Lifeboat Foundation

A truck fleet accident costs an average of $16,500 in damages and $57,500 in injury-related costs for a total of $74,000. “This does not include a broad range of ‘hidden’ costs, including reduced vehicle value (typically anywhere from $500 to $2,000), higher insurance premium, legal fees, driver turnover (the average driver replacement cost = $8,200), lost employee time, lost vehicle-use time, administrative burden, reduced employee morale and bad publicity,” said Yoav Banin, chief product officer at Nauto, which provides artificial intelligence driver and fleet performance solutions.

Emphasis on truck driving safety is well placed, considering other challenges that the trucking industry is facing.

Ranking first is a chronic shortage of truck drivers nationwide that could force fleet operators to hire less-experienced drivers who require operator and safety training. Driver compensation and truck parking ranked second and third, but immediately behind them in fourth and fifth position were driver truck fleet safety and insurance availability, which depends on safe driving records.

While reading or listening about the future of the world and its technology, you might have heard the term Artificial Intelligence. It surely is the future of technology and applications in the near future, major tech companies have been working on developing better versions of AI and are expecting it to revolutionize technology.

With many companies heavily investing towards Artificial Intelligence, Social giant ‘Facebook’ is not far behind in this race towards the rising industry. Facebook a few years ago took it’s step into the world of AI and is now making big moves by creating AI based products and slowly capturing a large market share in this industry.

AI based developments in Facebook have increased since the company increased its workforce in the AI sector. Recent news suggests that developers at Facebook are working towards another interesting AI program, this one will be able to see, hear and memorize everything users do. Facebook said that it wants the AI to have things such as episodic memory which means that the AI would be able to remember even small details such as where you kept your car keys. Surprising isn’t it?

Tesla (NASDAQ: TSLA) shareholders voted overwhelmingly to retain Kimbal Musk, brother of CEO Elon Musk, and James Murdoch on Tesla’s Board of Directors, according to an 8-K filing with the SEC that revealed the number of votes to re-elect the two to the company’s Board for three more years.

On October 13th, Tesla filed an 8-K form with the SEC that revealed the number of votes that supported or were against the re-election of both Kimbal Musk and James Murdoch to the Tesla Board. The number of votes for other proposals was also revealed. However, prior to the company’s 2021 Shareholder Meeting on October 7th, proxy advisory firm Institutional Shareholder Services, or ISS, urged Tesla investors to oust both Musk and Murdoch from the Board. Their reasoning was based on the belief that the two non-executive board members did not present any advantages to the automaker’s governance.

“Votes AGAINST directors James Murdoch and Kimbal Musk are warranted due to concerns regarding excessive compensation to named executive officers and to non-executive directors,” ISS wrote in a note to investors. The firm was adamant that Kimbal’s payout package was not necessarily logical for the company as he did not serve on any board committees. Additionally, ISS felt that Murdoch’s presence on the Tesla Board of Directors also was not justified due to his service on Audit and Governance Committees. The Audit Committee pledged a large sum of company stock to directors, which raised questions regarding its risk oversight. The Governance Committee failed to react appropriately to last year’s Shareholder proposal, which was supported by the majority of voters.

Why Tesla has grabbed the lead, like Apple. Both will soon be “silicon on wheels.”

How much does Tesla spend on a per car basis on innovation and marketing, compared to more traditional automakers?

Using AI to analyze your income and expenses regularly is a great way to help you better understand where your money goes each month. Most modern financial institutions have apps that will automatically categorize your spending into expense types, making it easy for you to see how much of your paycheck ends up going toward rent/mortgage, food, transportation, entertainment, etc.

Technology is empowering women to build wealth through AI-assisted financial management. Women are now able to invest and manage their finances by using technology that automatically invests and manages money for them. This software provides a unique algorithm for each woman with personalized goals, risk tolerance, income, and age.

Full Story:

Continue reading “Can Artificial Intelligence Help To Close The Financial Equality Gap For Women?” »

Going from zero to full charge in 30 minutes.

Flying taxi firm Lilium and Swedish/Swiss tech multinational ABB announced a collaboration that will see them develop a superfast charging system for eVTOL aircraft that will allow them to increase the amount of time their machines spend in the skies transporting passengers, a press statement reveals.

Continue reading “Flying Taxis Got a Major Boost From a New Ultrafast Charging System” »

Even in-13°F. Riding a motorbike feels almost as free as it could get when you’re on the road, and some say it can be addictive. While you can ride your bike almost anywhere, when you’re up at a mountain or under heavy snowfall, things are bound to get slippery. But a new, all-electric snowbike developed by Moonbikes, a French startup, can change that. Nicolas Muron, an aeronautical engineer, basically took the bus parts of an electric bike, the tracks, and skimboards of a snowmobile, and invented a hybrid between both vehicles using his state-of-the-art engineering know-how. The Moonbike is a simple way to get around in a snowy setting, and for easy mobility on snow, it has a rear track drive and a front skiboard instead of wheels. Full Story:

VanMoof has just announced a new high-speed electric bicycle model known as the VanMoof V, which will reach speeds of up to 31 mph (50 km/h). The company is referring to it as a “hyperbike,” which makes sense considering it is faster than just about any other e-bike available in the US or Europe.

VanMoof is largely known as an elegant, tech-forward electric bicycle brand. The Dutch company’s sleek, classy-looking e-bikes are heavy on the tech side but don’t attempt to win any awards on performance.

That makes today’s announcement of a high-speed electric bicycle all the more suprising.

The University of Bristol is part of an international consortium of 13 universities in partnership with Facebook AI, that collaborated to advance egocentric perception. As a result of this initiative, we have built the world’s largest egocentric dataset using off-the-shelf, head-mounted cameras.

Progress in the fields of artificial intelligence (AI) and augmented reality (AR) requires learning from the same data humans process to perceive the world. Our eyes allow us to explore places, understand people, manipulate objects and enjoy activities—from the mundane act of opening a door to the exciting interaction of a game of football with friends.

Egocentric 4D Live Perception (Ego4D) is a massive-scale dataset that compiles 3,025 hours of footage from the wearable cameras of 855 participants in nine countries: UK, India, Japan, Singapore, KSA, Colombia, Rwanda, Italy, and the US. The data captures a wide range of activities from the ‘egocentric’ perspective—that is from the viewpoint of the person carrying out the activity. The University of Bristol is the only UK representative in this diverse and international effort, collecting 270 hours from 82 participants who captured footage of their chosen activities of daily living—such as practicing a musical instrument, gardening, grooming their pet, or assembling furniture.

Continue reading “World’s first massive egocentric dataset” »