Quantum Computing has been a hot topic this year. Countries around the world are investing billions into quantum computing research. Mainly, it's because it has applications in artificial intelligence. Security and the search for unbreakable encryption in AI-enabled applications that house personal, business, and government data are prompting the investment into this new research area. At the same time, Quantum Computing also has the potential to allow AI to optimize its processing to such a degree that complex calculations needed to achieve artificial general intelligence can be carried out in record time.

Bosch has debuted the Virtual Visor -- a reimagined sun visor aimed at tackling the flaws of traditional sun visors. The company revealed the new technology at the Consumer Electronics Show in Las Vegas. The company argues that the traditional sun visors equipped in current cars do not handle safety issues that come with driving in bright sunlight. Bosch cites one study with findings that show car crash incidents increase while driving in bright sunlight. To combat this issue, Bosch has created a concept Virtual Visor, which is a clear LCD panel with a camera that faces the driver.

Artificial Intelligence (AI) is probably one of the branches of Computer Science that is experiencing more growth nowadays. Even though it was born more than 70 years ago, it is in a historical period where it has generated more interest because of the revolution it has caused on the market today. Until very recently, there were limited computational capacities that made Artificial Intelligence produce very poor results on the problem being applied, which resulted in several periods of historical dissatisfaction in the industry and considerable reduction in both interests. In this case, discipline on the number of dedicated researchers. However, in recent years Artificial Intelligence has gained enormous momentum, able to solve problems with computers that were previously thought to be impossible, reaching levels that had never been reached before.

This week, Appian announced the first acquisition in its 20-year history. It was for a startup based in Spain called Jidoka. The company is the developer of an RPA (Robotic Process Automation) platform, which is ranked No. 1 by Gartner Peer Insights. Appian is a leader in the BPM (Business Process Management) and low-code markets. This technology's allows for quick development of enterprise-grade applications, which has been key for digital transformation.

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Engineers from Duke University and the Institut de Physique de Nice in France have developed a new method to identify objects using microwaves that improves accuracy while reducing the associated computing time and power requirements. The system could provide a boost to object identification and speed in fields where both are critical, such as autonomous vehicles, security screening and motion sensing. It also jointly determines optimal hardware settings that reveal the most important data while simultaneously discovering what the most important data actually is. In a proof-of-principle study, the setup correctly identified a set of 3-D numbers using tens of measurements instead of the hundreds or thousands typically required. The results appear online on December 6 in the journal Advanced Science and are a collaboration between David R. Smith, the James B. Duke Distinguished Professor of Electrical and Computer Engineering at Duke, and Roarke Horstmeyer, assistant professor of biomedical engineering at Duke. "Object identification schemes typically take measurements and go to all this trouble to make an image for people to look at and appreciate," said Horstmeyer. "But that's inefficient because the computer doesn't need to'look' at an image at all." "This approach circumvents that step and allows the program to capture details that an image-forming process might miss while ignoring other details of the scene that it doesn't need," added Aaron Diebold, a research assistant in Smith's lab.

As seen at this week's CES 2020 mega conference, the buzz for AI continues to be intense. So what were some of the stand out announcement at CES? Well, given that there were over 4,500 exhibitors, this is a tough question to answer. Prosthetics: Using AI along with EMG technology, BrainCo has built a prosthetic arm that learns. In fact, it can allow for people to play a piano or even do calligraphy. "This is an electronic device that allows you to control the movements of an artificial arm with the power of thought alone," said Max Babych, who is the CEO of SpdLoad.

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Artificial intelligence is already revolutionizing industry, like it or not. Wall Street occasionally seizes upon futuristic themes with religious fervor, bidding up shares in companies that supposedly lead in one space or another. AI once occupied that "fascinating-but-far-off" thematic market sector, but the best artificial intelligence stocks to buy today use techniques like machine learning and neural networks routinely as a core function of their business. That said, this is just the early innings, and the area's profit potential is hard to overstate. Here are 10 AI companies betting big on artificial intelligence.

As median home prices continue to surge, buyers are taking a second look at alternative housing options, including modular and pre-manufactured homes. Unlike options from the past, today's prefab homes are stylish and technology driven. One of the newest options in this $19.3 billion industry comes from Singapore-based startup Nestron that offers four, prefab options that include a built-in artificial intelligence assistant named Canny that controls lighting, heating, and security. Ranging from $19,000 for the baseline Legend model to $59,000 for the top-of-the-line Cube model, Nestron is hoping to attract aspiring homeowners who want high style without breaking the bank. Nestron's basic and upgraded models.