Articles for category: AI News

March 6, 2025

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Starter Guide For Running Large Language Models LLMs

Running large language models (LLMs) presents significant challenges due to their hardware demands, but numerous options exist to make these powerful tools accessible. Today’s landscape offers several approaches – from consuming models through APIs provided by major players like OpenAI and Anthropic, to deploying open-source alternatives via platforms such as Hugging Face and Ollama. Whether you’re interfacing with models remotely or running them locally, understanding key techniques like prompt engineering and output structuring can substantially improve performance for your specific applications. This article explores the practical aspects of implementing LLMs, providing developers with the knowledge to navigate hardware constraints, select

March 6, 2025

ikayaniaamirshahzad@gmail.com

Google Launches Data Science Agent for Colab

Getting started with data science and AI often means spending a lot of time setting things up – loading libraries, organizing data, and setting environments. This tedious work can often take away focus from tasks that truly matter, such as data exploration and deriving insights from data.  Recent AI advancements are helping make it easier to skip the setup phase. We know how much hype has been created by AI Agents over the last few months. What if there is an agent specifically designed for data analysis? Could it help analyze, sort, and draw insights from vast volumes of data? 

March 6, 2025

ikayaniaamirshahzad@gmail.com

Ceramic.ai Emerges from Stealth, Reports 2.5x Faster Model Training

SAN FRANCISCO — March 5, 2025 — Ceramic.ai emerged from stealth today with software for foundation model training infrastructure designed to enable enterprises to build and fine-tune generative AI models more efficiently. Founded by Anna Patterson, former Google VP of Engineering and Gradient Ventures founder, Ceramic.ai said it improves AI model training speed and cost-efficiency, offering up to a 2.5x performance boost, accelerated by NVIDIA. Ceramic.ai also said it secured $12 million in seed funding from NEA, IBM, Samsung Next, Earthshot Ventures and Alumni Ventures. “In the midst of a surge in AI adoption, too many companies are still hindered

March 6, 2025

ikayaniaamirshahzad@gmail.com

The key new features in .NET 10

Supporting next-generation silicon Other compiler-level features target upcoming new x64 instructions, specifically AVX 10.2. These add important new processor features across a wide selection of different tasks: from AI to WebAssembly and cryptography. More and more of today’s software depends on vector processing, and support for these new features will allow .NET code to work more effectively. However, silicon that supports these new functions is still under development, so while there’s support ready for when processors ship, it’s currently disabled. With a three-year support window, getting features like this baked into .NET early makes a lot of sense. Microsoft can

March 6, 2025

ikayaniaamirshahzad@gmail.com

AI Overthinking: How LLMs Fall into Analysis Paralysis

Recent advances in large language models (LLMs) have drastically improved their ability to reason through answers to prompts. But it turns out that as their ability to reason improves, they increasingly fall victim to a relatable problem: analysis paralysis. A recent preprint paper from a large team, which includes authors from the University of California, Berkeley; ETH Zurich; Carnegie Mellon University; and the University of Illinois Urbana Champaign, found that LLMs with reasoning are prone to overthinking. In other words, the model gets stuck in its own head. What does it mean to overthink? The paper on overthinking, which has

March 6, 2025

ikayaniaamirshahzad@gmail.com

How to Use AI in Business

Artificial intelligence is taking the business world by storm, as it is an impressive technology that can serve many uses within the workplace. While the future of AI is not guaranteed, the AI market size worldwide grew beyond $184 billion in 2024 and is expected to grow past $826 billion in 2030, according to Statista. With so many organizations profiting through the integration of AI within their internal operations, business owners don’t want to be left behind in this lucrative movement. Fortunately, AI technology is more accessible than ever before, allowing more businesses to take advantage of its benefits to

March 6, 2025

ikayaniaamirshahzad@gmail.com

My compliments to the chef: Researcher studies robots in the kitchen

Walking into your favorite restaurant and seeing a robot chef in the kitchen may seem far-fetched, but a University of Mississippi professor’s research says bots could be a solution to persistent labor shortages in the industry. Jeffrey Pittman II, instructional assistant professor in nutrition and hospitality management, is researching the potential benefits — and numerous doubts — that surround robots invading the kitchen. “We have to look at this from the standpoint of, ‘What benefits can these robots offer if they are implemented?'” he said. “What benefit can they have not just to the restaurant owner, but to the other

March 6, 2025

ikayaniaamirshahzad@gmail.com

DOGE’s $1 Federal Spending Limit Is Straight Out of the Twitter Playbook

Katie Drummond: Right. Move fast and break things as we’ve been saying a lot at WIRED in the last few months. We’re going to take a short break, when we come back, what you need to read on WIRED today. Welcome back to Uncanny Valley. I’m Katie Drummond, WIRED’s global editorial director. I’m joined by WIRED’s director of business and industry, Zoë Schiffer. Now Zoë, before I let you go, tell our listeners what they absolutely must read, must read on WIRED.com today, other than the stories we talked about in this episode. Zoë Schiffer: OK. I wish I had

March 6, 2025

ikayaniaamirshahzad@gmail.com

Scientists Say Google’s “AI Scientist” Is Dead on Arrival

Is Google’s so-called “AI co-scientist” poised to revolutionize scientific research as we know it? Not according to its human colleagues. The Gemini 2.0 based tool, announced by Google last month, can purportedly come up with hypotheses and detailed research plans by using “advanced reasoning” to “mirror the reasoning process underpinning the scientific method.” This process is powered by multiple Gemini “agents” that essentially debate and bounce ideas off each other, refining them over time. The yet-unnamed tool would give scientists “superpowers,” Alan Karthikesalingam, an AI researcher at Google, told New Scientist last month. And even biomedical researchers at Imperial College

March 6, 2025

ikayaniaamirshahzad@gmail.com

Black Inc has asked authors to sign AI agreements. But why should writers help AI learn how to do their job?

Melbourne-based publisher Black Inc Books is seeking to partner with an unnamed AI company or companies and wants its authors to allow their work to be used to train artificial intelligence. Writers were reportedly asked to permit Black Inc the ability to exercise key rights within their copyright to help develop machine learning and AI systems. This includes using the writers’ work in the training, testing, validation and subsequent deployment of AI systems. The contract is offered on an opt-in basis, said a Black Inc spokesperson, and the company would negotiate with “reputable” AI companies. But authors, literary agents and