Autonomous vehicle startup Cruise has partnered with Walmart to deliver orders from a Scottsdale, AZ, Walmart store to local customers' homes, starting early next year. General Motors-backed autonomous vehicle startup Cruise has announced a partnership with Walmart to deliver orders from a Scottsdale, AZ, Walmart store to local customers' homes, starting early next year. Customers will be able to place orders to the store and have them delivered in one of Cruise's electric self-driving Chevy Bolts. If the pilot goes well, a Cruise spokesperson said, the company will mull launching on-demand delivery with other retailers in the future. Walmart has forged driverless vehicle delivery partnerships with other automakers and startups.
The incoming Biden administration is expected to increase regulatory oversight of electric and self-driving cars and trucks. FreightWaves spoke to a few investors and analysts in the mobility and freight tech space, as well as the CEOs of a couple of autonomous trucking and delivery companies, about what they expect from a Biden presidency. Electric vehicle uptake in the United States has been tied to strong pollution reduction mandates and purchasing incentives found in Europe and Asia, said Reilly Brennan, partner, TrucksVC. "A Biden administration likely moves some of our policies closer to what we see in other parts of the world," he said. Among the incentives Brennan sees coming down the pike is an "EV for clunkers" scheme as soon as next year, promoting and supporting people who turn in their vehicles for zero-emissions cars and trucks.
Overall, people across the globe trust the safety of autonomous vehicles more than they did three years ago, even though progress has been a lot slower recently. While the technology could steadily win supporters in South Korea and Japan, acceptance fluctuated in the U.S. and Europe, likely due to reports about deadly accidents involving autonomous vehicles by Tesla and Uber.
Investment and interest in AI is expected to increase in the long run since major AI use cases (e.g. These use cases are likely to materialize since improvements are expected in the 3 building blocks of AI: availability of more data, better algorithms and computing. Short term changes are hard to predict and we could experience another AI winter however, it would likely be short-lived. According to AI Index, the number of active AI startups in the U.S. increased 113% from 2015 to 2018. Thanks to recent advances in deep-learning, AI is already powering search engines, online translators, virtual assistants and numerous marketing and sales decisions. The Google Trends graph below shows the number of queries including the term "artificial intelligence".
Enterprise AI companies are increasingly growing in value and relevance. Global IT spending is expected to soon reach, and surpass $3.8 trillion. Enterprise AI companies are at the heart of this growth. This article will explain not only what enterprise AI companies are but also what they produce. We'll also look at how enterprise AI companies are impacting in various fields such as finance, logistics, and healthcare. Enterprise AI companies produce enterprise software. This is also known as enterprise application software or EAS for short. Generally, EAS is a large-scale software developed with the aim of supporting or solving organization-wide problems. Software developed by enterprise AI companies can perform a number of different roles. Its function varies depending on the task and sector it is designed for. In other words, EAS is software that "takes care of a majority of tasks and problems inherent to the enterprise, then it can be defined as enterprise software". Lots of enterprise AI companies use a combination of machine learning, deep learning, and data science solutions. This combination enables complex tasks such as data preparation or predictive analytics to be carried out quickly and reliably. Some enterprise AI companies are established names, backed by decades of experience. Other enterprises AI companies are relative newcomers, adopting a fresh approach to AI and problem-solving. This article and infographic will seek to highlight a combination of both. And focus on the real competitors for mergers and acquisitions as well as product development. To help you identify the best AI enterprise software for your business, we've segmented the landscape of enterprise AI solutions into categories. A lot of these enterprise companies can be classified in multiple categories, however, we have focused on their primary differentiation features. You're welcome to re-use the infographic below as long as the content remains unmodified and in full. The automotive industry is at the cutting edge of using artificial intelligence to support, imitate, and augment human action. Self-driving car companies and semi-autonomous vehicles of the future will rely heavily on AI systems from leveraging advanced reaction times, mapping, and machine-based systems.
Waymo claimed last week that its autonomous vehicles are outperforming human drivers. In a report it compiled, between January 2019 and September 2020, the company's fleet of AVs logged 6.1 million miles in Phoenix, Arizona. Sixty-five thousand of those miles were without a safety driver behind the wheel. Waymo says that its fleet was not responsible for a single accident in that entire time. There were 18 minor accidents in which AVs were involved.
The driverless taxi era has finally arrived, in parts of Arizona, at least. Two weeks after Alphabet-owned Waymo started its driverless taxi service to the public in Phoenix, other autonomous vehicle developers are following suit with test vehicles on public roads as well. Until spring this year, Waymo's self-driving vehicles were in their testing phase and were used in up to 10% of the firm's rides. The pandemic forced the company to shutter its doors and temporarily suspend on-road testing, but it is now back online and is expanding its operations. However, as is still required by law, the Waymo One taxi currently requires a human driver to be present to manage the car's autonomous operation and take control when necessary.
Waymo's vehicles have driven a total of 6.1 million miles in Phoenix, Arizona, where it first started testing its self-driving technology. That's merely one of the many, many things the Alphabet-owned autonomous vehicle company has revealed in an in-depth report that details its activities in the Phoenix metro area. Apparently, 65,000 miles of that overall total were accomplished with no human driver behind the wheel. Also, from 2019 up until the first nine months of 2020, Waymo's vehicles were involved in 18 minor accidents and 29 situations wherein the human driver had to seize control to avoid potential collisions. The company's vehicles were involved 16 rear-enders, eight of which were caused by other drivers crashing into them while they're stopped or gradually decelerating for traffic ahead.
In its first report on its autonomous vehicle operations in Phoenix, Arizona, Waymo said that it was involved in 18 crashes and 29 near-miss collisions during 2019 and the first nine months of 2020. These crashes included rear-enders, vehicle swipes, and even one incident when a Waymo vehicle was T-boned at an intersection by another car at nearly 40 mph. The company said that no one was seriously injured and "nearly all" of the collisions were the fault of the other driver. The report is the deepest dive yet into the real-life operations of the world's leading autonomous vehicle company, which recently began offering rides in its fully driverless vehicles to the general public. Autonomous vehicle (AV) companies can be a black box, with most firms keeping a tight lid on measurable metrics and only demonstrating their technology to the public under the most controlled settings.
How likely you are to trust a self-driving car or advice from Siri? A University of Kansas interdisciplinary team led by relationship psychologist Omri Gillath has published a new paper in the journal Computers in Human Behavior showing people's trust in artificial intelligence (AI) is tied to their relationship or attachment style. The research indicates for the first time that people who are anxious about their relationships with humans tend to have less trust in AI as well. Importantly, the research also suggests trust in artificial intelligence can be increased by reminding people of their secure relationships with other humans. Grand View Research estimated the global artificial-intelligence market at $39.9 billion in 2019, projected to expand at a compound annual growth rate of 42.2% from 2020 to 2027.