Artificial Intelligence (AI)
Google DeepMind at NeurIPS 2024
Research Published 5 December 2024 Advancing adaptive AI agents, empowering 3D scene creation, and innovating LLM training for a smarter, safer future Next week, AI researchers worldwide will gather for the 38th Annual Conference on Neural Information Processing Systems (NeurIPS), taking place December 10-15 in Vancouver, Two papers led by Google DeepMind researchers will be…
Startup’s autonomous drones precisely track warehouse inventories
Whether you’re a fulfillment center, a manufacturer, or a distributor, speed is king. But getting products out the door quickly requires workers to know where those products are located in their warehouses at all times. That may sound obvious, but lost or misplaced inventory is a major problem in warehouses around the world. Corvus Robotics…
How to Evaluate Jailbreak Methods: A Case Study with the StrongREJECT Benchmark
When we began studying jailbreak evaluations, we found a fascinating paper claiming that you could jailbreak frontier LLMs simply by translating forbidden prompts into obscure languages. Excited by this result, we attempted to reproduce it and found something unexpected.
Can AI Models Scale Knowledge Storage Efficiently? Meta Researchers Advance Memory Layer Capabilities at Scale
The field of neural network architectures has witnessed rapid advancements as researchers explore innovative ways to enhance computational efficiency while maintaining or improving model performance. Traditional dense networks rely heavily on computationally expensive matrix operations to encode and store information. This reliance poses challenges when scaling these models for real-world applications that demand extensive knowledge…
100 Game-Changing AI Statistics for 2025: Trends Shaping Our Future
Hey AI Enthusiasts! Artificial Intelligence (AI) is no longer a futuristic concept—it is a powerful force driving innovation and transformation across industries. As we approach 2025, the AI landscape continues to evolve, presenting new opportunities, challenges, and breakthroughs. To help businesses, professionals, and technology enthusiasts stay ahead, we have compiled 100 fresh AI statistics that…
As AI advances, gaming studios, developers, and players face a new reality | DailyAI
From the rise of 3D graphics to the explosion of mobile gaming, technological progress has always driven the gaming industry forward. AI marks the latest chapter in the industry’s development, a chapter that presents both imminent challenges and longer-term existential questions. A recent survey by the Game Developers Conference found that 84% of developers are…
Can “Safe AI” Companies Survive in an Unrestrained AI Landscape? • AI Blog
As artificial intelligence (AI) continues to advance, the landscape is becoming increasingly competitive and ethically fraught. Companies like Anthropic, which have missions centered on developing “safe AI,” face unique challenges in an ecosystem where speed, innovation, and unconstrained power are often prioritized over safety and ethical considerations. In this post, we explore whether such companies…
Monetizing Research for AI Training: The Risks and Best Practices
As the demand for generative AI grows, so does the hunger for high-quality data to train these systems. Scholarly publishers have started to monetize their research content to provide training data for large language models (LLMs). While this development is creating a new revenue stream for publishers and empowering generative AI for scientific discoveries, it…
FACTS Grounding: A new benchmark for evaluating the factuality of large language models
Responsibility & Safety Published 17 December 2024 Authors FACTS team Our comprehensive benchmark and online leaderboard offer a much-needed measure of how accurately LLMs ground their responses in provided source material and avoid hallucinations Large language models (LLMs) are transforming how we access information, yet their grip on factual accuracy remains imperfect. They can “hallucinate”…
Ecologists find computer vision models’ blind spots in retrieving wildlife images
Try taking a picture of each of North America’s roughly 11,000 tree species, and you’ll have a mere fraction of the millions of photos within nature image datasets. These massive collections of snapshots — ranging from butterflies to humpback whales — are a great research tool for ecologists because they provide evidence of organisms’ unique behaviors, rare conditions,…