The IVA solution leverages Interactions' Adaptive Understanding technology, which provides a blend of Artificial Intelligence (AI) and real-time …

The average time-frame of tech disruption in our lives has significantly diminished and things are changing at a rapid scale. In a span of few years, gadgets such as MP3 players, compact digital cameras, scanners, CDs, fax machines and several others have more or less disappeared. On the other hand, new-age technologies like Artificial Intelligence (AI) and Machine Learning (ML), data analytics, Internet of Things (IoT), content streaming, automation, robotics and 5G have been growing in leaps and bounds to make our lives better. Let's take a look at five tech trends that are expected to explode in the decade that has just begun. Imagine a chip that can perform target computation in 200 seconds, which would otherwise take the world's fastest supercomputer 10,000 years.

I watch most TV shows and movies on my iPad these days, and something strange happened recently. My iPad – or rather apps such as Hulu and Bravo linked via Apple TV on my iPad – started showing me commercials in Spanish. That was interesting, since I hadn't touched the language settings, watched any shows in Spanish, or done any kind of internet activity in another language. But even more curious, was what had changed when the new commercials popped up. We had just moved to a more Spanish-speaking area of Oakland, California.

The ImageNet Large Scale Visual Recognition Challenge (ILSVRC) evaluates algorithms for object detection and image classification at large scale. This is was the benchmark that is used to date to evaluate the performance of the classification model. It also provided the Data to train big models. Apple acquired Siri for an amount reportedly in the vicinity of $200 million. The company immediately started working out how to bake Siri into the iPhone. And Jobs got hands-on about making the AI assistant user-friendly.

Google is working towards its best digital assistant that is capable of having a conversation based Artificial Intelligence (AI) model known as Meena. Meena, a neural network that has 2.6 billion parameters, is a multi-turn open-domain chatbot and claimed to be better than any other AI chatbot available in the market. Conversational AI is a comprehensive term used to natural language models for AI that understand human language, speak and completes tasks given in simple words. However, talking and carrying a Conversation are both different tasks as AI assistants like Alexa, Siri, Google doesn't really chat -- they just complete tasks and answers factual questions. Holding a human-like conversation is still very much impossible for the smart assistants available today.

The reason: Capital One's AI, which it launched in March of 2017, is heavy on machine learning, enabling the chatbot to identify problems customers …

The two that have struck me the most are from Google and Amazon, each taking a different tack to sell you on their respective intelligent assistants. Amazon got Ellen DeGeneres and Portia de Rossi leading off the joke about what life was like before Alexa, then people asking other people throughout history things they'd normally ask Alexa. I was with it until there was a joke about refusing to erase the Nixon tapes which maybe was a little too on the nose given this past year's voice-recording scandals. In any case, the motive is clear: make Alexa seem like an integral part of our lives now, like electricity or running water. But do that in a way that makes it seem lighthearted and fun, not oppressive.

A study at Canada's University of Alberta found some virtual assistants are far better than others at providing users reliable, relevant information on medical emergencies. Researchers at the University of Alberta in Canada have found that virtual assistants do not live up to their potential in terms of providing users with reliable, relevant information on medical emergencies. The team tested four commonly used devices--Alexa, Google Home, Siri, and Cortana--using 123 questions about 39 first aid topics, including heart attacks, poisoning, nosebleeds, and splinters. The devices' responses were measured for accuracy of topic recognition, detection of the severity of the emergency, complexity of language used, and how closely the advice given fit with accepted first aid treatment and guidelines. Google Home performed the best, recognizing topics with 98% accuracy and providing relevant advice 56% of the time.

Artificial intelligence (AI) and Machine Learning (ML) are trendy expressions that almost everybody has heard nowadays. However, even individuals who aren't acquainted with them experience these technologies consistently. Research shows that 77% of the devices that we now use have AI incorporated with them. From a flock of "smart" gadgets to Netflix proposals to products like Amazon's Alexa and Google Home, AI is the power behind numerous cutting-edge innovative solaces that are currently now part of our everyday lives. With the surge in demand and interest in these technologies, numerous new patterns are rising in this space.

Apple's efforts towards AI have always been focused on Siri and its advancements. But lately, people have noticed that Apple is rather quiet about any future products or services as there was no mention from Apple about AI or Machine Learning at WWDC 2019. Is the company focusing on AI as much as it was previously? And are we going to see any more AI technology launched in the coming years? These are the questions many analysts and Apple lovers are pondering on these days.