conversational AI, and it stands to change customer service. Conversational AI consists of an advanced technology that uses natural language processing (NLP) so that computers can comprehend human language. Conversational AI includes a variety of technologies, such as chatbots, advanced notifications and personal assistants. Conversational AI is not without its challenges.

With the wave of personal assistants, such as Siri, Cortana and Google Assistant, and new start-ups leveraging artificial intelligence (AI) and analytics to build personal companions, it's becoming clear we are moving toward a new voice-controlled relationship with technology. As we have already seen in the consumer market, it is all but a given that these voice-activation systems will eventually make it into the enterprise environment, as the potential benefits of these systems could be tremendous in simplifying and automating activities. Here, Craig Walker, director Cloud Services at Alcatel-Lucent Enterprise, explains that, although it may be a long time before we see the full likenesses of "HAL" from "2001: A Space Odyssey", the technology is already here that can improve the ways businesses operate. Think how much easier it would be for a physician to just say "System: update Mary Smith's chart with the following: "Patient experiencing abdominal pain, issue pharmacy order for 200MG of'SuperAntiGas', signed Dr. FeelBetter." Or in a conference room, instead of the struggle to figure out which remote control puts on the projector and the screen, a simple voice request "System: turn on projector, turn on TV and dim lights."