TechCrunch

MAY 9, 2023

UVeye’s automated vehicle inspection technology may have started out as a system to detect security threats , but the six-year-old Israeli startup has found deep interest and investment from the automotive sector. ” Now, UVeye is doubling down on its automotive bet. UVeye also has offices in Japan and Germany.

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TechCrunch

JUNE 6, 2022

Vayyar , a company developing radar-imaging sensor technologies, today announced that it raised $108 million in a Series E round led by Koch Disruptive Technologies, with participation from GLy Capital Management, Atreides Management LP, KDT, Battery Ventures, Bessemer Ventures, More VC, Regal Four and Claltech.

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CIO

FEBRUARY 10, 2023

Predictive analytics definition Predictive analytics is a category of data analytics aimed at making predictions about future outcomes based on historical data and analytics techniques such as statistical modeling and machine learning. Financial services: Develop credit risk models. Forecast financial market trends.

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TechCrunch

FEBRUARY 2, 2022

As the automotive industry inches slowly ahead on the road to self-driving vehicles, we’re seeing the emergence of startups aiming to fill in some of the technical gaps in autonomous systems as they exist today. “Machine learning is bad at processing rare but important things,” Langkilde said.

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TechCrunch

FEBRUARY 10, 2022

China’s autonomous vehicle industry first started seeing some traction around 2016, when a bunch of ambitious startups mushroomed following advances in lidar, computing and machine learning. The industry saw a period of unprecedented acceleration in 2021, with over $8.5

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TechCrunch

JANUARY 12, 2023

Because they’re relatively affordable and can be programmed for a range of use cases, they’ve caught on particularly in the AI and machine learning space where they’ve been used to accelerate the training of AI systems. ” Rapid Silicon is developing two products at present: Raptor and Gemini.

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TechCrunch

DECEMBER 19, 2022

Helm.ai, a startup developing software designed for advanced driver assistance systems, autonomous driving and robotics, is one of them. developed software that can understand sensor data as well as a human — a goal not unlike others in the field. Instead of the sensors or compute, Helm.ai Its approach is the noteworthy part.

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CIO

DECEMBER 12, 2023

Generative AI has already made its entry into the company, with some software development teams using it in various parts of their coding schema and methodology, he says. Artificial Intelligence, Automotive Industry, Chief Data Officer, CIO, Data Management, Emerging Technology, Generative AI, Innovation, IT Leadership, Vendor Management

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CIO

JULY 10, 2023

For a decade, Edmunds, an online resource for automotive inventory and information, has been struggling to consolidate its data infrastructure. Now, with the infrastructure side of its data house in order, the California-based company is envisioning a bold new future with AI and machine learning (ML) at its core.

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TechCrunch

DECEMBER 20, 2021

AI chips, which are semiconductors designed to accelerate machine learning, have many applications. Through the strategic investment, Kneron and Lite-On will jointly develop roadside AI boxes that will be powered by Kneron’s edge AI chips. Kneron releases its first automotive-grade chip for ADAS and AV systems.

Automotive 248

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Altexsoft

FEBRUARY 5, 2019

The rapid development of artificial intelligence (AI) is forcing the world’s governments to try and keep up with the inherent changes. Here in the US, these developments are what spurred the introduction of the Fundamentally Understanding the Usability and Realistic Evolution (FUTURE) of Artificial Intelligence Act of 2017.

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CIO

AUGUST 11, 2023

How natural language processing works NLP leverages machine learning (ML) algorithms trained on unstructured data, typically text, to analyze how elements of human language are structured together to impart meaning. It was primarily developed at the University of Massachusetts Amherst.

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TechCrunch

JANUARY 26, 2021

.” Run:AI says that it is currently working with customers in a wide variety of industries, including automotive, finance, defense, manufacturing and healthcare. raises $13M for its distributed machine learning platform. ” Run.AI

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TechCrunch

OCTOBER 22, 2020

As Vijayan tells it, he knew nothing about cars until joining Tesla in 2011, following a dozen years of working in product development at Oracle, then VMware. Yet he learned plenty over the subsequent four years. One of these dealerships is the national chain Serra Automotive, whose founder, Joseph Serra, is now an investor in Tekion.

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TechCrunch

NOVEMBER 3, 2021

Take a dollop of machine learning, a handful of radar sensors and a market that is clamoring for autonomous cars not mowing down hordes of pedestrians, and you’ve got yourself a particularly frothy fundraising environment.

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TechCrunch

OCTOBER 5, 2021

is generating synthetic data for the satellite, medical, robotics and automotive industries. Kundtz received his PhD in physics from Duke University and cut his teeth in the space industry, heading the satellite antenna developer Kymeta Corporation. A toolkit for developers. Rendered.ai

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CIO

MARCH 24, 2023

Veeva covers a large scope of our environment from clinical development to quality regulatory affairs from a user experience in one interface.” Last year, the company launched another product in Japan and currently has 10 products in clinical development, roughly half of which are in the late stages. I have a unique setup.

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Perficient

NOVEMBER 9, 2023

They’ve been designing and building custom automotive solutions to advance customer experience and leverage competitive advantages. For the consumer automotive market, big data can help drivers understand when their vehicles need repair or attention. What Can Connected Data Do for Automotive Insurance and Finance?

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TechCrunch

FEBRUARY 2, 2022

They announced Wednesday an early access program to Scale Synthetic , a product that machine learning engineers can use to enhance their existing real-world data sets, according to the company. Autonomous vehicle technology developer Kodiak Robotics, Tractable AI and the U.S.

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TechCrunch

NOVEMBER 16, 2022

Parallel Domain has been focused on the automotive market, supplying synthetic data to some of the major OEMs that are building advanced driver assistance systems and autonomous driving companies building much more advanced self-driving systems.

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TechCrunch

JANUARY 25, 2022

The startup, spun out of the research labs at Oxford, has raised $20 million, a Series A that it will be using to continue its research and, in conjunction with partners and customers, product development. Other sectors it’s working with include automotive OEM, industrial IoT, and technology consulting, it says.).

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TechCrunch

JANUARY 8, 2021

Ahead of the official start of CES, the Taiwan Excellence awards were announced by non-profit trade promotion group Taiwan External Trade Development Council (known as TAITRA ) and ShowStoppers , giving a preview of what its startups offer. Awards went to seven startups, while eleven other companies also presented.

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TechCrunch

MAY 25, 2021

Affectiva, which spun out of the MIT Media Lab in 2009, has developed software that can detect and understand human emotion, which Smart Eye is keen to combine with its own AI-based eye-tracking technology. Smart Eye helps Affectiva move beyond the development and prototype work and into production contracts.

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Apiumhub

NOVEMBER 8, 2023

The Development of Graphical User Interfaces (GUIs) The Birth of the Command Line In the early days of computing, user interaction was primarily text-based through command-line interfaces (CLI). Today, smartphones, tablets, and even some laptops rely heavily on touchscreen GUIs, providing seamless user experiences.

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TechCrunch

JANUARY 28, 2022

A startup called causaLens has developed causal inference technology — presented as a no-code tool that doesn’t require a data scientist to use to introduce more nuance, reasoning and cause-and-effect sensibility into an AI-based system — which it believes can solve this problem.

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Xebia

DECEMBER 14, 2023

I ndustry Trends and Observations As someone deeply immersed in the field, what developments do you observe in how do businesses try to leverage AI to enhance their product strategies? Product development, on the other hand, is more about cutting complexity into manageable chunks. Data Science is about continuous experimentation.

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CIO

MARCH 31, 2023

That shortage has abated as of late (except in automotive industry) as possible recession has slowed demand for consumer devices, PCs, and servers, Ranjan says. They are in different stages of deployment and some are developed internally and some partner with different AI vendors.”

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TechCrunch

JUNE 17, 2021

KeepTruckin , a hardware and software developer that helps trucking fleets manage vehicle, cargo and driver safety, has just raised $190 million in a Series E funding round, which puts the company’s valuation at over $2 billion, according to CEO Shoaib Makani. .

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Strategy Driven

NOVEMBER 14, 2018

Since 2012, with the proliferation of Python in general software development, Machine Learning has become the biggest trend in the technology world. With applications ranging from the mobile world to the automotive industry, let’s break down Machine Learning in its complexity. To Conclude.

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Mobilunity

JUNE 5, 2023

The automotive industry has been an engine of transformation and innovation for over a century, revolutionizing the way we travel and shaping the modern world. In this article, we embark on a journey through the realms of the automotive industry, exploring its vibrant landscape, emerging trends, and groundbreaking advancements.

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TechCrunch

DECEMBER 1, 2020

Scale AI , the four-year-old data labeling startup, has discovered that selling the picks and shovels needed to develop and apply artificial intelligence is big business. Earlier this year, the company quietly launched Nucleus, an AI development platform that Wang describes as the “Google Photos for machine learning datasets.”

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TechCrunch

NOVEMBER 30, 2022

Based around machine learning, CommonGround’s platform is theoretically learning all the time from its users: The more you use it, the more you train it and the more accurate it becomes. And to be clear, the startup confirms that the tech is not in any way connected to what others are building around the same concept.

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TechCrunch

JUNE 16, 2021

Tractable , which works with automotive insurance companies to let users take and submit photos of damaged cars that are then “read” to make appraisals, has raised $60 million, a Series D that values Tractable at $1 billion, the company said. There are other companies that have also identified this opportunity.

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TechCrunch

FEBRUARY 18, 2022

Eatron Technologies – Intelligent production-ready software solution for the automotive industry and mobility. Roving Blue – Develops products featuring Power of EO3®, a new way to dissolve ozone into the water, to kill unwanted microorganisms in water, foods and surfaces. Tanvas, Inc. Innovation for Impact.

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Agile Engine

SEPTEMBER 29, 2023

Few people know this, but enterprises often employ a machine learning technique that’s instrumental in particle physics experiments at the Large Hadron Collider. Just as the Large Hadron Collider accelerates subatomic particles, machine learning solutions set trillions of data points in motion to solve complex business challenges.

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Capgemini

DECEMBER 18, 2023

These include supply chain volatility, sustainability, government investments, generative AI, geopolitical tensions, equality, and the tremendous opportunities in automotive. There is an urgent need to establish metrics and develop a measurable roadmap to achieve net zero, and sustainable procurement is gaining attraction in the market.

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Trends Industry Automotive Generative AI 52

Capgemini

MARCH 11, 2020

According to a new report by the Capgemini Research Institute, Accelerating automotive’s AI transformation: How driving AI enterprise-wide can turbo-charge organizational value , artificial intelligence (AI) technologies are key to the success of this predictive-maintenance approach. We expect to see ever-broader adoption of it.

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