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Featured Articles

Featuring insightful blog posts and highlight outstanding contributions from our community members.

5 Topics
Sothan
SothanCommunity Manager
published in Community Spotlight
Ambassador of the Month: Akash James

We’re excited to recognize Akash James as our latest Z by HP Ambassador of the Month! 🎉As a Lead AI Architect at SparkCognition, Akash has shown remarkable ingenuity in creating advanced AI systems that bridge multiple areas of artificial intelligence. His standout project, VERONICA (Versatile ONline Intelligent Cognitive Agent), is an impressive multi-modal AI assistant. VERONICA integrates Automatic Speech Recognition, Large Language Models, Vision Language Models, Face Recognition, and Text-to-Speech Synthesis for a truly intelligent and adaptive assistive system. Inspired by JARVIS from Marvel, VERONICA can “remember,” “learn,” and engage in multi-person conversations, imitating human-like conversational abilities.Featured Projects:VERONICA: Akash’s flagship multi-modal AI Assistant combines a range of technologies to create a highly interactive and adaptive system. Vector: An advanced take on the open-source VectorBot platform, Vector is enhanced with LLMs and RAG for natural lan

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Sothan
17 days ago
Sothan
SothanCommunity Manager
published in Community Spotlight
Ambassador of the Month: Javier Eluney Hernandez

 We’re excited to recognize Javier Eluney Hernández as our very first ever Z by HP Ambassador of the Month! 🎉Javier has made significant contributions to AI research, particularly in Computer Vision/Graphics and Generative AI applications within healthcare. He is passionate about exploring the frontiers of machine learning research, particularly in the areas of computer vision, AI in healthcare, and natural language processing. Javier has published papers at various conferences and enjoys sharing his knowledge with the community. In his spare time, he enjoys continuous learning through Kaggle, creating open-source projects, and experimenting with novel neural architectures.Featured Projects:Medical QA LLM Developed a fine-tuned Medical Large Language Model (LLM) to provide accurate and context-aware answers to medical questions. Focused on exploring best solutions for end users that could be patients and clinicians.  Found Spanish Datasets that are currently being worked on for fine

520
Sothan
1 month ago
S
Explorer
Sarita NavuluruExplorer
published in Blogs
SIGGRAPH 2024: Recap and Insights

I was excited to attend SIGGRAPH 2024! 🚀Generative AI was truly a societal game-changer. The conference highlighted how cutting-edge companies were leveraging GenAI across industries such as Gaming, Media and Entertainment, Manufacturing, AEC, Robotics, and Autonomous Vehicles.In a light-hearted moment at the event, Mark Zuckerberg and Jensen Huang swapped jerseys, showcasing mutual respect and camaraderie. This kind of collaborative spirit was what drove innovation and progress in our field.I was incredibly proud of our Z by HP Team for continuing to push the AI conversation to new heights! This year at SIGGRAPH2024, Z by HP teamed up with NVIDIA AI to demonstrate how advanced AI workflows were conducted through our powerhouse Z Workstations. If you attended the conference, I hoped you visited us at Booth 501!Key insights from the event:💡 Meta's open-source approach challenged Apple's dominance in building closed systems.💡 The future of AI would see diversity in AI models rather th

511
Sothan
3 months ago
Sothan
SothanCommunity Manager
published in Blogs
Discover How Teams Power Up for AI Workloads: Insights from Data Scientists and ITDMs

We surveyed around 50 Data Scientists and IT Decision Makers to understand how their teams obtain the necessary compute for workloads and the consideration set used to make these types of decisions. Here are the key highlights: Use of a public cloud is the most popular way to obtain the compute needed to manage AI workloads, though roughly a third of Data Scientists and ITDMs use a combination of sources.  Often time, teams consider the type of work they’re supporting when making decisions about which sources to rely on. Depending on the size of the workload or sensitivity of the data, they may choose one option may over another. Data Scientists and ITDMs admit that cost, flexibility, scalability, security, and performance are important factors.What do you think of the results and how does your team secure the compute resources needed to handle AI workloads?

270
Sothan
5 months ago
C
chloe.pasquetCommunity Manager
published in Community Spotlight
A Data Science Ambassador's Reflection on Kaggle Competitions Over TimeKaggle Competition

HP Data Science Ambassadors are Kaggle Grandmasters and AI Creator innovators that constantly experiment and share findings. Qishen Ha, a Kaggle Competitions Grandmaster shared his thoughts on the evolution of Kaggle computer vision competitions, a reflection of lessons learned and best practices. ======================================================================Reflecting on the Evolution of Computer Vision Competitions on Kaggle: A Personal Perspective Hello Kaggle Community,Having participated earnestly in Kaggle competitions for about five years now, I felt compelled to share some thoughts and musings, particularly on the changes I've observed in computer vision contests on Kaggle over the years. My writing may be a bit sporadic as I'm jotting down thoughts as they come, so please bear with me if it seems a bit scattered.Over the past decade, with the rapid development of computer vision technology—thanks in large part to advancements in hardware—Kaggle's computer vision compet

281
jrgosalvez
6 months ago
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