AI techniques are being applied by researchers aiming to extend the life and monitor the health of batteries, with the aim of powering the next generation of electric vehicles and consumer electronics. Researchers at Cambridge and Newcastle Universities have designed a machine learning method that can predict battery health with ten times the accuracy of the current industry standard, according to an account in ScienceDaily. The promise is to develop safer and more reliable batteries. In a new way to monitor batteries, the researchers sent electrical pulses into them and monitored the response. The measurements were then processed by a machine learning algorithm to enable a prediction of the battery's health and useful life.
According to Gartner, by 2020, a quarter billion connected vehicles will form a major element of the Internet of Things. Connected vehicles are projected to generate 25GB of data per hour, which can be analyzed to provide real-time monitoring and apps, and will lead to new concepts of mobility and vehicle usage. Uber Technologies Inc is a peer-to-peer ride sharing platform. Uber platform connects the cab drivers who can drive to the customer location. Uber uses machine learning, from calculating pricing to finding the optimal positioning of cars to maximize profits.
Most people surveyed about autonomous are comfortable with the technology and yet billions continue ... [ ] to be invested in the technology. In a recent survey by Myplanet of various technologies, "autonomous driving" came in as the most uncomfortable of the thirty-five technologies at 66.8% of the Americans surveyed. To put that in perspective, one of the technologies near the middle of the pack was "surgical robot" at 42% negative, which translates into "I'd rather your'bot cuts me open than have it drive me to the corner store." As summarized well by Jason Cottrell, Myplanet CEO, "Customers have made up their minds about autonomous driving and it's skewed heavily to the negative." Other studies, in fact, corroborate that level of fear (e.g.
The advent of the pandemic has resulted in the virtualization of many jobs, perhaps permanently. The associated increased quantification of the workplace will enable the accelerated adoption of AI. As our private and professional lives inevitably blur as we work more from home, we need ethical rules more than ever about how companies can use employee-generated data and deploy AI in the workplace. One lasting change from COVID-19 is likely to be that we all will be working from home (or anywhere) more often. Many companies have announced they will allow work from home as a permanent policy.
Micro-Measurements, a Vishay Precision Group, Inc. brand, announced the successful integration of Advanced Sensors Technology in its new CEA-Series and EA-Series strain gages. Designed for general purpose, static and dynamic stress analysis, the new CEA and EA strain gage sensors are ideally suited for a broad range of applications including structural health monitoring, autonomous vehicles, aviation, robotics & automation, smart load cells, and condition monitoring. The new Micro-Measurements' CEA-Series universal strain gages builds on approximately 70 years of proven usage and the installation of hundreds of thousands of field-tested devices. Offering a constantan grid completely encapsulated in polyimide, with large, rugged copper-coated tabs, these CEA's provide for ease of application, reduced installation time, high reliability, low total cost of installation. Constructed with constantan foil in combination with a tough, flexible, polyimide backing, the EA-series is available in a wide range of options available including strain range from 3% for gage lengths under 1/8 in (3.2 mm) and 5% for 1/8 in and over.
Trailblazing information systems professor, Siobahn Day Grady, Ph.D., is a Black tech unicorn you should know about. Not only is she the first woman to receive a doctorate degree in the field of computer science -- according to North Carolina Central University -- from North Carolina A&T State University in 2018, but she also recently received a $190,000 grant to conduct research to improve self-driving cars. Grady received the grant from the National Science Foundation's Historically Black Colleges and Excellence in Research program and plans to use the funds to research and identify issues with self-driving cars. "This research is very timely and relevant; it's the future," Grady said, according to North Carolina Central University. "I'm excited to contribute to the field as well as provide research opportunities to students."
Digital generated image of data. Lemonade is one of this year's hottest IPOs and a key reason for this is the company's heavy investments in AI (Artificial Intelligence). The company has used this technology to develop bots to handle the purchase of policies and the managing of claims. Then how does a company like this create AI models? Well, as should be no surprise, it is complex and susceptible to failure.
It's not an exaggeration to say that when it comes to the future of human progress, nothing is more important than Artificial Intelligence (AI). Although often thought to only be associated with everyday entities such as self-driving cars and Google search rankings, AI is in fact the driving force behind virtually every major and minor technology that's bringing people together and solving humanity's problems. You'd be hard-pressed to find an industry that hasn't embraced AI in some shape or form, and our reliance on this field is only going to grow in the coming years--as microchips become more powerful and quantum computing begins to be more accessible. So it should go without saying that if you're truly interested in staying ahead of the curve in an AI-driven world, you're going to have to have at least a baseline understanding of the methodologies, programming languages, and platforms that are used by AI professionals around the world. This can be an understandably intimidating reality for anyone who doesn't already have years of experience in tech or programming, but the good news is that you can master the basics and even some of the more advanced elements of AI and all of its various implications without spending an obscene amount of time or money on a traditional education.