InfoWorld

MARCH 12, 2024

While graphics processing units (GPUs) once resided exclusively in the domains of graphic-intensive games and video streaming, GPUs are now equally associated with and machine learning (ML). This is especially true for large language models (LLMs) and the generative AI applications built on LLMs.

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Artificial Inteligence Machine Learning Applications Artificial Intelligence 77

TechCrunch

OCTOBER 25, 2022

Unlike conventional chips, theirs was destined for devices at the edge, particularly those running AI workloads, because Del Maffeo and the rest of the team perceived that most offline, at-the-edge computing hardware was inefficient and expensive. Axelera’s test chip for accelerating AI and machine learning workloads.

Hardware 240

Hardware Machine Learning Artificial Inteligence Blockchain 240

TechCrunch

DECEMBER 12, 2023

Ensuring that usually entails deploying petri-dish-based microbiological monitoring, hardware and waiting for tests to return from labs. The factories that process our food and beverages (newsflash: no, it doesn’t come straight from a farm) have to be kept very clean, or we’d all get very ill, to be blunt. All rights reserved.

Machine Learning 203

Machine Learning Artificial Inteligence Hardware Testing 203

TechCrunch

JANUARY 7, 2022

The company creates optical sensors and novel classification systems based on machine learning algorithms to identify and track insects in real time. That data is turned into audio and analyzed by machine learning algorithms in the cloud. The key here: real-time information. The impact of this technology is clear.

Machine Learning 232

Machine Learning Artificial Inteligence Travel Wireless 232

CIO

JUNE 6, 2023

All this has a tremendous impact on the digital value chain and the semiconductor hardware market that cannot be overlooked. Hardware innovations become imperative to sustain this revolution. So what does it take on the hardware side? For us, the AI hardware needs are in the continuum of what we do every day.

Hardware 191

Hardware Artificial Inteligence Applications Wireless 191

TechCrunch

AUGUST 30, 2022

Mavenoid , a Swedish company that provides both human- and AI-enabled support and troubleshooting tools for hardware companies, has raised $30 million in a series B round of funding. Hardware issues are repetitive, difficult, and time-consuming to fix. ” Technical support. .”

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Technical Support Technical Cofounder Hardware Company 246

TechCrunch

SEPTEMBER 22, 2021

technology, machine learning, hardware, software — and yes, lasers! Founded by a team whose backgrounds include physics, stem cell biology, and machine learning, Cellino operates in the regenerative medicine industry. — could eventually democratize access to cell therapies.

Machine Learning 220

Machine Learning Artificial Inteligence Off-The-Shelf Biotech 220

TechCrunch

APRIL 21, 2022

“Using this legacy hardware to cultivate meat requires one to reengineer the cells. Our approach and core conviction is that it is actually easier, and ultimately better, to design new hardware systems aimed to foster the growth around the cells, rather than trying to fit these cells to existing engineering systems.”

Hardware 233

Hardware Off-The-Shelf Biotech Pharmaceuticals 233

Cloudera

MAY 19, 2021

In the previous blog post in this series, we walked through the steps for leveraging Deep Learning in your Cloudera Machine Learning (CML) projects. As a machine learning problem, it is a classification task with tabular data, a perfect fit for RAPIDS. Introduction. See < [link] > for more details.

Machine Learning 137

Machine Learning Artificial Inteligence Engineering Training 137

CIO

APRIL 12, 2024

These roles include data scientist, machine learning engineer, software engineer, research scientist, full-stack developer, deep learning engineer, software architect, and field programmable gate array (FPGA) engineer. It is used to execute and improve machine learning tasks such as NLP, computer vision, and deep learning.

Open Source 306

Open Source Machine Learning Artificial Inteligence Generative AI 306

TechCrunch

JUNE 22, 2021

Everyone knows the expression “hardware is hard,” so it’s interesting to see Merlyn addressing its problem with a hardware-forward approach. Nitta was very ready with his defense for this one: “I’ll tell you why we built our own hardware,” he told me.

Hardware 244

Hardware Education Software Off-The-Shelf 244

TechCrunch

MAY 25, 2022

began demoing an accelerator chipset that combines “traditional compute IP” from Arm with a custom machine learning accelerator and dedicated vision accelerator, linked via a proprietary interconnect, To lay the groundwork for future growth, Sima.ai by the gap he saw in the machine learning market for edge devices. .

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Artificial Inteligence Machine Learning Hardware Architecture 238

CIO

JANUARY 24, 2024

Classical machine learning: Patterns, predictions, and decisions Classical machine learning is the proven backbone of pattern recognition, business intelligence, and rules-based decision-making; it produces explainable results. Don’t use generative AI for a problem that classical machine learning has already solved.

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Artificial Inteligence Generative AI ChatGPT Machine Learning 203

CIO

DECEMBER 13, 2023

Industrializing Machine Learning – A rapidly evolving ecosystem of software and hardware solutions accelerates and de-risks the development, deployment, and maintenance of machine learning solutions.

Generative AI 246

Generative AI Trends Machine Learning Artificial Inteligence 246

Dell EMC

SEPTEMBER 23, 2020

When it comes to training and inference workloads for machine learning models, performance is king. MLPerf is a machine learning benchmark suite from the open source community that sets a new industry standard for benchmarking the performance of ML hardware, software and services. In a word, look to MLPerf.

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Artificial Inteligence Machine Learning Performance Technology 77

O'Reilly Media - Data

JULY 19, 2018

In this episode of the Data Show , I spoke with Andrew Feldman, founder and CEO of Cerebras Systems , a startup in the blossoming area of specialized hardware for machine learning. Since the release of AlexNet in 2012 , we have seen an explosion in activity in machine learning , particularly in deep learning.

Hardware 111

Hardware Innovation Machine Learning Artificial Inteligence 111

Openxcell

APRIL 21, 2023

In today’s fast-paced world, Machine Learning is quickly changing the way various industries and our daily lives function. This engaging blog post dives into the exciting world of Machine Learning, shedding light on what it is, why it matters, its history, types, core principles, and applications.

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Artificial Inteligence Machine Learning Training Performance 52

DataRobot

APRIL 21, 2022

Machine learning, and especially deep learning, has become increasingly more accurate in the past few years. Machine learning has been obsessed with accuracy — and for good reason. As a hardware-independent metric, they recommend the amount of floating-point operations (FLOPs) to measure model size.

Hardware 145

Hardware Machine Learning Artificial Inteligence Metrics 145

O'Reilly Media - Ideas

APRIL 18, 2019

Kim Hazelwood discusses the hardware and software Facebook has designed to meet its scale needs. Continue reading Applied machine learning at Facebook.

Machine Learning 79

Machine Learning Artificial Inteligence Hardware Meeting 79

CIO

DECEMBER 6, 2023

Without access to the expertise and insights you need to manage fast-evolving hardware and software infrastructure as efficiently as possible, it can be an uphill battle to keep the lights on – even before you embark on new initiatives. And hardware cannot simply be replaced with software-driven infrastructure or hardware as a service.

Technology 254

Technology Hardware Infrastructure Sustainability 254

d2iq

JANUARY 18, 2022

In this post , we’ll discuss how D2iQ Kaptain on Amazon Web Services (AWS) directly addresses the challenges of moving machine learning workloads into production, the steep learning curve for Kubernetes, and the particular difficulties Kubeflow can introduce.

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Artificial Inteligence Machine Learning AWS Weak Development Team 72

TechCrunch

MARCH 27, 2023

But WaveOne’s website was shut down around January, and several former employees , including one of WaveOne’s co-founders , now work within Apple’s various machine learning groups. YouTube servers) while end-users’ machines handle the decompressing. Investors saw the potential, apparently.

Video 278

Video Machine Learning Artificial Inteligence Hardware 278

O'Reilly Media - Ideas

MAY 21, 2019

Companies successfully adopt machine learning either by building on existing data products and services, or by modernizing existing models and algorithms. I will highlight the results of a recent survey on machine learning adoption, and along the way describe recent trends in data and machine learning (ML) within companies.

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Machine Learning Artificial Inteligence Technical Review Technology 101

CIO

JANUARY 4, 2024

Setting up Articul8 as a separate company will help Intel stimulate demand for its AI hardware, including Xeon scalable processors and Gaudi accelerators — but the Articul8 platform also supports a range of hybrid infrastructure alternatives, including Nvidia’s. AMD too has been building up the software component of its AI stack.

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Enterprise Company Generative AI Telecommunications 264

O'Reilly Media - Ideas

NOVEMBER 13, 2018

As the data community begins to deploy more machine learning (ML) models, I wanted to review some important considerations. We recently conducted a survey which garnered more than 11,000 respondents—our main goal was to ascertain how enterprises were using machine learning. Let’s begin by looking at the state of adoption.

Machine Learning 92

Machine Learning Artificial Inteligence Software Review Conference 92

O'Reilly Media - Ideas

FEBRUARY 4, 2019

In a recent survey , we explored how companies were adjusting to the growing importance of machine learning and analytics, while also preparing for the explosion in the number of data sources. As interest in machine learning (ML) and AI grow, organizations are realizing that model building is but one aspect they need to plan for.

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Artificial Inteligence Artificial Intelligence Machine Learning Enterprise 111

InfoQ Culture Methods

FEBRUARY 22, 2022

Test suites may be computationally expensive, compete with each other for available hardware, or simply be so large as to cause considerable delay until their results are available. The article explores optimizing test execution, saving machine resources, and reducing feedback time to developers.

Machine Learning 117

Machine Learning Artificial Inteligence Testing Development 117

TechCrunch

AUGUST 24, 2023

Bringing Modular’s total raised to $130 million, the proceeds will be put toward product expansion, hardware support and the expansion of Modular’s programming language, Mojo, CEO Chris Lattner says. times faster versus on their native frameworks, Lattner claims. . ” Ambitious much? It’s already had an impact.

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Technical Cofounder Tools Hardware Machine Learning 197

CIO

OCTOBER 16, 2023

Predictive AI can help break down the generational gaps in IT departments and address the most significant challenge for mainframe customers and users: operating hardware, software, and applications all on the mainframe. Predictive AI utilizes machine learning algorithms to learn from historical data and identify patterns and relationships.

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Artificial Inteligence Artificial Intelligence Machine Learning Hardware 284

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. Feast instead reuses existing cloud or on-premises hardware, spinning up new resources when needed.

Artificial Inteligence 249

Artificial Inteligence Machine Learning Marketing Data Engineering 249

CIO

MARCH 22, 2023

Enter the new class ML data scientists require large quantities of data to train machine learning models. Inferencing on encrypted data is prohibitively slow for most applications, even with custom hardware. Then the trained models become consumers of vast amounts of data to gain insights to inform business decisions.

Data 240

Data Machine Learning Artificial Inteligence Training 240

UruIT

JULY 23, 2019

Most recommended development and deployment platforms for machine learning projects. Are you getting started with Machine Learning? There’s a forecasted demand for Machine Learning among all kinds of industries. Innovative machine learning products and services on a trusted platform.

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Artificial Inteligence Machine Learning Azure Software Review 81

Apiumhub

OCTOBER 16, 2018

Machine learning is a branch of computer science that uses statistical methods to give computers the ability to self-improve without direct human supervision. Machine learning frameworks have changed the way web development companies utilize data. 5 Best Machine Learning Frameworks for Web Development.

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Artificial Inteligence Machine Learning Web Development Software Review 75

TechCrunch

JUNE 30, 2022

Modular’s other co-founder, Tim Davis, is accomplished in his own right, having helped set the vision, strategy and roadmaps for Google machine learning products spanning small research groups to production systems. Image Credits: Modular.

System 228

System Artificial Inteligence Development Machine Learning 228

Altexsoft

MARCH 30, 2020

Major cons: the need for organizational changes, large investments in hardware, software, expertise, and staff training. the fourth industrial revolution driven by automation, machine learning, real-time data, and interconnectivity. Similar to preventive maintenance, PdM is a proactive approach to servicing of machines.

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Artificial Inteligence Machine Learning Technical Review IoT 72

TechCrunch

DECEMBER 6, 2022

MetalSoft allows companies to automate the orchestration of hardware, including switches, servers and storage, making them available to users that can be consumed on-demand. Hostway developed software to power cloud service provider hardware, which went into production in 2014.

Infrastructure 184

Infrastructure Hardware Data Center Storage 184

TechCrunch

APRIL 20, 2023

Venturo, a hobbyist Ethereum miner, cheaply acquired GPUs from insolvent cryptocurrency mining farms, choosing Nvidia hardware for the increased memory (hence Nvidia’s investment in CoreWeave, presumably). Initially, CoreWeave was focused exclusively on cryptocurrency applications. Intrator says it has over 30 members.)

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Artificial Inteligence Cloud Generative AI Google Cloud 244