TechCrunch

MARCH 16, 2022

With video making up more and more of the media we interact with and create daily, there’s also a growing need to track and index that content. Twelve Labs has a machine learning solution for summarizing and searching video that could make quicker and easier for both consumers and creators. But what happens then?

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O'Reilly Media - Data

JULY 18, 2018

In the early phases of adopting machine learning (ML), companies focus on making sure they have sufficient amount of labeled (training) data for the applications they want to tackle. We also know exactly how much it costs to build training data sets from scratch. Data liquidity in an age of privacy: New data exchanges.

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TechCrunch

MAY 6, 2021

It’s widely known that video streaming boomed during the pandemic, as millions of people were faced by boredom during lockdowns. But an unintended consequence of this was the growing environmental impact of millions of video streams, which meant server farms needing to draw increasing amounts of power from the grid. iSIZE , U.K.

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TechCrunch

MARCH 5, 2021

But you can stay tolerably up to date on the most interesting developments with this column, which collects AI and machine learning advancements from around the world and explains why they might be important to tech, startups or civilization. It requires a system that is both precise and imaginative. Image Credits: Asensio, et.

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CIO

NOVEMBER 27, 2024

But that’s exactly the kind of data you want to include when training an AI to give photography tips. Conversely, some of the other inappropriate advice found in Google searches might have been avoided if the origin of content from obviously satirical sites had been retained in the training set.

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TechCrunch

JULY 22, 2022

When it comes to video-based data, advances in computer vision have given a huge boost to the world of research, making the process of analyzing and drawing insights from moving images something that is scalable beyond the limits of a small team of humans. “None of that video is captured, stored or analyzed.

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Altexsoft

JULY 23, 2020

When speaking of machine learning, we typically discuss data preparation or model building. The fusion of terms “machine learning” and “operations”, MLOps is a set of methods to automate the lifecycle of machine learning algorithms in production — from initial model training to deployment to retraining against new data.

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TechCrunch

DECEMBER 5, 2022

To Jae Lee, a data scientist by training, it never made sense that video — which has become an enormous part of our lives, what with the rise of platforms like TikTok, Vimeo and YouTube — was difficult to search across due to the technical barriers posed by context understanding. Image Credits: Twelve Labs.

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TechCrunch

MARCH 20, 2023

The ability to generate fresh content via algorithms has been thrust into the public consciousness by the likes of ChatGPT , a chatbot-style technology trained on large language models (LLMs) capable of producing essays, poems, lyrics, news articles, and even computer programs.

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Netflix Tech

FEBRUARY 13, 2023

We have been leveraging machine learning (ML) models to personalize artwork and to help our creatives create promotional content efficiently. In addition, we provide a unified library that enables ML practitioners to seamlessly access video, audio, image, and various text-based assets.

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Artificial Inteligence Machine Learning Media Video 118

AWS Machine Learning - AI

SEPTEMBER 26, 2024

Video generation has become the latest frontier in AI research, following the success of text-to-image models. Luma AI’s recently launched Dream Machine represents a significant advancement in this field. This text-to-video API generates high-quality, realistic videos quickly from text and images.

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CIO

SEPTEMBER 10, 2024

We know that cybersecurity training is no longer optional for businesses – it is essential. Our mission is to provide accessible, effective, and affordable training to these businesses so they can close the gap, ultimately enhancing their defensive capabilities.”

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TechCrunch

NOVEMBER 4, 2021

Earlier this year I wrote about Gwoop , a team out of Minnesota building a collection of browser-based games meant to help you get better at video games overall. Over the last few months the company has been building out “Gwoop Teams,” which, as the name implies, is built for groups training together. Image Credits: Gwoop.

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TechCrunch

NOVEMBER 23, 2022

The market for corporate training, which Allied Market Research estimates is worth over $400 billion, has grown substantially in recent years as companies realize the cost savings in upskilling their workers. By creating what Agley calls “knowledge spaces” rather than linear training courses. ” Image Credits: Obrizum.

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TechCrunch

NOVEMBER 2, 2021

Davit Buniatyan, founder and CEO at the company says the company developed out of research he was doing at Princeton where saw the need for a streaming database of unstructured data like images and video specifically designed for AI use cases. The company is also launching an alpha version of a commercial product today.

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AWS Machine Learning - AI

MARCH 20, 2025

Gartner predicts that by 2027, 40% of generative AI solutions will be multimodal (text, image, audio and video) by 2027, up from 1% in 2023. It often requires managing multiple machine learning (ML) models, designing complex workflows, and integrating diverse data sources into production-ready formats.

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TechCrunch

NOVEMBER 30, 2022

Like “TrueSelf Scan,” the name of the initial application that’s used to scan a person’s image, the meeting software also will not require a VR headset to use and engage with — users will be “seated” in a room that will be shown on a video screen.

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TechCrunch

SEPTEMBER 22, 2022

Speech recognition remains a challenging problem in AI and machine learning. But what makes Whisper different, according to OpenAI, is that it was trained on 680,000 hours of multilingual and “multitask” data collected from the web, which lead to improved recognition of unique accents, background noise and technical jargon.

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TechCrunch

FEBRUARY 2, 2022

billion company was paved in real data from images, text, voice and video. 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 AI’s path to becoming a $7.3

Games 235

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Cloudera

NOVEMBER 17, 2021

We are very excited to announce the release of five, yes FIVE new AMPs, now available in Cloudera Machine Learning (CML). In addition to the UI interface, Cloudera Machine Learning exposes a REST API that can be used to programmatically perform operations related to Projects, Jobs, Models, and Applications.

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UruIT

AUGUST 22, 2019

Traditionally, Machine Learning (ML) and Deep Learning (DL) models were implemented within an application in a server-client fashion way. Due to this exciting new development in machine learning and deep learning, we figured it would be interesting to show you how you can use Tensorflow.js TensorFlow.js

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TechCrunch

MARCH 28, 2023

The appetite for generative AI — AI that turns text prompts into images, essays, poems, videos and more — is insatiable. In the video category, WSC Sports, which uses AI to generate personally tailored video clips for sports fans, landed $100 million in Series D funding nearly a year ago. billion in 2021 to $4.5 billion in 2022.

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Netflix Tech

NOVEMBER 11, 2022

Data analysis and machine learning techniques are great candidates to help secure large-scale streaming platforms. In semi-supervised anomaly detection models, only a set of benign examples are required for training. Manifest is a list of video, audio, subtitles, etc. The features mainly belong to two distinct classes.

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TechCrunch

JULY 14, 2022

Large-scale machine learning models are at the heart of headline-grabbing technologies like OpenAI’s DALL-E 2 and Google’s LaMDA. DALL-E 2 alone was trained on 256 GPUs for 2 weeks, which works out to a cost of around $130,000 if it were trained on Amazon Web Services instances, according to one estimate. .

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TechCrunch

DECEMBER 1, 2020

The company, which created a visual data labeling platform that uses software and people to label image, text, voice and video data for companies building machine learning algorithms, has raised another $155 million. None of that exists for machine learning.”

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Altexsoft

MAY 12, 2022

Today, we have AI and machine learning to extract insights, inaudible to human beings, from speech, voices, snoring, music, industrial and traffic noise, and other types of acoustic signals. At the same time, keep in mind that neither of those and other audio files can be fed directly to machine learning models.

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Cloudera

APRIL 9, 2021

The third video in the series highlighted Reporting and Data Visualization. Specifically, we’ll focus on training Machine Learning (ML) models to forecast ECC part production demand across all of its factories. Predictive Analytics – AI & machine learning. Data Collection – streaming data. A/B testing).

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TechCrunch

AUGUST 5, 2023

So until an AI can do it for you, here’s a handy roundup of the last week’s stories in the world of machine learning, along with notable research and experiments we didn’t cover on their own. Not every video creator can be bothered to write a description. Even the best AI models today tend to “hallucinate.”

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TechCrunch

AUGUST 24, 2023

As Amazon’s Prime Video gears up for its second year as the exclusive rights holder to NFL’s Thursday Night Football (TNF), the streaming service hopes to give fans a more enhanced viewing experience with a slew of new AI-driven features. We think doing that lets people understand the chess match that’s unfolding on the field. “It’s

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TechCrunch

AUGUST 17, 2023

Hasani is the Principal AI and Machine Learning Scientist at the Vanguard Group and a Research Affiliate at CSAIL MIT, and served as the paper’s lead author. These are neural networks that can stay adaptable, even after training,” Hasani says in the video, which appeared online in January.

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TechCrunch

JULY 7, 2021

WellSaid came out of the Allen Institute for AI incubator in 2019 , and its goal was to make synthetic voices that didn’t sound so robotic for common business purposes like training and marketing content. 5 machine learning essentials nontechnical leaders need to understand.

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Cloudera

OCTOBER 14, 2020

The objective of this blog is to show how to use Cloudera Machine Learning (CML) , running Cloudera Data Platform (CDP) , to build a predictive maintenance model based on advanced machine learning concepts. Step 1: Using the training data to create a model/classifier. The Process. Fig 1: Turbofan jet engine.

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TechCrunch

MARCH 1, 2021

What if we no longer needed cameras to make videos and can instead generate them through a few lines of coding? Advances in machine learning are turning the idea into a reality. We’ve seen how deepfakes swap faces in family photos and turn one’s selfies into famous video clips. Reface grabs $5.5M

Media 195

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AWS Machine Learning - AI

MAY 30, 2024

Organizations across media and entertainment, advertising, social media, education, and other sectors require efficient solutions to extract information from videos and apply flexible evaluations based on their policies. Popular use cases Advertising tech companies own video content like ad creatives.

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Altexsoft

JUNE 29, 2021

In a world fueled by disruptive technologies, no wonder businesses heavily rely on machine learning. Google, in turn, uses the Google Neural Machine Translation (GNMT) system, powered by ML, reducing error rates by up to 60 percent. The role of a machine learning engineer in the data science team.

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Openxcell

MARCH 23, 2023

But with technological progress, machines also evolved their competency to learn from experiences. This buzz about Artificial Intelligence and Machine Learning must have amused an average person. But knowingly or unknowingly, directly or indirectly, we are using Machine Learning in our real lives.

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CIO

SEPTEMBER 29, 2023

Most relevant roles for making use of NLP include data scientist , machine learning engineer, software engineer, data analyst , and software developer. TensorFlow Developed by Google as an open-source machine learning framework, TensorFlow is most used to build and train machine learning models and neural networks.

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