TechCrunch

FEBRUARY 18, 2022

– Artificial intelligence-powered remote patient monitoring wearable technology. EKTO VR – Transforms workforce training by simulating the world’s most complex and hazardous environments with wearable technology. Selfit – Digital robotic care focusing on the aging population, physical and cognitive health.

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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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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.

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TechCrunch

JANUARY 28, 2022

One of the most popular applications of artificial intelligence to date has been to use it to predict things, using algorithms trained with historical data to determine a future outcome. Interestingly, it’s an approach that Matovski says does not need to ingest huge volumes of training data to work.

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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

JANUARY 26, 2021

Traditionally, it was always hard to virtualize GPUs, so even as demand for training AI models has increased, a lot of the physical GPUs often set idle for long periods because it was hard to dynamically allocate them between projects. raises $13M for its distributed machine learning platform. Image Credits: Run.AI. .”

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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. Hover secures $60M for 3D imaging to assess and fix properties.

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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. That points to resourcefulness, and artificial intelligence technology with multipurpose potential at the end of the day.

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VR Video Technology Artificial Inteligence 220

CIO

JUNE 8, 2023

s senior vice president and CIO, Anu Khare leads the specialty truck maker’s intelligent enterprise agenda, which includes data science and artificial intelligence practice, digital manufacturing, cybersecurity, and technology shared services to drive technology-enabled business transformation. In his role as Oshkosh Corp.’s

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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. Scale hired two executives to build out this new division of its business.

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Xebia

DECEMBER 14, 2023

Some examples with a lot of impact are the financial industry with fraud detection, the automotive industry with self-driving efforts and (social) media sector with personalized feeds. Training insights: Shifting towards educational initiatives, what motivated you to develop the " AI Powered Product Management ” training?

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Cloudera

AUGUST 18, 2021

In digital transformation projects, it’s easy to imagine the benefits of cloud, hybrid, artificial intelligence (AI), and machine learning (ML) models. Data Lifecycle Management: The Key to AI-Driven Innovation. The hard part is to turn aspiration into reality by creating an organization that is truly data-driven.

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TechCrunch

JUNE 17, 2021

This kind of accuracy requires billions of ground truth data points that are trained and tested on KeepTruckin’s in-house machine learning platform, a process that is very resource-intensive.

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Openxcell

APRIL 25, 2023

Until recently, technology geeks and computer scientists were the main players in the development of Artificial Intelligence. With AI’s recent advancements, the tech industry requires more precise Artificial Intelligence service providers. The use of Artificial Intelligence can help detect and prevent fraud.

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Cloudera

NOVEMBER 9, 2022

“I chose to join Cloudera among other opportunities I had at the time because its products touch the artificial intelligence (AI) and machine learning (ML) sectors,” he explained. And analytics is a prerequisite to be able to do machine learning or artificial intelligence of any kind.

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Trigent

APRIL 15, 2021

AR and VR have come to their rescue opening new avenues for a more engaging distance learning experience. In tandem with Artificial Intelligence (AI), they promise a hyper-immersive learning experience that puts experiential learning at the fore of things. Closing the gap in distance learning.

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TechCrunch

OCTOBER 6, 2021

“I am incredibly excited to collaborate with Ocado Group and learn from their vast expertise. Ocado Group has been driving innovation in global grocery logistics for decades.

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Openxcell

MARCH 28, 2023

Trend: 6 Augmented Reality with Artificial Intelligence It is fair to say that AR and AI are two of the most promising technological advancements of the present day. Artificial Intelligence is capable of creating structures quickly. For example, AR-based training can be improved through the use of CAD data.

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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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d2iq

MAY 19, 2022

AI Makes Automotive Waves Although fully safe and reliable self-driving cars are yet to be perfected, the AI-based computer vision on which self-driving cars rely has made great strides. AI already surrounds us, often without the average user realizing it.On It will enable Tesla to remain years ahead of its competitors.

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TechCrunch

MARCH 1, 2022

Waabi World automatically builds digital twins of the world from data, performing near-real-time sensor simulation, manufacturing scenarios to stress-test the Waabi Driver, and teaching the driver to learn from its mistakes without human intervention.

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.Net Artificial Inteligence Transportation Comparison 198

Blue Sentry

MAY 17, 2021

In particular, deep learning, machine learning, and AI tend to be the three trickiest to pin down. Despite machine learning and AI embedding into nearly every industry, both technologies are still extremely modern — especially in the context of business fit. Machine Learning is Use-case Drenched.

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Hacker Earth Developers Blog

JULY 19, 2018

Businesses that use Artificial Intelligence (AI) and related technology to reveal new insights “will steal $1.2 Improvement in machine learning (ML) algorithms—due to the availability of large amounts of data. trillion per annum from their less informed peers by 2020.” predicts Forrester Research. Applications of AI.

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AWS Machine Learning - AI

NOVEMBER 22, 2023

Now all you need is some guidance on generative AI and machine learning (ML) sessions to attend at this twelfth edition of re:Invent. In this innovation talk, hear how the largest industries, from healthcare and financial services to automotive and media and entertainment, are using generative AI to drive outcomes for their customers.

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Altexsoft

JANUARY 11, 2019

So, let’s analyze the data science and artificial intelligence accomplishments and events of the past year. Machine learning and data science advisor Oleksandr Khryplyvenko notes that 2018 wasn’t as full of memorable breakthroughs for the industry, unlike previous years. AutoML: automating simple machine learning tasks.

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TechCrunch

MARCH 23, 2022

With offices in Tel Aviv and New York, Datagen “is creating a complete CV stack that will propel advancements in AI by simulating real world environments to rapidly train machine learning models at a fraction of the cost,” Vitus said. In-cabin automotive is a good example to better understand what Datagen does.

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TechCrunch

SEPTEMBER 20, 2022

Data privacy regulations like GDPR, the CCPA and HIPAA present a challenge to training AI systems on sensitive data, like financial transactions , patient health records and user device logs. One workaround that’s gained currency in recent years is federated learning. Image Credits: DynamoFL.

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TechCrunch

SEPTEMBER 22, 2022

Corso says he, alongside machine learning PhD Brian Moore, created Voxel51 to harness the growing flood of unstructured data in AI and machine learning. “[Voxel51] doesn’t simply find the right data to train a model from, but verifies that said data will train your model to do the thing you actually want it to do.”

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Altexsoft

DECEMBER 21, 2021

When people hear about artificial intelligence, deep learning, and machine learning , many think of movie-like robots that resemble or even outperform human intelligence. Others believe that such machines simply consume information and learn from it by themselves. Source: GitHub.

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Altexsoft

FEBRUARY 21, 2022

There has been a lot of buzz around data science, machine learning (ML), and artificial intelligence (AI) lately. As you may already know, to train a machine learning model, you need data. To save you time, watch our 14-minute video on how data is prepared for machine learning.

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IDC

SEPTEMBER 18, 2019

We’ve discussed how the term artificial intelligence (AI) covers a wide array of applications ; just like many of these functionalities, affective computing is beginning to see some growth in the market. Using Behavioral Insights to Train Customer-Facing Employees.

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Openxcell

JULY 10, 2023

The digital twin technology has expanded beyond manufacturing to include Artificial Intelligence, the Internet of Things, and Data Analytics. A combination of 3D modeling, sensor data, and Artificial Intelligence is used to create this replica. How do Digital Twin work?

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Capgemini

FEBRUARY 13, 2024

“I believe that bringing an intelligent product is not the end goal; the end goal is to create a better experience for our customers, so that it drives more revenue over the lifetimes of our brands.” Federated learning: AI models are trained across decentralized user data while keeping the information on users’ devices.

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Altexsoft

APRIL 13, 2023

“Control towers are the artificial intelligence (AI) of supply chain. You can read the details on them in the linked articles, but in short, data warehouses are mostly used to store structured data and enable business intelligence , while data lakes support all types of data and fuel big data analytics and machine learning.

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Altexsoft

MARCH 22, 2022

Meanwhile, synthetic data can be a good alternative to rely on when it comes to training machine learning models. Synthetic data is artificial data that mimics real-world observations and is used to train machine learning models in those cases when actual data is difficult or expensive to get.

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Perficient

JUNE 20, 2023

Data Cloud is powered by artificial intelligence (AI) and machine learning (ML), which help companies to automate tasks, improve decision-making, and drive revenue growth. Einstein GPT is built on top of Salesforce’s Einstein Platform, which provides a foundation for AI and machine learning applications.

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Mobilunity

DECEMBER 5, 2023

This means that Artificial Intelligence embraces more industries, and using this technology “smartly” becomes a critical competitive advantage. These specialists know development methodologies and Machine Learning and usually code in Java, C, and Python. AI Engineering 73% of US marketers use generative AI tools.

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