Skip to main content

Driverless Car From Mercedes Blows Everyone Mind.

Last week, Mercedes Benz has unvieled its first futuristic, driverless concept car in San Francisco. The car named as F015 Luxury in Motion was first revealed to the public at the Consumer Electronics show in Las Vegas last September.
The car since has received a lots of attention from all around the world. Reddit user 'GoogleplexStar' posting the pic above, commenting, "This driverless Mercedes is cruising around San Francisco, blowing everyone's minds.". "It needed a break from Sunnyvale," the automaker wrote on Twitter, sharing photos of what looks like a roadster from Blade Runner.

The F015 is being called as “Virtual Living Room” with seating for up to 4 people with two sets of couches facing each other. This is best for after a hard day work from office to home. And, because its Mercedes, it comes trimmed in walnut veneer, nappa leather, polished aluminium and glass, with soft blue LED lighting,” says Jason Fell at Entrepreneur.
The study from researchers pf Sweden suggest that self-driving car will decrease instances of traffic jams and road congestion. The report, led by Pierre-Jean Rigole from the KTH Centre for Traffic Research, says that self-driving cars could replace 14 regular cars, so long as people were happy to car pool and allow an average of 15 percent extra commuting time. And on top of that, parking space requirements would drop by 80 percent.
Check the Video of F015 Luxury in Motion. 

Comments

Post a Comment

Popular posts from this blog

AI in Soap Manufacturing Industry

Machine learning (ML) has numerous potential applications in the soap manufacturing industry, contributing to process optimization, quality control, resource management, and more. Here are some examples: 1. Quality Control : ML algorithms can be trained to analyze images of soap bars to detect defects such as cracks, air bubbles, or inconsistent coloring. By automating the inspection process, manufacturers can ensure that only high-quality products reach the market, reducing waste and enhancing customer satisfaction. 2. Predictive Maintenance : ML models can analyze sensor data from manufacturing equipment to predict when maintenance is needed. By detecting potential issues before they cause equipment failure, manufacturers can minimize downtime and reduce repair costs. 3. Supply Chain Optimization : ML algorithms can analyze historical data on raw material prices, demand forecasts, and production schedules to optimize inventory management and procurement decisions. This helps minimize...
Post a Comment
Read more

Startup builds AI to automate accounting

Smacc , which uses AI to automate accounting, has secured a 3.5 million Series A round from Cherry Ventures, Rocket Internet, Dieter von Holtzbrinck Ventures, Grazia Equity and business angels. Smacc offers small and medium-sized enterprises a platform to digitize and automate accounting and financial processes. The founding trio Uli Erxleben, Janosch Novak and Stefan Korsch came up with the idea after find accounting to be the most painful part of their own startup. Erxleben managed Rocket Internet’s US ventures in New York and San Francisco, and is also the founder of Berliner Berg , a craft beer startup. Customers submit their receipts to Smacc, which are turned into a machine-readable format, encrypted, then allocated to an account. The platform gradually also self-learns, tracking invoices, sales and costs, as well as their liquidity. The system checks against some 64 data points, verifies the invoice, checking, for example, that the math adds up, and even if the VAT...
Post a Comment
Read more

Way better than X ray..

Medical techniques for looking inside our bodies have come a long way, but in the future it looks like doctors may be able to see absolutely everything going on under our skin. Researchers have invented a new kind of camera that can actually see through structures inside the human body, detecting light sources behind as much as 20 centimetres (7.9 inches) of bodily tissue. The current prototype, developed by researchers from the University of Edinburgh in the UK, is designed to work in conjunction with endoscopes – long, slender instruments that are often equipped with cameras, sensors and lights to peer inside hollow cavities inside the human body. Endoscopes are valuable tools for all sorts of medical procedures, but up until now it's been difficult to externally confirm exactly where in the body the instrument is looking, without resorting to things like X-ray scans. Now that's no longer a problem, due to the new camera's capability to detect sources of light inside ...
Post a Comment
Read more