TechCrunch

MARCH 17, 2021

OctoML , a Seattle-based startup that offers a machine learning acceleration platform build on top of the open-source Apache TVM compiler framework project , today announced that it has raised a $28 million Series B funding round led by Addition.

Artificial Inteligence 251

Artificial Inteligence Machine Learning Open Source Automotive 251

O'Reilly Media - Data

JUNE 26, 2018

Interpreting machine learning models is a pretty hot topic in data science circles right now. Like others in the applied machine learning field, my colleagues and I at H2O.ai have been developing machine learning interpretability software for the past 18 months or so. Figure courtesy of H2O.ai.

Artificial Inteligence 219

Artificial Inteligence Machine Learning Testing Training 219

TechCrunch

APRIL 19, 2023

For many, ChatGPT and the generative AI hype train signals the arrival of artificial intelligence into the mainstream. Just last year, a similar proposition to Qdrant called Pinecone nabbed $28 million , though Zayarni considers Qdrant’s open source foundation as a major selling point for would-be customers.

Open Source 246

Open Source Artificial Inteligence Development Data 246

AWS Machine Learning - AI

APRIL 10, 2025

Training a frontier model is highly compute-intensive, requiring a distributed system of hundreds, or thousands, of accelerated instances running for several weeks or months to complete a single job. For example, pre-training the Llama 3 70B model with 15 trillion training tokens took 6.5 During the training of Llama 3.1

Training 93

Training Artificial Inteligence Hardware Systems Review 93

TechCrunch

SEPTEMBER 27, 2022

But so far, only a handful of such AI systems have been made freely available to the public and open sourced — reflecting the commercial incentives of the companies building them. billion parameters) — using ServiceNow’s in-house graphics card cluster.

Open Source 220

Open Source Generative AI Artificial Inteligence System 220

O'Reilly Media - Data

JULY 17, 2018

Although machine learning (ML) can produce fantastic results, using it in practice is complex. For example, Uber and Facebook have built Michelangelo and FBLearner Flow to manage data preparation, model training, and deployment. Machine learning workflow challenges. algorithm) to see whether it improves results.

Artificial Inteligence 266

Artificial Inteligence Machine Learning Software Review Open Source 266

TechCrunch

MAY 15, 2023

With Together, Prakash, Zhang, Re and Liang are seeking to create open source generative AI models and services that, in their words, “help organizations incorporate AI into their production applications.” The number of open source models both from community groups and large labs grows by the day , practically.

Open Source 229

Open Source Generative AI ChatGPT Hardware 229

CIO

NOVEMBER 1, 2024

With those tools involved, users can build new AI models on relatively low-powered machines, saving heavy-duty units for the compute-intensive process of model training. Deploying AI Many modern AI systems are capable of leveraging machine-to-machine connections to automate data ingestion and initiate responsive activity.

Artificial Inteligence 179

Artificial Inteligence Artificial Intelligence Open Source Machine Learning 179

CIO

OCTOBER 28, 2024

In these cases, the AI sometimes fabricated unrelated phrases, such as “Thank you for watching!” — likely due to its training on a large dataset of YouTube videos. Another machine learning engineer reported hallucinations in about half of over 100 hours of transcriptions inspected. With over 4.2

Tools 179

Tools Study Healthcare Research 179

TechCrunch

SEPTEMBER 6, 2022

The nonpartisan think tank Brookings this week published a piece decrying the bloc’s regulation of open source AI, arguing it would create legal liability for general-purpose AI systems while simultaneously undermining their development. “In the end, the [E.U.’s] “In the end, the [E.U.’s]

Open Source 245

Open Source Artificial Inteligence Innovation Government 245

TechCrunch

MAY 18, 2022

Heartex, a startup that bills itself as an “open source” platform for data labeling, today announced that it landed $25 million in a Series A funding round led by Redpoint Ventures. When asked, Heartex says that it doesn’t collect any customer data and open sources the core of its labeling platform for inspection.

Open Source 203

Open Source Weak Development Team Data Artificial Inteligence 203

O'Reilly Media - Data

JULY 23, 2018

Interest in machine learning (ML) has been growing steadily , and many companies and organizations are aware of the potential impact these tools and technologies can have on their underlying operations and processes. Machine Learning in the enterprise". Scalable Machine Learning for Data Cleaning.

Artificial Inteligence 180

Artificial Inteligence Machine Learning How To Case Study 180

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. They then investigate additional data sources that they can use to augment their existing data.

Artificial Inteligence 195

Artificial Inteligence Machine Learning Data Marketing 195

The Parallax

JUNE 5, 2019

The mirror, built by the CareOS subsidiary of the French tech company Baracoda , offers personalized recommendations guided by Google’s TensorFlow Lite machine-learning algorithm platform. READ MORE ON MACHINE LEARNING. How Facebook fights fake news with machine learning and human insights.

Artificial Inteligence 169

Artificial Inteligence Machine Learning Training Banking 169

Github

JANUARY 22, 2020

Always wanted to get involved in an open source project but don’t know where to begin? GitHub now helps you find good first issues to start contributing to open source. Learn about the machine learning algorithms that made this feature a reality in our engineering post. Happy open-sourcing!

Open Source 29

Open Source Artificial Inteligence Machine Learning Training 29

TechCrunch

NOVEMBER 17, 2020

startup that specializes in the rarified world of development tools to optimize machine learning. More accurately, Seldon is a cloud-agnostic machine learning (ML) deployment specialist which works in partnership with industry leaders such as Google, Red Hat, IBM and Amazon Web Services. Seldon is a U.K. ”

Innovation 262

Innovation Artificial Inteligence Machine Learning Tools 262

Xebia

FEBRUARY 28, 2025

Universities have been pumping out Data Science grades in rapid pace and the Open Source community made ML technology easy to use and widely available. Both the tech and the skills are there: Machine Learning technology is by now easy to use and widely available. Big part of the reason lies in collaboration between teams.

Technical Review 182

Technical Review Weak Development Team Artificial Inteligence Machine Learning 182

TechCrunch

NOVEMBER 2, 2021

. “[We are] introducing a database for AI, specifically a storage layer that helps to very efficiently store the data and then stream this to machine learning applications or training models to do computer vision, audio processing, NLP (natural language processing) and so on,” Buniatyan explained.

Artificial Inteligence 307

Artificial Inteligence Part-Time VPE Applications Open Source 307

TechCrunch

NOVEMBER 16, 2020

The first product is an open source, synthetic machine learning library for developers that strips out personally identifiable information. to train AI with synthetic data. The result is a new artificial data set that is anonymized and safe to share across a business. Synthetaic raises $3.5M

Open Source 245

Open Source Data Artificial Inteligence Machine Learning 245

TechCrunch

MAY 17, 2023

Union AI , a Bellevue, Washington–based open source startup that helps businesses build and orchestrate their AI and data workflows with the help of a cloud-native automation platform, today announced that it has raised a $19.1 At the time, Lyft had to glue together various open source systems to put these models into production.

Artificial Inteligence 246

Artificial Inteligence Machine Learning Open Source Data 246

TechCrunch

NOVEMBER 16, 2020

Arrikto , a startup that wants to speed up the machine learning development lifecycle by allowing engineers and data scientists to treat data like code, is coming out of stealth today and announcing a $10 million Series A round. “We make it super easy to set up end-to-end machine learning pipelines. .

Artificial Inteligence 280

Artificial Inteligence Machine Learning Open Source Software Development 280

TechCrunch

NOVEMBER 28, 2022

It’s only as good as the models and data used to train it, so there is a need for sourcing and ingesting ever-larger data troves. But annotating and manipulating that training data takes a lot of time and money, slowing down the work or overall effectiveness, and maybe both. V7’s specific USP is automation.

Training 240

Training Data Technical Review Artificial Inteligence 240

OpenCredo

APRIL 20, 2021

Machine learning has great potential for many businesses, but the path from a Data Scientist creating an amazing algorithm on their laptop, to that code running and adding value in production, can be arduous. Ideally, this would be automatic, so your data scientists aren’t caught up training and retraining the same model.

Artificial Inteligence 140

Artificial Inteligence Machine Learning Software Review Open Source 140

CIO

MARCH 31, 2025

There are two main considerations associated with the fundamentals of sovereign AI: 1) Control of the algorithms and the data on the basis of which the AI is trained and developed; and 2) the sovereignty of the infrastructure on which the AI resides and operates.

Technical Review 117

Technical Review Artificial Inteligence Compliance Open Source 117

Github

NOVEMBER 8, 2023

First released in 2005, Git was still a new open source version control system when we founded GitHub. At GitHub, we know developers love to learn by doing and open source helps developers more rapidly adopt new technologies, integrate them into their workflows, and build what’s next.

Open Source 145

Open Source Generative AI Research Software Development 145

TechCrunch

JULY 12, 2022

Machine learning can provide companies with a competitive advantage by using the data they’re collecting — for example, purchasing patterns — to generate predictions that power revenue-generating products (e.g. At a high level, Tecton automates the process of building features using real-time data sources.

Artificial Inteligence 249

Artificial Inteligence Machine Learning Marketing Data Engineering 249

O'Reilly Media - Data

OCTOBER 31, 2019

Opening keynote. Jeff Dean explains why Google open-sourced TensorFlow and discusses its progress. Watch “ Opening keynote “ Accelerating ML at Twitter. Theodore Summe offers a glimpse into how Twitter employs machine learning throughout its product.

Artificial Inteligence 246

Artificial Inteligence Machine Learning IoT Open Source 246

Exadel

APRIL 13, 2021

Python is irreplaceable for Machine Learning, but running Python in production can be a problem if other parts of the system are written using C#. ML.NET is a Machine Learning library for C# that helps deliver Machine Learning features in a.NET environment more quickly. That is where ML.NET can help.

Artificial Inteligence 119

Artificial Inteligence Machine Learning Microservices Training 119

TechCrunch

MAY 10, 2022

“The major challenges we see today in the industry are that machine learning projects tend to have elongated time-to-value and very low access across an organization. “Given these challenges, organizations today need to choose between two flawed approaches when it comes to developing machine learning. .

Artificial Inteligence 235

Artificial Inteligence Machine Learning Off-The-Shelf Training 235

The Crazy Programmer

JUNE 14, 2024

It uses OpenAI’s Codex, a language model trained on a vast amount of code from public repositories on GitHub. Cons Privacy Concerns : Since it is trained on public repositories, there may be concerns about code privacy and intellectual property. Open Source : Being open-source, it is freely available for use and customization.

Programming 271

Programming Tools Software Review Artificial Inteligence 271

The Crazy Programmer

MARCH 15, 2021

It is frequently used in developing web applications, data science, machine learning, quality assurance, cyber security and devops. Python emphasizes on code readability and therefore has simple and easy to learn syntax. Python is often employed in developing machine language and deep learning applications.

Programming 317

Programming Open Source Trends Quality Assurance 317

TechCrunch

JUNE 30, 2022

. “The industry is struggling to maintain and scale fragmented, custom toolchains that differ across research and production, training and deployment, server and edge,” Modular CEO Chris Lattner told TechCrunch in an email interview. Image Credits: Modular.

System 228

System Artificial Inteligence Development Machine Learning 228

TechCrunch

NOVEMBER 4, 2021

WhyLabs , a machine learning startup that was spun out of the Allen Institute last year, helps data teams monitor the health of their AI models and the data pipelines that fuel them. Today, the post-deployment maintenance of machine learning models, I think, is a bigger challenge than the actual building and deployment of models.

Artificial Inteligence 250

Artificial Inteligence Machine Learning Open Source Engineering 250

Invid Group

MARCH 19, 2024

What Is Machine Learning Used For? By INVID With the rise of AI, the term “machine learning” has grown increasingly common in today’s digitally driven world, where it is frequently credited with being the impetus behind many technical breakthroughs. Let’s break it down. Take retail, for instance.

Artificial Inteligence 98

Artificial Inteligence Machine Learning Technical Review Artificial Intelligence 98

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.

Artificial Inteligence 122

Artificial Inteligence Machine Learning Analysis Energy 122

TechCrunch

MARCH 28, 2023

First, the declining cost of training cutting-edge machine learning tech and advances in research have propelled both in-house teams and startups alike. So why the massive influx of cash? DeepMind ).

Generative AI 248

Generative AI Sport Video Open Source 248

TechCrunch

NOVEMBER 22, 2021

As companies increasingly move to take advantage of machine learning to run their business more efficiently, the fact is that it takes an abundance of energy to build, test and run models in production. an energy-efficient solution for customers to build machine learning models using its solution.

Artificial Inteligence 249

Artificial Inteligence Energy Machine Learning Telecommunications 249