AI News, Could Driverless Cars Be Your Answer to Shipping Challenges? artificial intelligence
Tesla says its new self-driving chip will help make its cars autonomous - MIT Technology Review
CEO Elon Musk said the boards have already been shipping in the Model S and X for a month and the Model 3 for 10 days, equipping them with the necessary hardware to convert into fully driverless vehicles in the near future. The timing of that will depend on when the company can overcome software, regulatory, and business challenges, but Musk said he feels confident that Tesla will have 1 million robotaxis (without human safety drivers) on the road next year.
“I think the most profound thing,” he said in a recent interview, “is that if you buy a Tesla today, I believe you are buying an appreciating asset, not a depreciating asset.” But this isn’t the first time he’s overblown his vehicles’ capabilities or been over-optimistic about his deadlines.
Could Driverless Cars Be Your Answer to Shipping Challenges?
Among today's most promising business innovations, driverless cars promise to completely upend the shipping business.
Currently in its infancy, the market stands poised to experience explosive growth going forward, as both auto makers and technology giants race to redefine the shape of the car shipping market.
As widely reported, numerous providers in the artificial intelligence and auto manufacturing industries are currently jockeying for dominance, and spending as much as $500 million to get fleets of self-driving vehicles on the road.
Prospective benefits of using driverless cars as part of your operations and shipping business include: After all, it's no secret that customers increasingly expect delivery to be free, on-demand and to occur faster than ever.
Promising to remove many of the costs and barriers currently keeping small- to mid-size organizations from expanding their operations, driverless car shipping represents a major growth area for businesses in 2019 and beyond.
How much your firm will ultimately benefit from these new advancements ultimately depends on how much overhead and expense you're currently pouring (or pondering pouring) into your delivery operations though, and how many items you're shipping.
Similarly, it will also hinge on how much human interaction you pride yourself on providing, as high-touch, high-interaction organizations may find driverless cars less conducive to building loyalty and driving repeat business by offering personalized customer service.
As a new and emerging technology, questions still remain around safety, accuracy and on-road steering capabilities, as well as the potential impact of autonomous vehicles on traffic congestion in various cities.
Rising Accidents And Crowded Oceans: Will Self-Sailing Ships Be Next?
Simply put, the maritime industry presents a vastly different set of needs, and training ships to navigate autonomously presents an array of challenges that the automotive industry does not face .
While both can theoretically rely on others to operate according to the established “rules of the road”, the highly defined structure of every inch of the road makes it easier for autonomous and semi-autonomous cars to navigate and to predict the behavior of other cars.
Moreover, even in areas with rigorous regulations such as near ports and in crowded waterways, accidents occur with alarming frequency due to overcrowding and human error – the latter accounting for up to 96 percent of maritime accidents.
However, ships, particularly large vessels with slow turn rates, can require up to six miles of open water to adjust course and avoid collisions, so ample advance notice is crucial to shift directions and avoid a collision.
Whereas cars encounter anomalies and edge cases on a daily basis, thereby guiding the development of autonomous systems, a shipping database with such information is much more difficult to build, and while the process of collection of data is underway, much work remains.
That requires that the systems and algorithms that operate them be put through extensive real-world training to ensure the systems are able to effectively classify the hazards a ship will face on the water, for both routine and edge case scenarios alike.
Given the current challenges, full autonomy is still years off, and even when it is achieved, crews won’t be eliminated, rather they will continue to play a vital part in shipping operations, from monitoring system performance to delivering goods.
32 artificial intelligence companies building a smarter tomorrow
From Google and Amazon to Apple and Microsoft, every major tech company is dedicating resources to breakthroughs in artificial intelligence.
Meanwhile, revolutionary breakthroughs like self-driving cars may not be the norm, but are certainly within reach. As the big guys scramble to infuse their products with artificial intelligence, other companies are hard at work developing their own intelligent technology and services.
Here are 32 artificial intelligence companies and AI startups you may not know today, but you will tomorrow. Industry: Healthtech, Biotech, Big Data Location: Chicago What it does: Tempus uses AI to gather and analyze massive pools of medical and clinical data at scale.
By highlighting only the most relevant and interesting information, businesses can make quicker decisions regardless of the staff's experience with data or analytics.
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Its LiDAR technology focuses on the most important information in a vehicle’s sightline such as people, other cars and animals, while putting less emphasis on things like the sky, buildings and surrounding vegetation.
By fusing problem solving, learning and memory technologies together, the company can build systems that learn and adapt without human assistance.
Industry: Fintech Location: NYC What it does: AlphaSense is an AI-powered search engine designed to help investment firms, banks and Fortune 500 companies find important information within transcripts, filings, news and research. The technology uses artificial intelligence to expand keyword searches for relevant content.
Called CARA A.I., the company's tech can search within the language, jurisdiction and citations of a user's uploaded documents and return relevant searches from the database.
What it does: CloudMinds provides cloud robot services for the finance, healthcare, manufacturing, power utilities, public sector and enterprise mobility industries.
Its cloud-based AI uses advanced algorithms, large-scale neural networks and training data to make smarter robots for image and object recognition, natural language processing, speech recognition and more.
The company's 'human-in-the-loop' platform uses human intelligence to train and test machine learning, and has powered AI projects for major companies like Oracle, Ebay SAP and Adobe.
Using non-invasive blood tests, the company’s AI technology recognizes disease-associated patterns, providing earlier cancer detection and better treatment options.
From financial and insurance needs to travel and healthcare, the intelligent products perform duties and answer questions for tech support, billing, scheduling, purchases and policy information.
What it does: Orbital Insight uses geospatial imagery and artificial intelligence to answer questions and gain insights invisible to the naked eye. Using data from satellites, drones, balloons and other aircrafts, the company can provide insights and forecasts to the agriculture and energy industries that normally wouldn’t be available.
Industry: Software Location: San Francisco What it does: OpenAI is a nonprofit research company with a mission to create safe artificial general intelligence (AGI). AGI aims to create machines with general purpose intelligence similar to human beings. With a focus on long-term research and transparency, OpenAI hopes to advance AGI safely and responsibly.
Sift uses thousands of data points from around the web to train in detecting fraud patterns. The technology helps payment processors, marketplaces, e-commerce stores and even social networks prevent fraud.
(US office) What it does: Zebra Medical Vision develops technology for radiology and medical imaging, enhancing the diagnostic abilities of radiologists while maximizing focus on patient care.
These algorithms will ultimately help medical professionals detect high-risk patients earlier and manage growing workloads with more accurate outcomes.
Spanning the agriculture, pharmaceutical and chemical industry, the company enables faster cultivation of microbes through automation software and a huge catalog of physical and digital DNA data.
- On 21. oktober 2021
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