Artificial Intelligence and Machine Learning explained
Up until the last 10 years or so, artificial intelligence was the stuff of science fiction: machines that could learn from a variety of interactions to make decisions and take actions that would normally require a human to execute. Because of that science fiction, there are those who fear AI as the beginning of the rise of intelligent robots. So, ethical development of AI has become an important issue in the IT community.
Artificial intelligence is having a big impact on application development. Today, we see AI in many different computing environments. It is also popping up in customer service call centers, in dialog boxes on websites, in the Industrial Internet of Things, as well as in our children’s toys, our homes and businesses. When coupled with automated processes, machines can take over many of the more mundane tasks businesses have to complete on a daily basis.
Of course, applications of AI are much broader and more sophisticated. AI can be found in automotive controls, such as applying the brake when your car is quickly approaching the one ahead. It’s found in data analytics, processing and management, where AI can learn to spot anomalies in data and trigger alerts and actions to remediate the issue.
OpsMx announces software and services extensions to Argo
The intelligent continuous delivery solution provider, OpsMx, announced new software modules and support services for Argo that make it faster, easier, and safer for companies to use Argo in production, according to the company. New automated analysis capabilities can increase the speed and accuracy of complex progressive deployments. A unified view and centralized audit of … continue reading
Anyscale Platform updated with new unified development environment
Anyscale, the company behind the open source unified compute framework for machine learning called Ray, has announced new updates to the Anyscale Platform. The platform enables companies to build, deploy, and manage machine learning and Python applications. One new addition is Anyscale Workspaces, which provides a unified development environment for building machine learning workloads. Developers … continue reading
IBM announces three new AI libraries for natural language processing
IBM unveiled three new embeddable AI libraries to reduce the barriers for AI adoption and to address the AI skills shortage. The models include the same language processing and speech libraries that IBM uses to power its own IBM Watson software. One of the new libraries is IBM Watson Natural Language Processing Library (NLP), designed … continue reading
Domino 5.3 available to improve data science access
Domino 5.3 was released to improve how organizations can get the most of data science across any cloud or on-premises infrastructure. The new version introduces a private preview of Domino Nexus hybrid and multi-cloud capabilities and an expanded suite of connectors to simplify and democratize access to critical data sources. On top of that, new … continue reading
Web3 and Web 3.0: Two different ideas that can coexist
It seems that every day in the tech world we hear about the salvation that the new era of the web will bring by taking away mega corporations’ hold on user data and giving control back to the people (at least some of it). But it isn’t until we read into the matter further that … continue reading
SD Times Open-Source Project of the Week: BigCode
The BigCode initiative’s aim is to build state-of-the-art large language learning models (LLMs) to build code in an open and responsible way. Code LLMs enable the completion and synthesis of code from other code and natural language descriptions, and enables users to work across a wide range of domains, tasks, and programming languages. The initiative … continue reading
DALL-E now available without waitlist
OpenAI has removed the waitlist for the DALL-E beta so that users can get started right away. DALL-E allows users to type infinite combinations of prompts that will each generate a unique set of images generated by ML/AI. Whether the prompts are as simple as “an armchair in the shape of an avocado” or as … continue reading
NVIDIA gives updates on new GPU technologies at GTC conference
NVIDIA CEO Jensen Huang took the stage for a keynote at the company’s GTC conference and gave some exciting updates regarding new technologies from the company. He announced the GeForce RTX 40 Series GPUs, which are powered by the company’s new Ada Lovelace architecture. Advancements in Ada include a new Streaming Multiprocessor, an RT core … continue reading
Vonage introduces AI Studio for creating customer engagement solutions
Vonage, the cloud communications company, today announced Vonage AI Studio, a low code/no code tool for designing, creating, and deploying customer engagement solutions that operate in natural language using AI. According to the company, Vonage AI Studio helps to improve customer engagement through personalized and automated interactions across voice, SMS, and messaging apps such as … continue reading
Automated testing still lags
Automated testing initiatives still lag behind in many organizations as increasingly complex testing environments are met with a lack of skilled personnel to set up tests. Recent research conducted by Forrester and commissioned by Keysight found that while only 11% of respondents had fully automated testing, 84% percent of respondents said that the majority of … continue reading
Report: Fully automated testing remains elusive for organizations
Despite the growing complexity of the software that drives organizations, few companies have fully automated testing or are using AI, according to new research conducted by Forrester and commissioned by Keysight. For the study, Forrester conducted an online survey in December 2021 that involved 406 test operations decision-makers at organizations in North America, EMEA, and … continue reading
TigerGraph launches new version of TigerGraph Cloud
TigerGraph today announced new features for TigerGraph Cloud, including the addition of multi-user collaboration, integrated login, private networking options, and extended global cloud coverage. The Enterprise IAM (Identity and Access Management) feature allows for a single enterprise account to manage multiple users and their role-based access with a holistic view of all solutions in one … continue reading
