Of all the ways IoT (Internet of Things) technologies promise to change lives and businesses in the next century, the idea that any and all machines could obtain human-esque intelligence through AI (artificial intelligence) is among the most exciting. No longer the realm of science fiction, AI powers many everyday processes and increasingly common devices and services--from Netflix's personalized content recommendations to smart speakers with voice-activated personal assistants. In 2019, innovative minds and companies will continue to push the envelope, enabling new and/or more advanced applications of AI in business and consumer realms. Drust, a French automotive-technology company founded in 2014, is one example of how a group of innovators can help drive AI-enabled solutions forward--pun intended. Drust designs, develops, and markets software and AI solutions that aim to enhance the value of data from connected vehicles.
Smart appliances are categorized into three main segments i.e.: Smart appliance products have more than a decade lifespan are connected with internet, handheld devices, and data in a larger & open ecosystem. Consumers want to operate or control those appliances with smartphone or tablet or PC devices. In reality, they don't want to check weather or photo slider on a fixed tablet size display in kitchen or living room. They expect flexibility to control their appliances that need to be done through intelligent applications. Therefore it is important to have a design to offer smart appliance experience not just connectivity experience or putting screen everywhere.
We all know that'AI is the new black', but how true is it in the Swedish thriving app scene? AI (Artificial Intelligence) technology is taking the world by storm. Over the last two months, Spotify has acquired two AI-based startups with the aim to improve their content recommendations. From Microsoft to Ikea to Tesla, tech and non-tech companies are looking at AI similarly to how the world looked at the Internet during the 90's: in awe and wonder. The era of AI has come, and it is here to stay.
EPFL and Nissan researchers are able to read a driver's brain signals and send them to a smart vehicle so that it can anticipate the driver's moves and facilitate the driving process. Nissan recently unveiled this brain-to-vehicle (B2V) technology. Future cars will be both self-driving and manual. "We wanted to harness technology to enhance drivers' skills without interfering with the enjoyment of being behind the wheel," explains José del R. Millán, who holds the Defitech Foundation Chair in Brain-Machine Interface (CNBI). As part of a joint project with Nissan researchers based at the CNBI, the team managed to read the brain signals that indicate a driver is about to do something – such as accelerate, brake or change lanes – in order to send that information to the vehicle.