Sun.Jun 12, 2022

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Newly identified PACMAN flaw in Apple M1 CPU can't be patched

TechSpot

Led by MIT's Mengjia Yan, researchers from MIT's Computer Science and Artificial Intelligence Laboratory (MIT CSAIL) created the novel attack using a combination of memory corruption and speculative execution to bypass the M1's security. The research team's proof of concept also demonstrated the attack's effectiveness against the CPU kernel, which.

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6 Risk factors that publishers face without digital rights management

Kitaboo

We are all aware of the time and effort that goes into creating high-quality ebooks and other online content. With all the benefits of ease of publishing and access that the Internet provides, it has its share of drawbacks, which may cost the publisher more in terms of revenue and loss of reputation. One such drawback is that the Internet makes it very easy to share and download content.

eBook 78
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New hard to detect malware attacks discovered on Linux-based systems

TechSpot

Intezer's Joakim Kennedy and the Blackberry Research and Intelligence Team discovered that the threat presents as a shared object library (SO) rather than a typical executable file that users must run to infect a host. Once infected, the SO is loaded into currently running processes on the target machine.

Malware 128
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Intel 4 process might enable 20 percent higher clock speeds with identical power consumption

TechSpot

A Twitter user leaked a few slides from Intel's upcoming presentation at the IEEE VLSI Symposium 2022 before deleting them a few hours later. The slides detail the new Intel 4 process node and contain a die shot of an unreleased Meteor Lake-P processor. As a reminder, Intel expects to.

Intel 122
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Peak Performance: Continuous Testing & Evaluation of LLM-Based Applications

Speaker: Aarushi Kansal, AI Leader & Author and Tony Karrer, Founder & CTO at Aggregage

Software leaders who are building applications based on Large Language Models (LLMs) often find it a challenge to achieve reliability. It’s no surprise given the non-deterministic nature of LLMs. To effectively create reliable LLM-based (often with RAG) applications, extensive testing and evaluation processes are crucial. This often ends up involving meticulous adjustments to prompts.