O'Reilly Software

AUGUST 29, 2018

The Call for Code Challenge in 2018 is a competition that rewards participants who come up with the applications that make the greatest impact. Register for the 2018 developer challenge at the Call for Code site. See the IBM Code Patterns site for more information.

Code 80

Code Artificial Intelligence Development Blockchain 80

ACM Sigarch

APRIL 26, 2018

Dataflow Processing Unit (DPU) is the product of Wave Computing, a Silicon Valley company which is revolutionizing artificial intelligence and deep learning with its dataflow-based solutions. More details can be found in their recent talk in Scaled Machine Learning in March 2018.

Hardware 100

Hardware Artificial Intelligence Architecture Google 100

Abhishek Tiwari

DECEMBER 27, 2017

There are several emerging data trends that will define the future of ETL in 2018. In 2018, we anticipate that ETL will either lose relevance or the ETL process will disintegrate and be consumed by new data architectures. With the arrival of new cloud-native tools and platform, ETL is becoming obsolete. More details on this approach.

Big Data 49

Big Data Artificial Intelligence Storage Hardware 49

O'Reilly

APRIL 5, 2023

The notion that artificial intelligence will help us prepare for the world of tomorrow is woven into our collective fantasies. In 2018, Reuters reported that Amazon had scrapped an AI recruiting tool that had developed a bias against female applicants. That’s because AI algorithms are trained on data.

Artificial Intelligence 123

Artificial Intelligence Energy Government Virtualization 123

All Things Distributed

DECEMBER 18, 2017

In January 2018, customers will be able to connect via Equinix Paris in January and later in the year via Interxion Paris. To give customers the best experience when connecting to the new Region, today we are also announcing the availability of AWS Direct Connect.

AWS 84

AWS Artificial Intelligence Education Energy 84

KeyCDN

MARCH 14, 2019

Serverless Applications Managing your own server is so 2018. Customer Service Chatbots Speaking of which, artificial intelligence has evolved to the point that bots can answer customers’ questions and solve problems more efficiently than humans.

Development 101

Development Blockchain Serverless Social Media 101

O'Reilly

NOVEMBER 28, 2023

The field may have evolved from traditional statistical analysis to artificial intelligence, but its overall shape hasn’t changed much. We haven’t found the source, though in 2018, Gartner wrote that 85% of AI projects “deliver erroneous outcomes.” That’s not the same as failure, and 2018 significantly predates generative AI.

Open Source 137

Open Source Google Artificial Intelligence Infrastructure 137

All Things Distributed

MAY 21, 2018

And artificial intelligence makes it possible to break down tasks in such a way that everyone contributes what he or she can do best. At the end of 2018, voice (input) will have already significantly changed the way we develop devices and apps. These new offerings are organized on platforms or networks, and less so in processes.

Artificial Intelligence 67

Artificial Intelligence Technology Technology IoT 67

O'Reilly

APRIL 23, 2024

They published the original Transformer paper (not quite coincidentally called “Attention is All You Need”) in 2017, and released BERT , an open source implementation, in late 2018, but they never went so far as to build and release anything like OpenAI’s GPT line of services.

Social Media 135

Social Media Google Internet Internet 135

CSS - Tricks

MARCH 13, 2019

Another strategy for handling dynamic images is to crop them intelligently to avoid deleting important content and refocus on (or re-center) the primary content. However, you can take advantage of the artificial intelligence offered by open-source tools or SaaS companies that specialize in image management. That’s hard to do.

Media 73

Media Artificial Intelligence Strategy Open Source 73

Testsigma

FEBRUARY 12, 2021

The usage by advanced techniques such as RPA, Artificial Intelligence, machine learning and process mining is a hyper-automated application that improves employees and automates operations in a way which is considerably more efficient than conventional automation. Automation using Artificial Intelligence(AI) and Machine Learning(ML).

Artificial Intelligence 92

Artificial Intelligence Software Software IoT 92

Testsigma

DECEMBER 8, 2019

Automation using Artificial Intelligence(AI) and Machine Learning(ML). Revenue from the AI software market has been increasing year by year as can be seen in the graph below and is also expected to rise in 2020: Revenues from the artificial intelligence (AI) software market worldwide from 2018 to 2025 from Statista.

IoT 78

IoT Software Software Testing 78