CIO

AUGUST 11, 2023

As an IT leader, you probably haven’t spent a lot of time obsessing over the microprocessors powering your corporate computing hardware. And as with DPUs, do so in a more energy-efficient manner. This includes the architecture choices you make as you lean into AI tools and other innovations to modernize and transform your organization.

Generative AI 130

Generative AI Artificial Inteligence Systems Review Artificial Intelligence 130

CableLabs

JULY 18, 2023

But those interoperable network architectures aren’t built overnight. That makes energy savings extremely important for operators. Some may turn off equipment during off-peak hours to conserve energy, but they must still maintain quality of service (QoS). First, their technical specifications need to be agreed upon.

Energy 52

Energy Architecture Testing Mobile 52

Seerene

JANUARY 4, 2019

Beyond the way that AI could absorb mundane but important tasks like writing source code documentation, thus freeing the human individual for tasks engaging greater degrees of creativity and intuition, it also displays promise for revolutionising software design, business and software architecture, and a final alignment of the two.

Artificial Inteligence 40

Artificial Inteligence Artificial Intelligence Machine Learning Software Engineering 40

Capgemini

JUNE 14, 2023

In a more formal definition, RIC is an essential 5G network architecture element responsible for facilitating network intelligence, flexibility, and optimization. The RIC architecture promotes an open ecosystem through standardized interfaces, such as the E2 interface, O1 Interface, etc., which ORAN specifications define.

Innovation 52

Innovation Engineering Energy Network 52

TechCrunch

AUGUST 25, 2022

” “The legacy videoconferencing players are struggling to innovate across the disruptive shift from client-based messaging architectures to low-latency, hardware-accelerated, cloud-based real-time AI on real-time communication streams,” Green said via email. “There has been a slow rollout of AI features (e.g.,

Software Review 247

Software Review Meeting Systems Review Technical Review 247

O'Reilly Media - Ideas

DECEMBER 6, 2018

To assess the state of adoption of machine learning (ML) and AI, we recently conducted a survey that garnered more than 11,000 respondents. Novices and non-experts have also benefited from easy-to-use, open source libraries for machine learning. Machine learning researchers are constantly exploring new algorithms.

Technology 78

Technology Artificial Inteligence Machine Learning Hardware 78

O'Reilly Media - Ideas

JUNE 11, 2019

Over the past decade, AI and machine learning (ML) have become extremely active research areas: the web site arxiv.org had an average daily upload of around 100 machine learning papers in 2018. There’s also exciting news on the hardware front. Recent progress in natural language models. Source: Ben Lorica.

Artificial Inteligence 107

Artificial Inteligence Tools Machine Learning Open Source 107

OTS Solutions

DECEMBER 4, 2023

Private cloud architecture is an increasingly popular approach to cloud computing that offers organizations greater control, security, and customization over their cloud infrastructure. What is Private Cloud Architecture? Why is Private Cloud Architecture important for Businesses?

Architecture 130

Architecture Cloud Disaster Recovery Scalability 130

Altexsoft

AUGUST 9, 2019

Let’s examine one of the most cutting-edge technologies out there – machine learning – and how the need for reliable, cost-efficient processing power has facilitated the development of software-defined networking. Artificial Intelligence and Machine Learning. Why Machine Learning Needs SD-WAN.

Artificial Inteligence 13

Artificial Inteligence WAN Machine Learning Artificial Intelligence 13

Altexsoft

MARCH 30, 2020

The average cost of unplanned downtime in energy, manufacturing, transportation, and other industries runs at $250,000 per hour or $2 million per working day. Major cons: the need for organizational changes, large investments in hardware, software, expertise, and staff training. IT infrastructure. IIoT system.

Artificial Inteligence 72

Artificial Inteligence Machine Learning Technical Review IoT 72

Gorilla Logic

JUNE 5, 2018

This type of software is very unique because it’s the closest one to the hardware. Since embedded systems are task-specific, their hardware resources are designed to be just enough for what is needed, allowing lower price points. I’m sure your coffee machine doesn’t need a quad-core processor to operate, right?

IoT 47

IoT Software Serverless AWS 47

Altexsoft

AUGUST 12, 2020

This article describes IoT through its architecture, layer to layer. Before we go any further, it’s worth pointing out that there is no single, agreed-upon IoT architecture. It varies in complexity and number of architectural layers depending on a particular business task. Let’s see how everyday magic works behind the scenes.

IoT 140

IoT Architecture Wireless Transportation 140

Altexsoft

MAY 20, 2020

IoT architecture layers. 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.

IoT 141

IoT Azure AWS Transportation 141

Cloudera

NOVEMBER 28, 2023

It offers a fully featured open data lakehouse with services including data warehousing, machine learning, and data engineering, in hybrid and multi-cloud environments. These unmatched data services provide the foundation for organizations to not only manage their data efficiently but also derive valuable insights from it.

Data 84

Data Scalability Analytics Quality Assurance 84

O'Reilly Media - Ideas

DECEMBER 1, 2020

Why machine learning models fail in the real world , and why it’s a very difficult problem to fix: Any set of training data can lead to a huge number of models with similar behavior on the training data, but with very different performance on real-world data. For example, suggesting suicide as a solution to depression.

Trends 85

Trends Artificial Inteligence PHP Machine Learning 85

Altexsoft

SEPTEMBER 16, 2021

Digital twin system architecture. A digital twin system contains hardware and software components with middleware for data management in between. Hardware components. The hardware part also includes actuators, converting digital signals into mechanical movements, network devices like routers, edge servers, and IoT gateways, etc.

IoT 64

IoT Technical Review Technical Advisors Energy 64

d2iq

JANUARY 23, 2023

Edge devices in combination with AI and machine learning are seen as giving rise to the next Industrial Revolution, characterized by the decentralization of computing, communications, and business processes. Hyperconnected networks , says PwC, are pushing closer and closer to ubiquitous connectivity. also is a key element of the U.S.

Artificial Inteligence 69

Artificial Inteligence Artificial Intelligence IoT Data Center 69

Hu's Place - HitachiVantara

JULY 24, 2019

AI or Machine Learning requires the computation of an enormous amount of data and is very compute intensive. One of the limitations for AI and Machine Learning is the limitations of today’s computers. CPUs are built on the Von Neumann architecture which connects a processing unit to a memory over a bus.

Artificial Inteligence 40

Artificial Inteligence Artificial Intelligence Machine Learning Hardware 40

O'Reilly Media - Ideas

SEPTEMBER 1, 2021

Embedded Machine Learning for Hard Hat Detection is an interesting real-world application of AI on the edge. FaunaDB is a distributed document database designed for serverless architectures. Facebook’s Time cards are an open-source (code and hardware) solution for accurate time keeping. AI and Data.

Trends 125

Trends Wireless IoT Research 125

Altexsoft

JULY 9, 2021

Edge computing architecture. IoT system architectures that outsource some processing jobs to the periphery can be presented as a pyramid with an edge computing layer at the bottom. Hardware and software offerings from main edge computing providers. You can get familiar with the list of Amazon partner hardware here.

IoT 59

IoT Azure Hardware USP 59

Altexsoft

SEPTEMBER 10, 2022

The Internet of Things (IoT) and machine learning that are powering smart hotel applications are accessible to everyone bold enough to try. Here, we will explain what comprises the smart hotel and how you can join the future by establishing an IoT architecture. Hotels can’t usually control the energy each room is consuming.

Hotels 59

Hotels IoT Infrastructure Technical Review 59

Palo Alto Networks

MARCH 1, 2023

Top Ways to Secure 5G: Zero Trust: With a Zero Trust architecture , there is no notion of implicit trust for the growing volume of devices and use cases on 5G. Effective 5G security must protect all layers, all locations and all threats, including advanced threats. That is a true Zero Trust approach.

Strategy 48

Strategy IoT Network Cloud 48

Infinidat

JANUARY 12, 2021

System architectures, metadata handling, storage media, data placement algorithms, and quality of service controls can all have a significant effect on performance. More efficient designs can significantly increase performance density, which allows much smaller systems that use less energy and floor space to handle an enterprise's workloads.

Storage 59

Storage Enterprise Artificial Inteligence Technical Support 59

Hu's Place - HitachiVantara

OCTOBER 9, 2018

DS7000 Scalable Servers Hitachi Advanced Server DS7000 Series of Scalable Servers are built with a unique modular architecture which can be configured and scaled to meet the needs of a wide variety of application workloads. GPUs, on the other hand, use a massively parallel architecture aimed at handling multiple functions at the same time.

3D 61

3D Scalability Storage Technology 61

Altexsoft

SEPTEMBER 28, 2021

machine learning , DevOps and system administration, automated-testing, software prototyping, and. This compact, low-level language runs on a Python virtual machine (PVM), which is software that mimics the work of the real hardware. Python is not associated with a particular industry or domain. many others.

Weak Development Team 94

Weak Development Team Programming Software Review Systems Review 94

DataRobot

APRIL 21, 2022

Machine learning, and especially deep learning, has become increasingly more accurate in the past few years. To illustrate the energy needed in deep learning, let’s make a comparison. Machine learning has been obsessed with accuracy — and for good reason. Measure efficiency, not only accuracy.

Hardware 145

Hardware Machine Learning Artificial Inteligence Metrics 145

Confluent

OCTOBER 10, 2019

Energy providers connect houses to buy or sell their own solar energy and provide additional digital services. Machine learning plays a huge role in many of these use cases, regardless of the industry, and you can read Using Apache Kafka to Drive Cutting-Edge Machine Learning for more insights.

IoT 20

IoT Internet Weak Development Team Scalability 20

Altexsoft

MAY 14, 2021

The concept of Big Data isn’t new: It has been the desired fruit for several decades already as the capabilities of software and hardware have made it possible for companies to successfully manage vast amounts of complex data. Hadoop architecture layers. Also, Spark supports machine learning (MLlib), SQL, graph processing (GraphX).

Big Data 78

Big Data Analytics Tools Applications 78

AWS Machine Learning - AI

NOVEMBER 30, 2023

Trainium2’s performance, scale, and energy efficiency are some of the reasons why Anthropic has chosen to train its models on AWS, and will use Trainium2 for its future models. Carrier is making more precise energy analytics and insights accessible to customers so they reduce energy consumption and cut carbon emissions.

Generative AI 123

Generative AI AWS Artificial Inteligence Software Review 123

O'Reilly Media - Ideas

APRIL 13, 2023

Serverless APIs are the culmination of the cloud commoditizing the old hardware-based paradigm. This means making the hardware supply chain into a commodity if you make PCs, making PCs into commodities if you sell operating systems, and making servers a commodity by promoting serverless function execution if you sell cloud.

Technical Review 138

Technical Review Authentication Storage Serverless 138