TechCrunch

NOVEMBER 22, 2021

The platform, dubbed Prescient, is used for diagnostics, workflow management and triage, taking away the stress of managing software and hardware technology from physicians and hospitals — and allowing them to focus on patient care. It also includes features that makes it possible to include diagnostic annotations and reports. “We

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Artificial Inteligence Artificial Intelligence Technical Review Healthcare 242

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

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. based Omnitek and Altera to double down on FPGA-based solutions for video and AI applications.

Marketing 215

Marketing Open Source Off-The-Shelf Artificial Inteligence 215

TechCrunch

OCTOBER 15, 2020

The company’s goal is to develop software that can identify almost any kind of sound and be used in a wide range of smart hardware, including phones, speakers and cars, co-founder and chief executive Yoonchang Han told TechCrunch. ”

Hardware 247

Hardware Telecommunications Automotive Training 247

TechCrunch

SEPTEMBER 12, 2022

In 2017, three entrepreneurs — Chris Hazard, Mike Resnick and Mike Capps — came together to launch a platform for building AI and machine learning tools geared toward the enterprise. Hazard and Resnick had been working on various AI and game projects for the U.S.

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Artificial Inteligence Machine Learning Training Games 206

TechCrunch

SEPTEMBER 20, 2022

. “ DynamoFL was founded by two MIT Department of Electrical Engineering and Computer Science PhDs, Christian Lau and myself, who spent the last five years working on privacy-preserving machine learning and hardware for machine learning,” CEO Vaikkunth Mugunthan told TechCrunch in an email interview.

Industry 186

Industry Artificial Inteligence Machine Learning Automotive 186

CIO

OCTOBER 3, 2024

Rather than pull away from big iron in the AI era, Big Blue is leaning into it, with plans in 2025 to release its next-generation Z mainframe , with a Telum II processor and Spyre AI Accelerator Card, positioned to run large language models (LLMs) and machine learning models for fraud detection and other use cases.

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Artificial Inteligence Generative AI Machine Learning Enterprise 210

TechCrunch

FEBRUARY 9, 2022

And it now has some 1,700 customers using its tech in a range of B2B and B2C services in verticals like retail, transportation and travel, manufacturing and logistics, healthcare, and any use case where capturing an image of you or something else will spur another action. are currently customers. “Motion blur is one of the hardest. .

Technology 238

Technology Data Artificial Inteligence Retail 238

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 Development 76

Hacker Earth Developers Blog

MARCH 5, 2019

IoT ecosystems consist of internet-enabled smart devices that have integrated sensors, processors, and communication hardware to capture, analyze, and send data from their immediate environments. Healthcare. By 2020, the smart healthcare market value is predicted to be US$ 169.32 Smart Home. Industrial IoT.

IoT 283

IoT Internet Applications Innovation 283

TechCrunch

MARCH 22, 2022

Eko’s hardware consists of digital stethoscopes that boast a few basic bells and whistles, like noise-canceling technology or the ability to record and visualize heartbeats. Eko has been working toward developing machine learning-based analysis capability. It’s not exactly a “machine learning brain” yet.

Machine Learning 188

Machine Learning Artificial Inteligence Healthcare Analysis 188

Palo Alto Networks

AUGUST 18, 2021

According to the 2021 Unit 42 Ransomware Threat Report , the healthcare sector was the most targeted vertical for ransomware in 2020. The report noted that ransomware operators likely targeted the sector, knowing that healthcare organizations were under enormous pressure from an influx of COVID-19 patients. the previous year.

Healthcare 95

Healthcare Organization Backup Systems Review 95

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 158

Data Machine Learning Artificial Inteligence Training 158

AWS Machine Learning - AI

NOVEMBER 27, 2024

Across diverse industries—including healthcare, finance, and marketing—organizations are now engaged in pre-training and fine-tuning these increasingly larger LLMs, which often boast billions of parameters and larger input sequence length. For this post, we demonstrate SMP implementation on SageMaker trainings jobs.

Training 91

Training Artificial Inteligence AWS Machine Learning 91

Altexsoft

MAY 20, 2020

Namely, these layers are: perception layer (hardware components such as sensors, actuators, and devices; transport layer (networks and gateway); processing layer (middleware or IoT platforms); application layer (software solutions for end users). Perception layer: IoT hardware. How an IoT system works. Source: IoT Analytics.

IoT 141

IoT Azure AWS Transportation 141

CIO

AUGUST 20, 2024

Healthcare Healthcare companies can leverage edge intelligence to enhance patient outcomes and increase efficiency while gaining agility and resiliency to meet growing demands. Dell NativeEdge helps cities protect and secure data and optimize edge management, reducing the resources required to modernize and maintain city systems.

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Artificial Inteligence Healthcare Retail Artificial Intelligence 176

TechCrunch

SEPTEMBER 22, 2021

The company, founded in January of this year, is in the process of scientifically validating The Blue Box – which includes both hardware and artificial intelligence components. So far, Benet says The Blue Box has a minimum viable hardware product that’s “fully functional.” .

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Testing Artificial Inteligence Study Technical Review 188

John Snow Labs

DECEMBER 2, 2024

This summarization capability not only boosts efficiency but also makes sure that no critical details are overlooked, thereby supporting optimal patient care and enhancing healthcare outcomes. The models are deployable on commodity hardware, while still delivering state-of-the-art accuracy.

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Artificial Inteligence CTO Software Review AWS 52

TechCrunch

OCTOBER 19, 2022

The multidecade rise in healthcare costs isn’t expected to reverse course any time soon. It’s one of the startups participating in the TechCrunch Disrupt Battlefield 200, and it uses machine learning to try to identify fraud, waste and abuse in healthcare claims , Kyle reports.

Retail 222

Retail Artificial Inteligence Insurance Blockchain 222

TechCrunch

MAY 21, 2021

There are still many inefficiencies in managing M&A, but technologies such as artificial intelligence, especially machine learning, are helping to make the process faster and easier. Perhaps that will unlock more late-stage capital for hardware-focused upstarts. Digital health in the U.S.

Marketing 244

Marketing Technical Review Software Review Windows 244

CIO

AUGUST 4, 2023

The automation engineer role Automation has been a cornerstone of the manufacturing industry for decades, but it’s relatively new to the business, healthcare, and finance industries. Sometimes this will include hardware or software, but other times you might be asked to automate service or business processes.

Engineering 147

Engineering Artificial Inteligence Quality Assurance Hardware 147

AWS Machine Learning - AI

MARCH 13, 2025

The opportunity for open-ended conversation analysis at enterprise scale MaestroQA serves a diverse clientele across various industries, including ecommerce, marketplaces, healthcare, talent acquisition, insurance, and fintech. The adoption of Amazon Bedrock proved to be a game changer for MaestroQAs compact development team.

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Generative AI CTO Coach AWS Artificial Inteligence 95

Altexsoft

AUGUST 31, 2020

The adoption of technologies supports healthcare organizations on different levels: from population monitoring, health records, diagnostics, and clinical decisions, to drug procurements, and accounting. Technologies not only support actual treatment and data management, but also help optimize healthcare operations all over the industry.

Healthcare 72

Healthcare Analytics Examples Data 72

CIO

MARCH 27, 2024

Some industries are more affected than others, such as healthcare, financial services, and higher education, where medical records, financial information, and academic records need to be protected for a lifetime. That includes development of devices, software for controlling the hardware, cloud services, and application development.

Government 210

Government Machine Learning Artificial Inteligence Research 210

TechCrunch

JUNE 28, 2022

Confidential computing protects data by performing computation in a hardware-based component called a trusted execution environment (TEE). And AMD and Google offer confidential virtual machines via Google Cloud. The new cash brings Opaque’s total raised to $31.9

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System Data Analytics Google Cloud 228

N2Growth Blog

JUNE 6, 2024

Key technologies in this digital landscape include artificial intelligence (AI), machine learning (ML), Internet of Things (IoT), blockchain, and augmented and virtual reality (AR/VR), among others. These disruptive innovations have a massive impact across various sectors, such as healthcare, finance, retail, education, and travel.

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Artificial Inteligence Technical Review Strategic Planning Blockchain 103

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

CIO

OCTOBER 6, 2022

While HPC and AI are expected to benefit most industries, the fields of healthcare, manufacturing and higher education and research (HER) and Finance stand to gain perhaps the most due to the high-intensity nature of the workloads involved. Optimising HPC and AI Workloads.

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Artificial Inteligence Industry Innovation Artificial Intelligence 148

TechCrunch

FEBRUARY 8, 2022

But core to the program is “motivational” coaching — which is provided by (human) healthcare professionals who, while they are dispensing advice/classes digitally, are certainly not made of pixels. “The holy grail of all of this is preventing frailty before it happens,” adds Cartagena.

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Coaching Exercises Programming B2C 215

Cloudera

OCTOBER 30, 2018

Federated Learning is a technology that allows you to build machine learning systems when your datacenter can’t get direct access to model training data. To train a machine learning model you usually need to move all the data to a single machine or, failing that, to a cluster of machines in a data center.

Machine Learning 40

Machine Learning Artificial Inteligence IoT Healthcare 40

CIO

APRIL 7, 2023

Additionally, some industries, such as healthcare and finance, must comply with stringent regulations regarding data privacy and security. Experienced advisors can help guide organizations size up a security strategy with minimal disruption to existing systems and approaches.

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Artificial Inteligence Generative AI Enterprise Meeting 158

Palo Alto Networks

OCTOBER 1, 2024

That’s why Palo Alto Networks is using NVIDIA’s groundbreaking GPU and Triton technology to improve the efficiency and accuracy of our DLP machine learning models, leading to faster response times and better customer outcomes. Utilizing generative AI for synthetic data creation. All data used in this example are with synthetic data.

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Artificial Inteligence Network Enterprise Data 105

Altexsoft

APRIL 23, 2021

The world of information technology is advancing rapidly, contributing to MedTech innovation and influencing the development of a greater number of connected medical devices that are used to generate, accumulate, send, and analyze huge volumes of healthcare data. Statistics source: Healthcare IT News. High healthcare costs.

Healthcare 64

Healthcare Internet IoT Systems Review 64

AWS Machine Learning - AI

MARCH 4, 2024

As enterprise customers rely on Claude across industries like healthcare, finance, and legal research, reducing hallucinations is essential for safety and performance. In this role, Swami oversees all AWS Database, Analytics, and AI & Machine Learning services.

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Generative AI AWS Artificial Inteligence Innovation 138

AWS Machine Learning - AI

MARCH 3, 2025

Their applications span a variety of sectors, including customer service, healthcare, education, personal and business productivity, and many others. Under Application and OS Images (Amazon Machine Image) , select an AWS Deep Learning AMI that comes preconfigured with NVIDIA OSS driver and PyTorch. Amazon Linux 2).

AWS 71

AWS Artificial Inteligence Technical Review Systems Review 71

Cloudera

MAY 5, 2022

Fraud, waste, and abuse (FWA) in government is a constant, multi-billion dollar issue that challenges agency leaders at all levels and across all sectors, from healthcare to education to taxation to Social Security. These platforms become even more powerful when integrated with AI and machine learning, as well as other forms of automation.

Data 101

Data Machine Learning Artificial Inteligence Analytics 101

Apiumhub

MAY 15, 2024

Since its conception in the mid-20th century, AI has evolved considerably thanks to advances in machine learning, neural networks, and complex algorithms, enabling its application in increasingly sophisticated fields. This includes activities such as pattern recognition, learning, decision-making, and problem-solving.

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Artificial Inteligence Artificial Intelligence Technical Review Generative AI 83