Google brings cross-platform AI pipeline framework MediaPipe to the web

Google | January 28, 2020

MediaPipe could previously be deployed to desktop, mobile devices running Android and iOS, and edge devices like Google’s Coral hardware family, but it’s increasingly making its way to the web courtesy WebAssembly, a portable binary code format for executable programs, and XNNPack ML Inference Library, an optimized collection of floating-point AI inference operators. MediaPipe could previously be deployed to desktop, mobile devices running Android and iOS, and edge devices like Google’s Coral hardware family, but it’s increasingly making its way to the web courtesy WebAssembly, a portable binary code format for executable programs, and XNNPack ML Inference Library, an optimized collection of floating-point AI inference operators

Spotlight

Branch office networks and the enterprise WAN are in a state of dramatic transformation, driven by three key trends. Enterprises are using cost-effective Direct Internet Access (DIA) to replace expensive Multiprotocol Label Switching (MPLS) circuits. The advent of “as-a-service” providers has resulted in applications increasingly being hosted in the cloud, in either Infrastructure-as-a-Service (IaaS) or Software-as-a-Service (SaaS) delivery models. Software-defined WAN (SD-WAN), with its promise of service agility and orchestrated delivery, is redesigning branch routing and WAN connectivity. These trends mean that the perimeter of an enterprise is no longer confined to branch offices and data centers, but now encompasses the nebulous cloud.


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SOFTWARE

Cycle.io’s Low-Ops Developer Platform Adds NVIDIA GPU Support

Cycle.io | August 04, 2022

Cycle.io, an up-and-coming low-ops application deployment platform, is thrilled to announce the support for NVIDIA’s data center-class line of GPUs. This enhancement of the platform enables developers to build GPU-accelerated applications which require a high level of computing power for scientific and engineering purposes: One Platform With Batteries Included: Cycle provides all the necessary features development teams need to deploy, scale, and monitor everything from basic websites to complex SaaS and PaaS applications. Multi-Cloud Container Orchestration: Enables developers to use the tools and technologies they’re already familiar with across multiple cloud providers in parallel. Ultra-Current Infrastructure With Control: Organizations are able to maintain control and ownership of their infrastructure while the Cycle platform ensures that all servers are always current, with the latest updates being deployed on a semi-weekly basis. Turnkey Team Collaboration: Easily add and remove developers from your team, and infrastructure, all with a few clicks. Cycle makes it easy for developers to gain observability over the individual components that make up today’s modern applications. The launch of Cycle’s GPU support coincides with Vultr’s release of their new GPU-line of cloud servers, built upon the NVIDIA A100 GPU. Vultr, a leading independent provider of cloud infrastructure, provides both virtualized and bare-metal cloud infrastructure across 20 regions globally. Through the Cycle.io and Vultr partnership, developers can easily deploy performance-sensitive, GPU-dependent applications at a price point that makes sense for all use cases. “Because of the additional power of a massively parallel architecture, GPUs make it possible to handle multiple tasks simultaneously, giving developers more compute power. There is a growing need for GPU parallel processing by developers of AI and Machine Learning big-data intensive solutions. With containers, this has been very difficult for the architect. But with our new partnership alongside Vultr, Cycle is making this simple to do for developers.” Jake Warner, CEO, and Founder of Cycle.io. “We greatly value our partnership with Cycle. Now that Vultr is offering VMs and bare metal accelerated with NVIDIA A100 Tensor Core GPUs, customers can use Cycle and Vultr together to easily run containers for deep learning, high-performance computing, and data analytics workloads,” said J.J. Kardwell, CEO of Vultr’s parent company, Constant. About Cycle Cycle is the all-in-one low-ops platform built for deploying, scaling, and monitoring your websites, backends, and APIs. With automatic platform updates, standardized deployments, a powerful API, and bottleneck crushing automation—the platform offers batteries included, and no DevOps team is required. Founded in 2015, the company is headquartered in Reno, NV.

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FUTURE TECH

Union.ai releases UnionML for seamless creation of web-native machine learning applications

Union.ai | June 10, 2022

Union.ai, provider of the open-source workflow orchestration platform Flyte and its hosted version, Union Cloud, today announced the release of UnionML at MLOps World 2022. The open-source MLOps framework for building web-native machine learning applications offers a unified interface for bundling Python functions into machine learning (ML) microservices. It is the only library that seamlessly manages both data science workflows and production lifecycle tasks. This makes it easy to build new AI applications from scratch, or make existing Python code run faster at scale. UnionML aims to unify the ever-evolving ecosystem of machine learning and data tools into a single interface for expressing microservices as Python functions. Data scientists can create UnionML applications by defining a few core methods that are automatically bundled into ML microservices, starting with model training and offline/online prediction. "Creating machine learning applications should be easy, frictionless and simple, but today it really isn't., The cost and complexity of choosing tools, deciding how to combine them into a coherent ML stack, and maintaining them in production requires a whole team of people who often leverage different programming languages and follow disparate practices. UnionML significantly simplifies creating and deploying machine learning applications." Union.ai CEO Ketan Umare UnionML apps comprise two objects: Dataset and Model. Together, they expose function decorator entry points that serve as building blocks for a machine learning application. By focusing on the core building blocks instead of the way they fit together, data scientists can reduce their cognitive load for iterating on models and deploying them to production. UnionML uses Flyte to execute training and prediction workflows locally or on production-grade Kubernetes clusters, relieving MLOps engineers of the overhead of provisioning compute resources for their stakeholders. Models and ML applications can be served via FastAPI or AWS Lambda. More options will be available in the future. About Union.ai Union.ai helps organizations deliver reliable, reproducible and cost-effective machine learning and data orchestration built around open-source Flyte. Flyte is a one of a kind workflow automation platform that simplifies the journey of data scientists and machine learning engineers from ideation to production. Some of the top companies, including Lyft, Spotify, GoJek and more, rely on Flyte to power their Data & ML products. Based in Bellevue, Wash., Union.ai was started by founding engineers of Flyte and is the leading contributor to Flyte.

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GENERAL AI

One AI to Take on Global Language AI Challenge with NLP-as-a-service Platform for Developers

One AI | May 31, 2022

One AI, an NLP-as-a-service startup, empowering developers to embed Language AI in their products, officially launched today. One AI has raised $8M in seed funding from leading angel investors and VCs, including Ariel Maislos, Tech Aviv, Tomer Wiengarten, CEO of Sentinel One. One AI allows developers to seamlessly embed language comprehension into their projects, transforming texts from any source into structured data, with no training data or machine learning knowledge required. To deliver accuracy, predictability and fast time-to-value for concrete product tasks, One AI's Language Skills combine curated and optimized open-source models with models designed by their research team. One AI was founded by serial entrepreneurs and executives. Amit Ben and Aviv Dror, who previously co-founded NanoRep, later sold to LogMeIn (LOGM). Yochai Levi, who has filled executive positions at companies such as WeWork, LivePerson, and Conduit, and Asi Sheffer, who bridges the gap between industry and academia with his past experience in companies like IBM and LogMeIn. "The generation of unstructured data is increasing at unprecedented rates, and the inability to understand it results in negative outcomes that include everything from lost sales, to lower levels of user engagement and loyalty, to reputation damage. "The adoption of language comprehension tools by the broader developer community is the way to overcome it." Amit Ben, Founder & CEO at One AI "Language is the most valuable untapped resource, beyond the reach of most products and companies. This is true to most industries and domains and results in negative outcomes that include everything from lost sales, to lower levels of user engagement and loyalty, to reputation damage." says Yaron Samid, Founder and Managing Partner of TechAviv. "Unleashing Language AI allows us to harness the power of this unstructured data and turn it into useful information and insights." One AI's Language Skills API packages NLP models, trained for concrete business use-cases. Language Skills support input in various formats (text, audio, JSON, video..). Developers can mix-and-match Skills in a single pipeline using One AI's Language Studio – a no-code visual interface – to process texts in a single API call, and can also include O/S and their own models. About One AI One AI is a Language AI service for developers. Our Language Skills enable language comprehension in context, transforming texts from any source into structured data to use in code. No training data or NLP/ML knowledge are required.

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AI APPLICATIONS

WonderBotz Partners with Krista Software for AI-led Intelligent Automation

WonderBotz | May 27, 2022

WonderBotz, a global leader in the delivery of enterprise-grade automation and advanced AI solutions, announced today that it has partnered with Krista Software, the makers of "Krista". Krista is an intelligent automation platform that uses natural language and machine learning to personify legacy systems allowing people to "Ask Krista" for a business outcome. WonderBotz will embed Krista into its automation footprint to further differentiate its offerings and services. "We strive to bring cutting-edge automation capabilities to our customers," said Steve LaValle, Co-CEO of WonderBotz. "Enabled by its natural language understanding and AI, Krista capabilities expand the pool of high-value automation use cases available to our customers and prospects." John Michelsen, CEO and Founder at Krista Software added, "WonderBotz provides innovative and next generation automation capabilities to their customers, which makes this partnership very strategic for us. AI-led Intelligent Automation is a key catalyst to bring about digital transformation in any industry, and with WonderBotz we will deliver on this promise together." About WonderBotz WonderBotz LLC, managed by industry leaders, is single-mindedly focused and committed to helping organizations employ quality digital workers to deliver efficiency and competitive advantage by leveraging its professional services, training, mentoring, and Robotics-as-a-Service (RAAS) offerings. Our team brings technical excellence, innovation, and high-quality standards exceeding our clients' expectations on every engagement. WonderBotz works with leading marketplace RPA platforms. About Krista Software Krista Software develops the AI-led intelligent automation platform, Krista. Krista enables companies to automate complete business processes by elegantly orchestrating people, apps, and AI. Krista uses natural language processing and machine learning to personify legacy systems allowing people to "Ask Krista" for a business outcome.

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Spotlight

Branch office networks and the enterprise WAN are in a state of dramatic transformation, driven by three key trends. Enterprises are using cost-effective Direct Internet Access (DIA) to replace expensive Multiprotocol Label Switching (MPLS) circuits. The advent of “as-a-service” providers has resulted in applications increasingly being hosted in the cloud, in either Infrastructure-as-a-Service (IaaS) or Software-as-a-Service (SaaS) delivery models. Software-defined WAN (SD-WAN), with its promise of service agility and orchestrated delivery, is redesigning branch routing and WAN connectivity. These trends mean that the perimeter of an enterprise is no longer confined to branch offices and data centers, but now encompasses the nebulous cloud.

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