BMW unveiled a concept for the interior of driverless cars on Wednesday at a press conference in Las Vegas at CES. The concept, dubbed the BMWi Inside Future, showcases how BMW envisions its autonomous vehicles may look when they start to hit the market. The interior concept is centered on connectivity and includes a panoramic display that can be operated just like a touchscreen — except physical contact isn’t necessary.
Over the last several decades, the digital revolution has changed nearly every aspect of our lives. The pace of progress in computers has been accelerating, and today, computers and networks are in nearly every industry and home across the world.
A few months ago The Washington Post reported that Facebook collects 98 data points on each of its nearly 2 billion users. Among this 98 are ethnicity, income, net worth, home value, if you are a mother, if you are a soccer mom, if you are married, the number of lines of credit you have, if you are interested in Ramadan, when you bought your car, and on and on and on.
As our desktop computers, laptops, mobile devices, etc. stand idly by for a huge portion of the day, the need for computing resources is growing at a fast pace. Large IoT ecosystems, machine learning and deep learning algorithms and other sophisticated solutions being deployed in every domain and industry are raising the demand for stronger cloud servers and more bandwidth to address the minute needs of enterprises and businesses.
Scientists at the Pharmaceutical Artificial Intelligence (pharma.AI) group of Insilico Medicine, Inc, today announced the publication of a seminal paper demonstrating the application of generative adversarial autoencoders (AAEs) to generating new molecular fingerprints on demand.
Large platform companies like Amazon, Apple, Google, Samsung, and Microsoft want to provide the operating system for our lives, and they will fight hard in 2017 to establish their foothold in the emerging technologies we will likely come to rely on in the future. Who will succeed?
A team of international researchers recently unveiled a nano array that can identify the chemical signatures of 17 different diseases, possibly bringing us closer to the day when doctors might be able to use a medical tricorder a la Star Trek to instantly diagnose a patient’s conditions.
The fashion industry – from your department store to your luxury boutique – is undergoing significant change at the hands of the digital revolution. That’s not new in concept. Neither, mind you, is talking about things like artificial intelligence, virtual reality or blockchain as emerging technologies.
There was the voice recognition software that struggled to understand women, the crime prediction algorithm that targeted black neighbourhoods and the online ad platform which was more likely to show men highly paid executive jobs.
Most robotic arm systems required a very complex and very invasive brain implant… until now. Researchers at the University of Minnesota have created a new system that requires only a sexy helmet and a bit of thinking, paving the way to truly mind-controlled robotic tools.
The answer is, quite frankly, yes. Machine learning is currently used in some ways, including solving social issues. Algorithms have been designed that use is predicting what movie you will enjoy watching, or what you might like to buy from a particular retailer. But now, things need to be stepped up a notch before we are ready to solve the world’s social issues by using machine learning.
The Milan-London startup connection is getting stronger. After MoneyFarm and Soundreef, yet another promising Italian startup, Euklid, is opening up shop in the UK capital, moving its headquarters to be part of the city’s vibrant ecosystem.