Imagine it: you're on the bus or walking in the park, when you remember some important task has slipped your mind. You were meant to send an email, catch up on a meeting, or arrange to grab lunch with a friend. Without missing a beat, you simply say aloud what you've forgotten and the small device that's pinned to your chest, or resting on the bridge of your nose, sends the message, summarises the meeting, or pings your buddy a lunch invitation. The work has been taken care of, without you ever having to prod the screen of your smartphone. It's the sort of utopian convenience that a growing wave of tech companies are hoping to realise through artificial intelligence.

Angela Mitchell still remembers the night she nearly died. It was almost one year ago in July. Mitchell--who turns 60 this June--tested positive for covid-19 at her job as a pharmacy technician at the University of Illinois Hospital in Chicago. She was sneezing, coughing, and feeling dizzy. The hospital management offered her a choice.

Globally, the adoption of wearable artificial intelligence (AI) will be primarily driven by increasing concerns among consumers towards health and fitness. Rising prevalence of obesity and other cardiac illnesses around the world will boost the adoption of these devices. Wearable AI gadgets such as smartwatches and fitness bands are equipped with sensory hardware to monitor health-oriented vitals, including heart rate and blood pressure and can help improve early detection of diseases. Innovative advances in technology have resulted in continuous enhancements in the design and functionality of smart wearables. The availability of these devices at affordable prices will create a large consumer base for wearable gadgets in the coming years.

It wasn't long ago that personal computers were the height of technology. While significantly smaller than the industrial-sized mainframes of the past, modern desktop PCs are still bulky objects that take up a lot of space. Laptops and notebooks are considerably more portable, but even these are becoming a hassle for the on-the-go minimalist. If you're in that crowd, you might want to take a look at some of the latest in wearable technology. Smartwatches are quickly becoming the preferred option for those who want to enjoy the latest in IT without having to lug around a laptop computer.

A wearable AI that can predict whether the tone of the conversation is happy, sad or neutral can soon be realized to help fight social anxiety. The system will base its reading on the user's speech patterns and vital signs. Researchers from Computer Science and Artificial Intelligence Laboratory (CSAIL) of MIT and Insitute of Medical Engineering and Science (IMES) are a step closer in helping people with anxiety disorder or Asperger's condition. Tuka Alhanai, a graduate student and co-author of the study said that the wearable AI will be like a social coach in the user's pocket. Mohammad Ghassemi, together with Alhanai, will present the new technology in the Association for the Advancement of Artificial Intelligence (AAAI). The accuracy of the gadget is around 83 percent.

It's a fact of nature that a single conversation can be interpreted in very different ways. For people with anxiety or conditions like Asperger's, this can make social situations extremely stressful. But what if there was a more objective way to measure and understand our interactions? Researchers from MIT's Computer Science and Artificial Intelligence Laboratory (CSAIL) say that they've gotten closer to a potential solution: an artificially intelligent wearable system that can predict if a conversation is happy, sad or neutral based on a person's speech patterns and vitals. "Imagine if, at the end of a conversation, you could rewind it and see the moments when the people around you felt the most anxious," says graduate student Tuka Alhanai, who co-authored a related paper with PhD candidate Mohammad Ghassemi that they will present at next week's Association for the Advancement of Artificial Intelligence (AAAI) conference in San Francisco.

A single conversation can be interpreted in very different ways. For people with social anxiety or conditions like autism, this can make social situations extremely stressful. But a new device that can detect if a conversation is happy or sad based on speech patterns could make life easier for people who struggle in these situations. The Samsung Simband predicts if a conversation is happy or sad based on a person's speech patterns. Long pauses and monotonous vocal tones were associated with sadder stories.