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The semiconductor industry increasingly needs more flexible and scalable processor architectures, driving the growing adoption of RISC-V. Originally developed at the University of California, Berkeley, the open-source RISC-V instruction set architecture (ISA) has become very popular in recent years. RISC-V allows designers to customize their processor implementations to meet the specific needs of their target […]

AI can help solve some of the world’s biggest challenges — whether climate change, cancer or national security — U.S. Secretary of Energy Jennifer Granholm emphasized today during her remarks at the AI for Science, Energy and Security session at the NVIDIA AI Summit, in Washington, D.C. Granholm went on to highlight the pivotal role

Meta’s Instagram has just unveiled updates focused on safeguarding teens from sextortion scams. Central to these updates is blocking users from screenshotting private media sent in direct messages (DMs). Previously, users could take screenshots of temporary photos or videos, but the sender would be notified. Now, Instagram is taking it further by ensuring you can’t

Introduction In machine learning and artificial intelligence, adversarial attacks have gained much attention from researchers. These attacks alter the inputs to mislead the model into making wrong predictions. Among these, the Fast Gradient Sign Method (FGSM), is particularly worth mentioning because of its effectiveness and simplicity . The significance of FGSM lies in its ability

Simulations play a critical role in advancing science and engineering, especially in the vast field of fluid dynamics. However, high-fidelity fluid simulations require extensive computational resources, often constraining practical applications. Accurately simulating complex flows can take weeks of computational effort, slowing down advancements in critical fields such as aerospace and environmental engineering.  Machine learning (ML)

DataPelago last week emerged from stealth with a new virtualization layer that it says will allow users to move AI, data analytics, and ETL workloads to whatever physical processor they want, without making code changes, thereby bringing potentially large new efficiency and performance gains to the fields of data science, data analytics, and data engineering,

By Volkhard Beyer and Dirk Mayer Microelectronics support the fight against climate change and for a better environment; for example, by intelligently controlling drive units, ensuring optimal operation of energy systems, and monitoring the resource requirements of production processes. Unfortunately, however, the ICT sector itself is one of the fastest-growing emitters of greenhouse gases and

Archetype AI has introduced an AI model called Newton that can grasp physical phenomena without needing humans to provide any training or rules. The model processes raw sensor data to make accurate predictions across various fields, from mechanics to energy systems, by analyzing patterns instead of being given specific equations. Learning Without Help from Humans

There are multiple layers to a Clans battle. There is your actual movement, which can take getting used to, with your legs moving on their own trajectory while you swivel your torso. There is your squad and how they’re deployed, which takes up many of your background thought cycles. And there is your mech, its heating levels,

The growth of AI is driving exponential growth in computing power and a doubling of networking speeds every few years. Less well-known is that it’s also putting new demands on storage.  Training new models typically requires high-bandwidth networked access to petabytes of data, while inference with the latest types of retrieval augmented generation (RAG) requires