Author: admin

The Information Commissioner’s Office and National Crime Agency have cemented ties with a memorandum of understanding

September’s Patch Tuesday fix-list features scores of CVEs including four zero-day vulnerabilities

How to make the most of the new features in Sophos Firewall v21

Chinese cyberespionage campaign renews efforts in multiple organizations in Southeast Asia, blending tactics and expanding efforts 

New research evaluating the effectiveness of reward modeling during Reinforcement Learning from Human Feedback (RLHF): “SEAL: Systematic Error Analysis for Value ALignment.” The paper introduces quantitative metrics for evaluating the effectiveness of modeling and aligning human values:

Abstract: Reinforcement Learning from Human Feedback (RLHF) aims to align language models (LMs) with human values by training reward models (RMs) on binary preferences and using these RMs to fine-tune the base LMs. Despite its importance, the internal mechanisms of RLHF remain poorly understood. This paper introduces new metrics to evaluate the effectiveness of modeling and aligning human values, namely feature imprint, alignment resistance and alignment robustness. We categorize alignment datasets into target features (desired values) and spoiler features (undesired concepts). By regressing RM scores against these features, we quantify the extent to which RMs reward them ­ a metric we term feature imprint. We define alignment resistance as the proportion of the preference dataset where RMs fail to match human preferences, and we assess alignment robustness by analyzing RM responses to perturbed inputs. Our experiments, utilizing open-source components like the Anthropic preference dataset and OpenAssistant RMs, reveal significant imprints of target features and a notable sensitivity to spoiler features. We observed a 26% incidence of alignment resistance in portions of the dataset where LM-labelers disagreed with human preferences. Furthermore, we find that misalignment often arises from ambiguous entries within the alignment dataset. These findings underscore the importance of scrutinizing both RMs and alignment datasets for a deeper understanding of value alignment.

As technology rapidly advances, the boundaries of what’s possible in personal computing are continuously expanding. One of the most exciting innovations on the horizon is the concept of the AI PC, which stands for Artificial Intelligence Personal Computer. AI PCs accounted for 14% of all personal computers shipped in the second quarter of 2024, with demand expected to continue to grow.

These intelligent machines are set to transform the way we interact with our computers, offering unprecedented performance and personalization. Let’s delve into what an AI PC is, explore the benefits it offers consumers, and understand how it is reshaping the future of computing.

What is an AI PC

An AI PC is a computing device that integrates artificial intelligence capabilities directly into its hardware and software. Unlike traditional PCs, which rely on external software or cloud services for AI functionalities, AI PCs have built-in AI processors or coprocessors that enable them to perform intelligent tasks locally.

These machines leverage advanced AI algorithms to enhance various aspects of computing, from performance and efficiency to user experience and security. They have a neural processing unit (NPU), “a type of processor designed to handle the mathematical computations specific to machine learning algorithms.” NPU speed is now measured by “trillions of operations per second” (TOPS).

Benefits of AI PCs

By embedding AI capabilities into the core of the PC, these devices can offer a more responsive, personalized, and secure computing environment. Here’s how they are transforming personal computing:

1. Enhanced Performance Through Intelligent Automation

One of the standout features of AI PCs is their ability to automate and optimize tasks intelligently. AI PCs can learn from user behavior and system performance to streamline processes and improve efficiency. For example, AI can manage system resources dynamically, prioritizing tasks based on current needs and usage patterns. This means that applications requiring high performance, such as gaming or video editing, can run more smoothly without manual intervention.

AI algorithms can also predict and pre-load applications and files that users are likely to access next, reducing load times and improving overall responsiveness. This level of automation and optimization ensures that users experience a seamless and efficient computing environment.

2. Improved Efficiency in Processing Data-Intensive Applications

Data-intensive applications, such as those used for machine learning, scientific research, and complex simulations, benefit greatly from the power of AI PCs. These machines are equipped with specialized AI processors designed to handle large volumes of data quickly and efficiently. By offloading specific tasks to these AI processors, the main CPU is freed up to handle other operations, resulting in faster processing speeds and reduced latency.

For professionals and researchers working with big data or computationally heavy applications, AI PCs can drastically cut down processing times and enhance productivity. The integration of AI ensures that these applications can perform complex calculations and analyses with greater accuracy and speed.

3. Personalized User Experiences

AI PCs excel in delivering personalized user experiences by learning and adapting to individual preferences and behaviors. Through continuous learning, AI systems can customize the operating environment based on how users interact with their PCs. This can include adjusting system settings, recommending software or files, and even optimizing user interfaces to align with personal habits and preferences.

For example, an AI PC might analyze your work patterns and suggest tools or shortcuts that enhance productivity. It can also personalize your entertainment experience by recommending media content based on your viewing history and preferences. This level of personalization creates a more intuitive and enjoyable user experience.

4. AI-Driven Threat Detection and Mitigation

Cybersecurity has become a constant underlying threat in the digital age. Last year, 880,418 Americans reported cybercrime to the FBI’s Internet Crime Complaint Center, which was a 10% increase from 2022.

AI PCs are addressing this issue with advanced threat detection and mitigation capabilities. AI-driven security systems can analyze patterns and behaviors to identify potential threats such as malware, phishing attempts, or unauthorized access. AI-driven security systems use machine learning algorithms to detect threats in real-time. This proactive approach enhances the protection of sensitive data and ensures a safer computing environment.

5. Assistance with Everyday Personal Tasks

AI PCs are not just about high-performance computing and security; they also excel in assisting with everyday personal tasks. For instance, AI-powered virtual assistants integrated into the PC can help manage schedules, set reminders, and perform routine tasks such as composing emails or creating documents.

These virtual assistants learn from user interactions to offer more accurate and contextually relevant assistance. They can also automate repetitive tasks, such as file organization or data entry, saving users time and effort. By handling mundane activities, AI PCs allow consumers to focus on more complex and creative tasks.

The Future of AI PCs

The integration of AI into personal computing is a glimpse into the future of technology. As AI PCs become more advanced, we can expect even greater enhancements in performance, efficiency, and user experience. These devices are not just about adding new features; they represent a fundamental shift in how we interact with technology, making computing more intuitive, personalized, and secure.

As we move forward, keeping an eye on these advancements will be crucial in harnessing their full potential and embracing the next era of personal computing. The future of AI PCs is here, and it’s poised to redefine how we interact with our digital world.

The post What is an AI PC? appeared first on McAfee Blog.

Highline Public Schools in Washington State have now been closed for two days following the incident

TIDRONE group targets military, drone and satellite industries in Taiwan

The Justice Department has begun the latest round of fraud reimbursement from the Western Union Remission Fund

Researchers have warned that a critical SonicWall vulnerability is being exploited in ransomware attacks