In this contributed article, Shayde Christian, Chief Data & Analytics Officer at Cloudera, discusses issues surrounding the barriers organizations face when it comes to implementing GenAI and how to navigate them.
FinTech Studios® Launches Apollo PRO® and RegLens PRO® Market Intelligence and Regulatory Intelligence Apps Powered with Conversational Generative AI
May 18, 2024 by
FinTech Studios Inc., a leading Gen AI platform for enterprise search, market intelligence and regulatory intelligence, announced Apollo PRO and RegLens PRO, the most advanced generative AI enterprise search, market intelligence and regulatory intelligence apps that includes a “conversational chat” interface and contextually relevant “suggested prompts”, seamlessly integrated with millions of authoritative sources of web and enterprise content.
Cerebras: Wafer Scale Engine Outperforms Frontier Supercomputer on Molecular Dynamics Simulations
May 16, 2024 by
SUNNYVALE, Calif. – May 15, 2024 – Accelerated generative AI chip company Cerebras Systems, in collaboration with researchers from Sandia, Lawrence Livermore, and Los Alamos National Laboratories, said it has acheved a breakthrough in molecular dynamics (MD) simulations using the second generation Cerebras Wafer Scale Engine (WSE-2). Researchers performed atomic scale simulations at the millisecond […]
GigaIO Launches SuperNODE with AMD MI300X GPUs
May 15, 2024 by
Carlsbad, California – GigaIO, provider of open workload-defined infrastructure for AI and accelerated computing, today announced that its flagship product, the 32-GPU single node server SuperNODE, is now shipping with AMD Instinct MI300X accelerators. MI300X series accelerators are designed for generative AI workloads and HPC applications. The MI300X’s massively memory capacity, combined with the SuperNODE’s […]
Improvements in Contextual Intelligence and Generative AI will Help Creative Personalization Reach its Full Potential
May 10, 2024 by
In this contributed article, Chief Operating Officer at Flashtalking and Mediaocean, Ben Kartzman, discusses how advancements in contextual intelligence and GenAI are transforming creative personalization in digital advertising amid diminishing data signals like Mobile Ad IDs and third-party cookies. Ben points out that AI-driven improvements enable more accurate targeting and tailored ad creative, while GenAI facilitates the real-time creation of new ad assets, leading to unprecedented personalization. He argues that these advancements are crucial in the evolving landscape of digital advertising, redefining the traditional approach of delivering relevant messages to audiences.
Lenovo Is on a Mission to Transform HPC & AI for All
May 9, 2024 by
[SPONSORED GUEST ARTICLE] High performance computing (HPC) systems run workloads to perform complex calculations to get answers to some of humanity’s toughest questions. The output from these calculations can result in game changing and life saving measures. HPC systems are used in ….
Nvidia NIM Integrated Support on Red Hat OpenShift AI
May 7, 2024 by
DENVER – May 7, 2024 — Open source solutions company Red Hat today announced coming integration support for Nvidia NIM microservices on Red Hat OpenShift AI to enable inferencing for artificial intelligence (AI) models backed by a consistent, open source AI/ML hybrid cloud platform. Organizations will be able to use Red Hat OpenShift AI with Nvidia NIM […]
Is Generative AI Having Its Oppenheimer Moment?
May 6, 2024 by
In this contributed article, Manuel Sanchez, Information Security and Compliance Specialist at iManage, discusses how Generative AI – which burst into the mainstream a little over a year ago – seems to be having an Oppenheimer moment of its own.
Rockets: A Good Analogy for AI Language Models
April 27, 2024 by
In this contributed article, Varun Singh, President and co-founder of Moveworks, sees rockets as a fitting analogy for AI language models. While the core engines impress, he explains the critical role of Vernier Thrusters in providing stability for the larger engine. Likewise, large language models need the addition of smaller, specialized models to enable oversight and real-world grounding. With the right thrusters in place, enterprises can steer high-powered language models in the right direction.
Unveiling Jamba: AI21’s Groundbreaking Hybrid SSM-Transformer Open-Source Model
April 26, 2024 by
AI21, a leader in AI systems for the enterprise, unveiled Jamba, the production-grade Mamba-style model – integrating Mamba Structured State Space model (SSM) technology with elements of traditional Transformer architecture. Jamba marks a significant advancement in large language model (LLM) development, offering unparalleled efficiency, throughput, and performance.
