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Microsoft Launches Quantum Ready Program

February 24th, 2025 |
microsoft quantum ready program graphic

Microsoft launched its Quantum Ready program intended to help provide businesses with tools and preparation for quantum computing. The program is being offered just as the International Year of Quantum Science and Technology (United Nations) activities start picking up steam and was announced in a Microsoft blog — 2025: The year to become Quantum-Ready. The […]

Google Introduces New Digital-Analog Quantum Simulation

February 21st, 2025 |
google quantum featured image

Google Quantum AI introduced a new hybrid digital-analog approach to quantum simulation that combines gates (digital) and analog simulation. The impressive work is being reported in Nature today in which the new approach was demonstrated on Google’s 69-qubit Sycamore device and there are plans for use on Google’s new 100-qubit Willow chip. The post Google […]

Technology vs. Nature: The Complex Role of AI in Wildfire Control

February 18th, 2025 |
wildfire damage

The recent wildfires in Los Angeles County have highlighted the complex role of artificial intelligence in both fighting fires and potentially contributing to the conditions that fuel them. AI has emerged as a promising tool for wildfire prediction and resource allocation, but its substantial energy and water needs raise valid concerns in a state already […]

AI Set to Improve Pharmaceutical R&D Productivity and Lower the Costs Says GlobalData

February 12th, 2025 |
Al to Enhance Productivity and Lower the Costs - pie chart graphics

Artificial intelligence (AI) has the potential to significantly reduce pharmaceutical R&D costs by streamlining drug discovery, optimizing clinical trials, and minimizing costly failures through data-driven predictions and effectiveness assessments. This potential was acknowledged by the pharmaceutical industry professionals in a survey* conducted by GlobalData, a leading data and analytics company. The post AI Set to […]

Andrew Ng: DeepSeek-R1 and the Future of Generative AI

February 10th, 2025 |
deepseek logo

AI researcher Andrew Ng explores the rapid advancements in China’s generative AI landscape, highlighting the emergence of open weight models like DeepSeek-R1 and their implications for the global AI supply chain. Bigger models get all the buzz, but Ng reminds us that smart algorithms matter just as much. After all, what good is a massive […]

How AI Factories are Creating “InfraTech,” a New Chapter in IT Infrastructure

January 31st, 2025 |
AI Factories

In high-performance computing (HPC), three critical infrastructure technologies— AI factories, liquid cooling, and modular datacenters—are reshaping how organizations design and scale their IT systems. As digital transformation accelerates, AI takes a central role in business strategy, and high-density processing becomes the norm, these technologies have emerged as essential pre-requisites and are forming the new “InfraTech” […]

DeepSeek Week: What (Almost) Everyone Missed

January 30th, 2025 |
deepseek logo

[Last Week], news of DeepSeek GPT swept through the media. The market reacted, and many hardware companies (e.g., Nvidia, ASML, Broadcom, Marvell) saw a drop in their market value. Presumably, the demand for truckloads of GPUs will be reduced because DeepSeek has delivered a foundation model that rivals the “big kids” at 1/50 the cost. […]

Why Supercomputer Benchmarking Is So Important

January 28th, 2025 |
top 500: the list

For AI, benchmarks such as MLPerf help hyperscalers get a real-world view of performance and optimize new models to hardware. The benchmark tells the company that the model can be fine-tuned further for GPUs or ASICs. Here are some reasons why benchmarks are important. The post Why Supercomputer Benchmarking Is So Important appeared first on […]

Shining a Light on AI Risks: Inside MLCommons’ AILuminate Benchmark

January 27th, 2025 |
The 12 hazards from malicious or vulnerable users

As the world continues to navigate new pathways brought about by generative AI, the need for tools that can illuminate the risk and reliability of these systems has never felt more urgent. MLCommons is working to shine a light into the black box of AI with its new safety benchmark for large language models, AILuminate […]

Berkeley Researchers Crack Open ‘AI-at-Scale’ Method for Chemical Science

January 21st, 2025 |
A reaction path generated by a novel path optimization method under development by Samuel Blau and co workers using EScAIP trained on Open Catalyst Project data EScAIPs speed and low memory cost are critical for optimizing reaction paths of structures containing many atoms

Dec. 12, 2024 — Quantum calculations of molecular systems often require extraordinary amounts of computing power; these calculations are typically performed on the world’s largest supercomputers to better understand real-world products such as batteries and semiconductors. The post Berkeley Researchers Crack Open ‘AI-at-Scale’ Method for Chemical Science appeared first on HPCwire.