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AIShield Announces Watchtower: The Open-Source Tool to supercharge AI supply chain security

Retrieved on:

Dienstag, April 23, 2024

DUBAI, UAE, April 23, 2024 /PRNewswire-PRWeb/ -- AIShield, a Gartner-recognized forerunner in cybersecurity for AI/ML systems, unveils AIShield Watchtower, an innovative Static Application Security Testing (SAST) solution crafted for AI/ML developers. This pioneering open-source utility aims to redefine AI system security with its comprehensive scans of models and notebooks, thereby establishing a bulwark against the fast-evolving AI supply chain risks landscape. The imperative for responsible AI utilization underscores the need for categorization, evaluation, and mitigation of identified risks. Organizations need a tool for mitigating such risks of ML supply chain attacks, and for hardening the trust boundaries during the model training and development phase.

Key Points:

This pioneering open-source utility aims to redefine AI system security with its comprehensive scans of models and notebooks, thereby establishing a bulwark against the fast-evolving AI supply chain risks landscape.
Organizations need a tool for mitigating such risks of ML supply chain attacks, and for hardening the trust boundaries during the model training and development phase.
Watchtower enriches our AppSec and open-source security initiatives by integrating AI/ML model discovery and security testing.
Yet, this accessibility brings forth security vulnerabilities throughout the supply chain.

NVIDIA Unveils 6G Research Cloud Platform to Advance Wireless Communications With AI

Retrieved on:

Montag, März 18, 2024

The NVIDIA 6G Research Cloud platform is open, flexible and interconnected, offering researchers a comprehensive suite to advance AI for radio access network (RAN) technology.

Key Points:

The NVIDIA 6G Research Cloud platform is open, flexible and interconnected, offering researchers a comprehensive suite to advance AI for radio access network (RAN) technology.
Industry-leading researchers can use all elements of the 6G development research cloud platform to advance their work.
Leading providers in this space are working with NVIDIA to contribute to the new requirements of AI with 6G.
“Keysight is pleased to bring its wireless network expertise to enable the next generation of innovation in 6G communications networks.”
The NVIDIA 6G Research Cloud platform combines these powerful foundational tools to let telcos unlock the full potential of 6G and pave the way for the future of wireless technology.

Cloudian Announces Integration with AWS Mountpoint, Expanding S3-Compatible Storage Solutions

Retrieved on:

Dienstag, März 12, 2024

Organization, Amazon, SAN, Common, Linux, AWS, ETL, API, S3, PyTorch, Computer data storage

AWS Mountpoint for Amazon S3 has revolutionized how applications interact with object storage, offering a simple, high-throughput file client that translates file operations into S3 API calls.

Key Points:

AWS Mountpoint for Amazon S3 has revolutionized how applications interact with object storage, offering a simple, high-throughput file client that translates file operations into S3 API calls.
With Cloudian's support for AWS Mountpoint, HyperStore customers can now access objects using standard file protocols, simplifying the integration of Cloudian’s S3-compatible object storage into existing applications.
"Cloudian's commitment to versatility in object storage is furthered by our support for AWS Mountpoint," said Jon Toor, Chief Marketing Officer of Cloudian.
For more information on how Cloudian and AWS Mountpoint are transforming object storage, visit Cloudian.com.

Lightning AI Announces Availability of Thunder; A Powerful Source-to-Source Compiler For PyTorch That Speeds Up Training And Serving Generative AI Models Across Multiple GPUs, Built With Support From NVIDIA

Retrieved on:

Donnerstag, März 28, 2024

Thunder is the culmination of two years of research on the next generation of deep learning compilers, built with support from NVIDIA.

Key Points:

Thunder is the culmination of two years of research on the next generation of deep learning compilers, built with support from NVIDIA.
Lightning AI leveraged support from NVIDIA for the integration of NVIDIA’s best executors into Thunder.
PyTorch Lightning, developed by Falcon, has become the standard for training large-scale AI models such as Stable Diffusion, with over 10,000 companies using it to build AI at scale.
Using this knowledge, the team at Lightning AI rethought from the ground up what AI development on the cloud should feel like.

Orca Security Adds AI Security to Cloud Security Platform

Retrieved on:

Dienstag, März 19, 2024

Orca Security , the pioneer of agentless cloud security, today announced that the Orca Cloud Security Platform now offers integrated AI Security Posture Management (AI-SPM) and more, enabling organizations to leverage AI with high velocity without incurring undue risk.

Key Points:

Orca Security , the pioneer of agentless cloud security, today announced that the Orca Cloud Security Platform now offers integrated AI Security Posture Management (AI-SPM) and more, enabling organizations to leverage AI with high velocity without incurring undue risk.
While AI tools provide outstanding business benefits, AI models often include sensitive data and intellectual property in their training data.
It is vital that cloud security providers cover AI tools and immediately identify when the cloud resources powering AI models are vulnerable.
Orca has been at the forefront of leveraging generative AI to augment and democratize cloud security, with ChatGPT, Azure OpenAI, Amazon Bedrock, and Google Vertex AI integrations, as well as AI-driven cloud asset search.

Cerebras Systems Unveils World’s Fastest AI Chip with Whopping 4 Trillion Transistors

Retrieved on:

Mittwoch, März 13, 2024

The latest Cerebras Software Framework provides native support for PyTorch 2.0 and the latest AI models and techniques such as multi-modal models, vision transformers, mixture of experts, and diffusion.

Key Points:

The latest Cerebras Software Framework provides native support for PyTorch 2.0 and the latest AI models and techniques such as multi-modal models, vision transformers, mixture of experts, and diffusion.
We could not be more proud to be introducing the third-generation of our groundbreaking wafer-scale AI chip,” said Andrew Feldman, CEO and co-founder of Cerebras.
“WSE-3 is the fastest AI chip in the world, purpose-built for the latest cutting-edge AI work, from mixture of experts to 24 trillion parameter models.
Condor Galaxy 3 will be built with 64 CS-3 systems, producing 8 exaFLOPs of AI compute, one of the largest AI supercomputers in the world.

SolidRun Unveils Hailo-15H System-on-Module (SOM): A Breakthrough in Edge AI Processing

Retrieved on:

Donnerstag, März 28, 2024

SOC, Temperature, FPS, Algorithm, Image, MIPI, Library, ISP, Embedded, TRNG, Firewall, SolidRun, Deep learning, ONNX, City, ARM architecture family, Exhibition, Region, SOM, TEL, PyTorch, Engineering, Telescopic sight

TEL AVIV, Israel, March 28, 2024 /PRNewswire/ -- SolidRun, a leading innovator in high-performance System on Module (SOM) solutions and developer of embedded systems, is proud to announce the release of its ultra-compact Hailo-15H SOM. Leveraging the cutting-edge Hailo-15H AI vision processor, this groundbreaking deployment-ready solution sets a new standard in AI vision applications, offering unparalleled performance, efficiency, and flexibility.

Key Points:

Leveraging the cutting-edge Hailo-15H AI vision processor, this groundbreaking deployment-ready solution sets a new standard in AI vision applications, offering unparalleled performance, efficiency, and flexibility.
"SolidRun's SOM based on our Hailo-15H SOC represents a significant milestone for in-camera edge AI processing and provides engineers with a compact solution that delivers unparalleled performance and energy efficiency for a wide range of AI vision applications.
With its unique combination of AI inferencing capabilities and advanced computer vision engines, the Hailo-15H SOM empowers engineers to push the boundaries of what's possible in edge AI.
"Our vision at SolidRun has always been to simplify the complex world of embedded systems and empower engineers to innovate without constraints," said Dr. Atai Ziv, CEO at SolidRun.

Superlinked Raises $9.5 Million Seed From Index Ventures and Theory Ventures to Fill the Gap Between Data and Vector Databases

Retrieved on:

Montag, März 18, 2024

Vector, Recommender system, Attention, Partnership, RAG, SAN, ALL, Index Ventures, AI, Software, News, MongoDB, Analytics, Starburst, McKinsey & Company, PyTorch, Online shopping

SAN FRANCISCO, March 18, 2024 /PRNewswire-PRWeb/ -- Superlinked, the solution for turning complex data into vector embeddings, today announced it has received $9.5 million in seed funding. The round was led by Index Ventures, with significant contribution from Theory Ventures. 20Sales, Firestreak and several prominent tech executives also participated. News of the funding comes as Superlinked launches a private alpha of its product and closes enterprise customer contracts to make data accessible for ML systems in information retrieval and feature engineering. The fresh capital will be used to further scale to meet market demand and expand product capabilities, building on Superlinked's technology that makes structured and unstructured data ML-compatible, and therefore useful, for creating new solutions and deriving additional value from data on top of vectors.

Key Points:

SAN FRANCISCO, March 18, 2024 /PRNewswire-PRWeb/ -- Superlinked , the solution for turning complex data into vector embeddings, today announced it has received $9.5 million in seed funding.
The round was led by Index Ventures , with significant contribution from Theory Ventures .
"We work in tandem with vector databases to put vectors at the center of enterprise data and compute infrastructure, democratizing the power that was once exclusive to a handful of tech giants."
"We're very bullish on the future of vector databases, but a significant gap remains in the market.

EQS-News: Exasol Unveils New Suite of AI Tools to Turbocharge Enterprise Data Analytics

Retrieved on:

Mittwoch, März 13, 2024

Engineering, TensorFlow, Artificial intelligence, AI, ROI, Data management, Language, Ibis, Database, Data science, Organization, Ecosystem, Movement, Amazon SageMaker, PyTorch, Churn, Partnership, Medical device

With these new features, Espresso AI provides organizations with the tools needed to harness the power of their data for advanced AI-driven insights and decision-making.

Key Points:

With these new features, Espresso AI provides organizations with the tools needed to harness the power of their data for advanced AI-driven insights and decision-making.
By leveraging Espresso AI, data teams are equipped to address business-critical needs such as demand forecasting, fraud detection, and churn prediction.
Exasol has enhanced its versatile query engine, Exasol Espresso , with Espresso AI, bringing AI and business intelligence (BI) together to enable better BI reports with predictive machine learning (ML) models.
Exasol AI Lab: A new container-based solution that allows data scientists to integrate Exasol’s in-memory analytics database into their preferred data science ecosystem to create optimized AI models faster and deploy them at scale.

Cloudian Launches Open Source PyTorch Support, Enabling Simplified Machine Learning Workflows with Hybrid Edge Storage Integration for AWS Outposts and Local Zones

Retrieved on:

Dienstag, Februar 27, 2024

SAN, Algorithm, AI, API, Python, Data analysis, GitHub, Machine learning, PyTorch, AWS S3, AWS, Workflow, Video game

The ML tasks can also run on local compute resources such as AWS Outposts and Local Zones.

Key Points:

The ML tasks can also run on local compute resources such as AWS Outposts and Local Zones.
Cloudian is a certified Service Ready partner for AWS Outposts and Local Zones, and is commercially available through the AWS Marketplace.
Seamless Integration: Allows direct use of PyTorch with Cloudian HyperStore, enabling local S3-compatible data storage.
Local Performance: Run machine learning models locally with AWS Outposts and Local Zones for low latency and high-speed access to data.