Image recognition is one of the primary applications of machine learning algorithms. Nevertheless, machine learning models used in modern image recognition systems consist of millions of parameters that usually require significant computational time to be adjusted. Moreover, adjustment of model hyperparameters leads to additional overhead. Because of this, new developments in machine learning models and hyperparameter optimization techniques are required. This paper presents a quantum-inspired hyperparameter optimization technique and a hybrid quantum-classical machine learning model for supervised learning. We benchmark our hyperparameter optimization method over standard black-box objective functions and observe performance improvements in the form of reduced expected run times and fitness in response to the growth in the size of the search space. We test our approaches in a car image classification task and demonstrate a full-scale implementation of the hybrid quantum ResNet model with the tensor train hyperparameter optimization. Our tests show a qualitative and quantitative advantage over the corresponding standard classical tabular grid search approach used with a deep neural network ResNet34. A classification accuracy of 0.97 was obtained by the hybrid model after 18 iterations, whereas the classical model achieved an accuracy of 0.92 after 75 iterations.

FANUC America, a leading supplier of CNCs, robotics and ROBOMACHINEs, announces a West Campus expansion that will push its operational space in Oakland County, Michigan to nearly two million square feet. The construction will include a 655,000 square foot state-of-the-art facility to house manufacturing, engineering and R&D projects. This investment in Michigan's growing manufacturing area includes the purchase of 67 acres of land as well as the site of the former Thomas M. Cooley Law School Campus, which will provide future growth in the education of the next generation of robotics and automation workers. Including the existing building, FANUC will add a total of 788,000 square feet of additional operational floor space. "We're excited to announce the addition of the new West Campus and our ability to continue to expand in Oakland County, Michigan," said FANUC America's President and CEO Mike Cicco.

Altair Engineering Inc. is an American multinational information technology company headquartered in Troy, Michigan. It provides software and cloud solutions for simulation, IoT, high performance computing (HPC), data analytics, and artificial intelligence (AI). Altair Engineering is the creator of the HyperWorks CAE software product, among numerous other software packages and suites. The company was founded in 1985 and went public in 2017.

This summary highlights selected information about us and this offering appearing in this prospectus supplement, the accompanying prospectus and the documents incorporated or deemed incorporated by reference herein and therein. This summary may not contain all of the information that you should consider before making an investment decision. You should read carefully the more detailed information included or referred to under the heading "Risk Factors" of this prospectus supplement and the other information included in this prospectus supplement, the accompanying prospectus, the documents incorporated or deemed incorporated by reference herein and therein, including our Annual Report on Form 10-K for the year ended February 28, 2021, before deciding to invest in our common stock. Artificial Intelligence Technology Solutions Inc. or AITX is a Nevada corporation that, through its three subsidiaries, focuses on applying advanced artificial intelligence (AI)-driven technologies, paired with multi-use hardware and supported by custom software and cloud services, to intelligently automate and integrate a variety of high-frequency security, concierge, and operational tasks. As of December 28, 2021, RAD I, AITX's primary operating subsidiary, has 205 units deployed and approximately 50 units on backorder.

Waymo, Alphabet's self-driving car company (formerly under Google), has been using modified vans for years to privately test its autonomous tech. In late 2016, Waymo announced that its first production car would be a modified Chrysler Pacifica. Now the company is looking to buy a few more minivans - 62,000, to be exact. Alphabet announced today that it struck a deal with Chrysler to buy 62,000 additional Pacifica hybrid vans for Waymo, increasing the company's number of vehicles by 100 times. Waymo is already testing a small fleet of completely autonomous taxis in Arizona.

Engineers from a company that specialises in tearing down technology to see how it works have issued damning comments about Tesla's latest electric vehicle. Tesla took the wraps off its long-awaited Model 3 in January debuting it to customers in the US, but experts say they can't imagine how the car was ever released. Problems identified with the newly released machine include issues with the its fit and finish, ranging from gaps in its panels to flaws with its door handles. Engineers from a company that specialises in tearing down technology to see how it works have issued damning comments about Tesla's latest electric vehicle. The firm behind the assessment, Munro and Associates, is known for dismantling everything from aircraft to household appliances to see how well they function.

FILE - This Tuesday, May 6, 2014, file photo shows a sign outside Fiat Chrysler Automobiles world headquarters in Auburn Hills, Mich. Fiat Chrysler and Google said Tuesday, April 25, 2017, for the first time will offer rides to the public in the self-driving automobiles they are building under an expanding partnership.

ABB has sold its first robot manufactured in the United States. The IRB 2600 robot is the first to be produced at the ABB Auburn Hills, Michigan, facility, and was sold by ABB Value Provider, CIM SYSTEMS, INC. to Hitachi Powdered Metals USA.

THE V12 engine found in the Aston Martin DB9 is notable not just for its brawn--it produces 450 horsepower--but also for its brain. It detects cylinder misfires using an artificial neural network, a system modelled on the interconnected neurons of a simple brain. This year Ford, which owns the Aston Martin brand, introduced the same technology into a second vehicle, the Econoline van, and plans to include it in all Aston Martin cars in future. Other carmakers are following suit: DaimlerChrysler is interested in using neural networks to handle the complexities of variable valve timing in order to make next-generation engines more fuel-efficient. General Motors has been working with Axeon, a British firm that makes neural-network chips, to improve engine performance. And Audi is also rumoured to be working with Axeon.

From advanced driver assistance systems and security solutions to concepts for cleaner drives and holistic connectivity, the list of pioneering products from Continental is expanding as the automotive industry continues its rapid shift towards software and mobility services. To demonstrate its interpretation of the digitalization of the automotive world, the international technology company will be showcasing a collection of products and services at CES 2017 on January 5 - 8 in Las Vegas. "The entire automotive industry is undergoing a revolution and we at Continental are playing an active role in shaping it. On the basis of our solid expertise in systems integration and our years of experience in the field of vehicle connectivity, we are constantly adapting our products in line with the latest market trends," said Helmut Matschi, member of the Executive Board at Continental and head of the Interior Division. "For example, we are developing the building blocks of new mobility solutions for our customers and helping to shape the mobility of tomorrow together. At the CES, we will be showcasing the very latest solutions that will take us into the future."