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Reddit – Dive into anything

We value your privacy Reddit and its partners use cookies and similar technologies to provide you with a better experience. By accepting all cookies, you agree to our use of cookies to deliver and maintain our services and site, improve the quality of Reddit, personalize Reddit content and advertising, and measure the effectiveness of advertising. By rejecting non-essential cookies, Reddit may still use certain cookies to ensure the proper functionality of our platform. For more information, please see our Cookie Notice and our Privacy Policy. Source link

SoftBank’s Arm to Play Key Role in Malaysia’s Chip Ambitions

(Bloomberg) — Arm Holdings Plc has agreed to provide chip designs and technology to Malaysia over the next decade, aimed at catapulting the Southeast Asian country beyond chip assembly and into more valuable semiconductor production. Most Read from Bloomberg Malaysia, which packages roughly a tenth of the world’s semiconductors, has inked a pact to pay the SoftBank Group Corp.-owned UK firm $250 million over a period of ten years for a slew of semiconductor-related licenses and knowhow. The government plans to use that to aid local companies design their own chips and target semiconductor exports of 1.2 trillion ringgit ($270

Enhancing Costmap for Off-Road Navigation with Robust IR-RGB Fusion for Improved Day and Night Traversability

[Submitted on 4 Dec 2024 (v1), last revised 2 Mar 2025 (this version, v2)] View a PDF of the paper titled IRisPath: Enhancing Costmap for Off-Road Navigation with Robust IR-RGB Fusion for Improved Day and Night Traversability, by Saksham Sharma and 2 other authors View PDF HTML (experimental) Abstract:Autonomous off-road navigation is required for applications in agriculture, construction, search and rescue and defence. Traditional on-road autonomous methods struggle with dynamic terrains, leading to poor vehicle control in off-road conditions. Recent deep-learning models have used perception sensors along with kinesthetic feedback for navigation on such terrains. However, this approach has out-of-domain

JDK 25 kicks off with a stable values API

While Java Development Kit 25 is not set to arrive until September, the first feature already has been proposed for it — a preview of a stable values API that promises to improve startup of Java applications. Stable values are objects that hold immutable data. Because stable values are treated as constants by the JVM, they allow for the same performance optimizations that are enabled by declaring a field final. At the same time, they offer greater flexibility as to the timing of initialization. Thus they could be used to improve the startup of Java applications by breaking up the

Qwen2 VL – Inference and Fine-Tuning for Understanding Charts

Vision-Language understanding models are playing a crucial role in deep learning now. They can help us summarize, answer questions, and even generate reports faster for complex images. One such family of models is the Qwen2 VL. They have instruct models in the range of 2B, 7B, and 72B parameters. The smaller 2B models, although fast and require less memory, do not perform well on chart understanding. In this article, we will cover two aspects while dealing with the Qwen2 VL models – inference and fine-tuning for understanding charts. Figure 1. Inference demo using the fine-tuned Qwen2 VL model. Here, we

AI-powered practice – by Doan Winkel and Mamie Rheingold

“If I’m interested in interviewing single moms and I’m practicing those interviews with a 19-year-old dude, he can’t actually play that character,” says , who leads the entrepreneurship program at John Carroll University. For years, Doan relied on traditional role-playing exercises to teach customer interviewing — pairing students to simulate conversations with potential customers for their business ideas. The results? Unconvincing and ineffective. “Either you’re practicing with a friend, so it doesn’t feel real, or you’re paired with someone random, and it’s just super-awkward.” Doan has replaced these clunky classroom exercises with custom GPTs designed to simulate authentic customer interactions.

Reddit – Dive into anything

We value your privacy Reddit and its partners use cookies and similar technologies to provide you with a better experience. By accepting all cookies, you agree to our use of cookies to deliver and maintain our services and site, improve the quality of Reddit, personalize Reddit content and advertising, and measure the effectiveness of advertising. By rejecting non-essential cookies, Reddit may still use certain cookies to ensure the proper functionality of our platform. For more information, please see our Cookie Notice and our Privacy Policy. Source link

Reddit – Dive into anything

We value your privacy Reddit and its partners use cookies and similar technologies to provide you with a better experience. By accepting all cookies, you agree to our use of cookies to deliver and maintain our services and site, improve the quality of Reddit, personalize Reddit content and advertising, and measure the effectiveness of advertising. By rejecting non-essential cookies, Reddit may still use certain cookies to ensure the proper functionality of our platform. For more information, please see our Cookie Notice and our Privacy Policy. Source link

Nothing Phone 3A and 3A Pro at MWC 2025 Are Fun, Flashy and Affordable

London-based tech firm Nothing has delighted us before with its light-up Android phones that provide some much-needed frivolity in a world full of plain, gray smartphones that take themselves too seriously. The Nothing Phone 3A and 3A Pro are cut from the same cloth as their predecessors, packing solid all-round specs, affordable price tags and an LED-infused design that stands out from the crowd. The Nothing Phone 3A is the base model in the new series, starting at $379 with 12GB RAM and 256GB storage. In the UK, you can pick up a pared-back model with 8GB RAM and 128GB of

Weak-to-Strong Alignment via Multi-Agent Contrastive Preference Optimization

[Submitted on 10 Oct 2024 (v1), last revised 2 Mar 2025 (this version, v2)] View a PDF of the paper titled MACPO: Weak-to-Strong Alignment via Multi-Agent Contrastive Preference Optimization, by Yougang Lyu and 6 other authors View PDF HTML (experimental) Abstract:As large language models (LLMs) are rapidly advancing and achieving near-human capabilities on specific tasks, aligning them with human values is becoming more urgent. In scenarios where LLMs outperform humans, we face a weak-to-strong alignment problem where we need to effectively align strong student LLMs through weak supervision generated by weak teachers. Existing alignment methods mainly focus on strong-to-weak alignment