Simplilearn

FEBRUARY 25, 2021

Virtual assistants, autonomous driving vehicles and robot deliveries are early practical examples of how AI/ML is being put to use. Increasingly pervasive in our lives, artificial intelligence, and machine learning (AI/ML) promise to launch a fourth industrial revolution on par with mechanization, electricity and computer technologies.

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Artificial Intelligence 260

Smart Data Collective

APRIL 27, 2021

Autonomous cars today are also adapting to complex human behavior, thanks to AI technology. Here we discuss how AI is laying the foundation for smarter cars within the next decade, with the main focus on AI-powered cockpits, technology, driverless vehicles and even smart transportation. Autonomous Driving. AI-Powered Cabin.

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Smart Data Collective

MARCH 23, 2022

Many companies are using AI to create more energy efficient and cost-effective vehicles. Although there are many benefits of embedding AI in these cars, one of the biggest selling points is that it makes vehicles safer. How do they make vehicles safer? Other uses include vehicles that can drive autonomously.

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Smart Data Collective

FEBRUARY 22, 2021

In this post, we are going to analyze how these developments affect the industry as a whole – from production and R&D to marketing and wireless network connected vehicles. Autonomous and connected vehicles. Soon, cars will be communicating with one another and that’s how autonomous driving will advance.

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E-Commerce Big Data Finance Data Management 217

Dataversity

JANUARY 23, 2023

It is being used across several industries, from mobile device keyboards to health care to autonomous vehicles to oil rigs. Federated learning is a machine learning technique that allows multiple parties to train a model without sharing their data.

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Simplilearn

NOVEMBER 21, 2022

It’s pretty well known that machine learning (ML) is deeply involved in advanced technologies like autonomous vehicles, robotics, drones, medical imaging, and security systems. But what many don’t know is the key driver that brings many of these technologies to life — called image annotation. Read More.

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Simplilearn

OCTOBER 27, 2021

Think of smart roads as autonomous vehicles’ (AVs) silent partner. AVs are touted as safer than human-driven vehicles since most accidents are due to human error. Read More.

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Smart Data Collective

JULY 24, 2019

I-80 where it connects to US 395 in Nevada was designed to have 90,000 vehicles on the roadway per day, but rapid growth in the area has led to more than 260,000 vehicles per day on this road. Autonomous Driving Enhancement. In the latter case, the vehicle will force the driver to put on a seatbelt before the vehicle starts.

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Smart Data Collective

NOVEMBER 9, 2021

A lot of companies are sharing data to help make roads and vehicles safer, as well as helping drivers make better driving decisions on the road. Volvo claims that such measures can eventually signal an alarm to the driver and even reduce speed if the vehicle detects that the driver’s gaze has wandered from the windshield.

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Smart Data Collective

AUGUST 11, 2022

For instance, although an autonomous vehicle can drive independently, it may not register surroundings like a human driver. Therefore, safety engineers are needed to track these cars’ movement and alert systems if the vehicles pose a danger to humans or buildings.

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Simplilearn

MARCH 5, 2021

The autonomous driving market is finally hitting its stride, thanks to wireless connectivity and a range of modern technologies that allow data to be captured, processed, and analyzed rapidly. Read More.

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Stickyminds

MARCH 14, 2024

This enriched data provides valuable insights for applications in autonomous vehicles, healthcare, retail, and manufacturing. However, integrating metadata like object class, location, and time with AI object detection unlocks even greater potential.

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Artificial Intelligence Healthcare Retail Vision 52

Smart Data Collective

SEPTEMBER 30, 2021

From vaccines and autonomous vehicles to language processing and quantum computing, artificial intelligence has progressed significantly and ensured its central position in the future. Vaccine Development. Fully Automated Driving. It’s not only in medicine where AI managed to provide outstanding findings and improve procedures.

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Artificial Intelligence User Experience Visualization 244

Pestle Analysis

APRIL 6, 2021

This General Motors SWOT analysis highlights the company's strengths and weaknesses and presents the potential external opportunities and threats.

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Sisense

OCTOBER 29, 2020

Over the years, some bold predictions have been made about the impact autonomous vehicles (AVs) will have on our daily lives. Researchers from the National Highway Traffic Safety Administration estimated that fully autonomous cars could reduce traffic fatalities by up to 94% by eliminating accidents due to human error.

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Leading Agile

APRIL 21, 2021

Both products solved a very particular problem with our vehicles. Although we could connect our phones and music players to our car sound systems through Bluetooth for years, the OEM-provided software running on the vehicle infotainment center was often clunky, buggy, and difficult to use. It was a nice stop-gap solution. Danger Ahead.

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Smart Data Collective

JUNE 16, 2022

Deep learning is one of the most important technologies underpinning autonomous vehicles since it allows them to detect things like stop signs and tell a human from a signpost. When the drivers reach the crowded parking lot, they spend several minutes looking for a location to park their vehicles.

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Innovation 327

Smart Data Collective

JULY 8, 2021

With militaries developing autonomous vehicles and weapons, it raises a new threat of such weapons falling into the wrong hands. But it also means fewer jobs for humans that eventually lead to unemployment and other economic problems. Misuse leading to threats. Data discrimination.

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Fingent

JULY 15, 2023

From autonomous vehicles to voice assistants, AI has already made significant inroads in various sectors. Artificial Intelligence (AI) evolved from a concept of science fiction to a transformative force that permeates our daily lives. However, one area that stands to gain immensely from AI’s potential is the supply chain.

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Smart Data Collective

MARCH 26, 2021

Second, autonomous vehicles are already coming into play. These vehicles use ML to navigate and operate. If ML can process blueprints and plans, it can analyze that data and then provide recommendations for workers on exactly what tools, materials, and machinery they’ll need for the process.

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Smart Data Collective

JANUARY 14, 2022

When applied to real-world systems like autonomous vehicles, this technology combines complex algorithms, robotics, and physical sensors. Computer systems capable of learning, reasoning, and acting are still in the early stages. Machine learning needs massive amounts of data.

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Analysts Corner

APRIL 18, 2023

Machine learning models have made great strides in tasks such as image and speech recognition, natural language processing, and driving autonomous vehicles. AI has already come a long way, and we have made remarkable progress in developing machines that can learn and make decisions from data.

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Data Pine

MAY 2, 2023

Interacting with powerful data sets will empower you to drive down operational costs by optimizing delivery routes, predicting machinery or delivery vehicle maintenance, and weaving the whole supply chain together fluently. To work effectively, big data requires a large amount of high-quality information sources.

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GlowTouch

MARCH 1, 2021

Connected cars are vehicles connected to the internet. We’ve all seen the hyper-futuristic visions of completely autonomous personal vehicles in a world where everything is automatic, AI-controlled, voice-activated, and on-demand. These fully autonomous ride-hailing vehicles make up one of the first self-driving services.

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Smart Data Collective

AUGUST 13, 2019

From being the technology behind the automation of a company to the introduction of the world’s first semi-autonomous vehicles, and every known AI innovation in between, AI is now embedded into the digital framework of countless modern technologies. Today, AI application is fast becoming more and more prominent.

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My Agile Partner

SEPTEMBER 28, 2023

Example : Autonomous Vehicles. Deep learning, a subfield of neural networks, has gained immense popularity in recent years. Deep neural networks can process data in layers, allowing for complex decision-making. Companies like Tesla utilize deep learning algorithms to enable self-driving cars.

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Analysts Corner

JANUARY 5, 2024

Identify and fine vehicles that emit pollutants above permitted limits. It is difficult to predict if at some point we will have totally reliable systems to monitor and configure business processes and rules autonomously in the way I propose in this article, but we can certainly count on AI systems in a “supervised” form for this to happen.

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GAVS Technology

APRIL 7, 2024

This strategic shift holds immense significance, particularly for data-intensive applications such as autonomous vehicles and smart cities. These sensors analyze data locally, triggering real-time maintenance and preventing costly downtime. Self-driving cars can react instantly to obstacles without waiting for cloud instructions.

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Bintelligence

JANUARY 11, 2022

. - Manufacturing - ZenBusiness - Other Winning Products - Abbott FreeStyle Libre 3 System - Healthcare - Access Vascular - Healthcare - ADP Return to Workplace Mobile Solution - Technology - AdTheorent Privacy-Forward Machine Learning Platform - Technology - Airthings View Plus - Technology - AllData Connect from Fiserv - Technology - Analog Devices (..)

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Argon Digital

JULY 21, 2023

Enhanced Safety : AI-driven robots and autonomous vehicles can handle hazardous tasks, minimizing the risk of accidents and ensuring a safer work environment for employees. Process Optimization : AI can analyze production data to identify inefficiencies, allowing manufacturers to optimize workflows and maximize resource utilization.

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Whizlabs

JUNE 22, 2021

I find the use of Artificial Intelligence (AI), robotics, and evolving forms of autonomous automation extremely interesting. Other than personal learning, what are you currently learning in the technical field? Any new field of interest? All the while, keeping an eye on cloud as the future is increasingly dependent upon it.

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Roman Pichler

JULY 9, 2019

Determine which assets are actual products —value creating vehicles that offer a tangible benefit or address a real problem for a group of people, while at the same time deliver specific business benefits, such as generating revenue directly or indirectly, reducing cost, or increasing brand equity. Organise Around Products.

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Roman Pichler

JULY 9, 2019

Determine which assets are actual products —value creating vehicles that offer a tangible benefit or address a real problem for a group of people, while at the same time deliver specific business benefits, such as generating revenue directly or indirectly, reducing cost, or increasing brand equity. Organise Around Products.

Product Management 88

Product Management Product Management Vision Planning 88

Smart Data Collective

FEBRUARY 21, 2021

Businesses which operate fleets of vehicles, whether small or large, are under increased scrutiny with regards to the sustainability of their operations at the moment. The measuring of various performance metrics within fleets can also extend to maintenance matters. Unpacking drivers’ bad habits.

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Sisense

JANUARY 13, 2020

The company manufactures and installs adaptations to personal and commercial vehicles that make them wheelchair accessible. Embedded analytics are also faster and more autonomous than more traditional data analysis. Take our customer, BraunAbility , for example.

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Dataversity

FEBRUARY 18, 2021

Click to learn more about author Ashok Sharma. Machine learning (ML) algorithms are everywhere these days. AI applications aren’t something that will be present in the future. They’re already here and have begun making an impact on our lives. AI usage is currently in an embryonic stage and faces significant challenges.

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Artificial Intelligence 246

Smart Data Collective

AUGUST 9, 2023

These days, embedded software development typically refers to more complex systems, such as, but not limited to: Automotive systems, including dashboard displays and engine control systems Connected cars and semi-autonomous vehicles Medical equipment like pacemakers or MRI machines Smart home appliances like voice assistants, security cameras, and (..)

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