Acumos Project’s 1st Software, Athena, Helps Ease AI Deployment | Software

LF Deep Learning Foundation on Wednesday introduced the supply of the primary software program from the
Acumos AI Project. Dubbed “Athena,” it helps open supply innovation in synthetic intelligence, machine studying and deep studying.

This is the primary software program release from the Acumos AI Project since its launch earlier this 12 months. The objective is to make essential new applied sciences out there to builders and knowledge scientists in all places.

Acumos is a part of a Linux Foundation umbrella group, the LF Deep Learning Foundation, that helps and sustains open supply innovation in synthetic intelligence, machine studying and deep studying. Acumos is predicated in Shanghai.

Acumos AI is a platform and open supply framework that makes it simple to construct, share and deploy AI apps. Acumos standardizes the infrastructure stack and parts required to run an out-of-the-box common AI setting, releasing knowledge scientists and mannequin trainers to concentrate on their core competencies, and accelerating innovation.

“The Acumos Athena release represents a significant step forward in making AI models more accessible for builders of AI applications and models, along with users and trainers of those models and applications,” stated Scott Nicholas, senior director of strategic planning at The Linux Foundation. “This furthers the goal of LF Deep Learning and the Acumos project of accelerating overall AI innovation.”

The problem with AI is that there are only a few apps to make use of it, famous Jay Srivatsa, CEO of
Future Wealth.

“Acumos was launched to create an AI marketplace, and the release of Athena is a first step in that direction,” he advised LinuxInsider.

The Acumos AI Platform

Acumos packages toolkits resembling TensorFlow and SciKit Learn, together with fashions that have a typical API that enables them to attach seamlessly. The AI platform permits for straightforward onboarding and coaching of fashions and instruments.

The platform helps quite a lot of common software program languages, together with Java, Python, and R. The R language is a free software program setting for statistical computing and graphics.

The Acumos AI Platform leverages fashionable microservices and containers to package deal and export production-ready AI functions as Docker recordsdata. It features a federated AI Model Marketplace, which is a catalog of community-distributed AI fashions that may be shared securely.

LF Deep Learning members contribute to the evolution of the platform to ease the onboarding and the deployment of AI fashions, in line with LF Deep Learning Outreach Committee Chair Jamil Chawki. The Acumos AI Marketplace is open and accessible to anybody who desires to obtain or contribute fashions and functions.

“Acumos Athena is a significant release because it enables the interoperability of AI, DL and ML models and prevents the lock-in that usually occurs whenever projects are built using disparate configurations, systems and deployment techniques,” defined Rishi Bhargava, cofounder of

It will ease restrictions on AI, DL and ML builders by eradicating silos and permitting them to construct standardized fashions, chain one another’s fashions collectively, and refine them by an out-of-the-box common AI setting, he advised LinuxInsider.

“The efficiency of learning models is hugely contingent on the quality and uniqueness of data, the depth and repeatability of feature engineering, and selecting the best model for the task at hand,” Bhargava stated. “Athena will free developers of extraneous burdens so they can focus on these core tasks, learn from each other, and eventually deliver better models to businesses and customers.”

Athena Release Highlights

Athena’s design is full of options to make the software program fast and straightforward to deploy, and to make it simple to share Acumos AI functions.

Athena could be deployed with one-click utilizing Docker or Kubernetes. The software program can also deploy fashions right into a public or non-public cloud infrastructure, or right into a Kubernetes setting on customers’ personal , together with servers and digital machines.

It makes use of a design studio graphical interface that permits chaining collectively a number of fashions, knowledge translation instruments, filters and output adapters right into a full end-to-end resolution. Also at play is a safety token to permit easy onboarding of fashions from an exterior toolkit on to an Acumos AI repository.

Models simply could be repurposed for various environments and . This is completed by decoupling microservices technology from the mannequin onboarding course of.

An superior person portal permits personalization of market view by theme and knowledge on mannequin authorship. This portal additionally permits customers to share fashions privately or publicly.

“The LF Deep Learning Foundation is focused on building an ecosystem of AI, deep learning and machine learning projects, and today’s announcement represents a significant milestone toward achieving this vision,” stated LF Deep Learning Technical Advisory Council Chair Ofer Hermoni of Amdocs.

Unifying Factor

The Acumos release is important for the development of AI, DL and ML innovation, in line with Edgar Radjabli, managing companion of
Apis Capital Management.

The AI trade may be very fragmented, with just about no standardization.

“Companies building technology are usually required to write most from scratch or pay for expensive licensed cloud AI solutions,” Radjabli advised LinuxInsider. “Acumos can help bring a base (protocol) layer standard to the industry, in the same way that HTTP did for the Internet and Linux itself did for application development.”

LF Deep Learning members are impressed and energized by the progress of the Acumos AI Project, famous Mazin Gilbert, vice president of superior expertise and programs at AT&T and the governing board chair of LF Deep Learning.

“Athena is the next step in harmonizing the AI community, furthering adoption and accelerating innovation,” he stated.

Open Source More Suitable

Given the challenges of rising new applied sciences, open supply fashions are higher suited to the event course of than these of business software program corporations. Open supply base layer software program is right. It permits larger adoption and interoperability between various tasks from established gamers and startups, stated Radjabli.

“I believe that Acumos will be used both by other open source projects building second-layer applications, as well as commercial applications,” he stated.

Today, the identical scenario exists in different software program improvement. Open supply base layer protocols are used throughout the trade, each by different open supply/nonprofit tasks and business operations, he defined.

“Athena clearly is geared to an open source environment, given that it already has about 70 or more contributors,” stated Future Wealth’s Srivats.

Benefits for Business and Consumers

The advantages to be gained from AI, DL and ML are very vital. Companies throughout the trade have been making progress within the improvement of distinctive functions for AI/DL/MO. More development on this house will consequence from Acumos, in line with Radjabli.

One instance includes a company that makes use of neural networks for predictive healthcare analytics. This system permits it to diagnose breast most cancers with zero % false negatives merely from affected person knowledge correlation evaluation. This doesn’t contain any invasive testing or imaging, in line with Radjabli.

“The correlation is comprised of over 40 variables, which means it would have never been found through traditional medical research data analysis and was only made possible through the use of convolutional and recurrent neural networks working in combination,” he stated.

AI, DL and ML are all geared towards companies understanding and predicting shopper habits, added Srivatsa.

“Both will benefit,” he stated.

What’s Next for Acumos AI

The developer neighborhood for Acumos AI already is engaged on the following release. The company expects it to be out there in mid-2019.

The subsequent release will introduce handy mannequin coaching, in addition to knowledge extraction pipelines to make fashions extra versatile.

Additionally, the following release will embrace updates to help closed-source mannequin builders, resembling safe and dependable licensing parts to supply execution management and efficiency suggestions throughout the neighborhood.

Jack M. Germain has been an ECT News Network reporter since 2003. His foremost areas of focus are enterprise IT, Linux and open supply applied sciences. He has written quite a few critiques of Linux distros and different open supply software program.
Email Jack.

(window, doc,’script’,
fbq(‘init’, ‘535191343593734’);
fbq(‘monitor’, ‘PageView’);

Tech News


Show More

Related Articles