Latest AI & Business News
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These 5 Automatic Cat Feeders Were the Best We Tested
We tested some of the most popular automatic dry and wet food pet feeders to see which ones are worth the money.
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The FBI Still Hasn’t Cracked NYC Mayor Eric Adams’ Phone
Plus: Harvard students pack Meta’s smart glasses with privacy-invading face-recognition tech, Microsoft and the DOJ seize Russian hackers’ domains, and more.
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Alcohol Plays a Major Role in New Cancer Cases
A new report estimates that 40 percent of all cancer cases are associated with factors we can change—alcohol consumption being a prominent one.
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Hurricane Helene Destroyed Roads. Here’s How to Rebuild—and Flood-Proof Them for Next Time
As it becomes clear that climate change devastation can hit anywhere, engineers are considering how best to protect vital thoroughfares from intense storms.
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What You Need to Know Before You Freeze Your Eggs
Celebrities do it (or wish they had), influencers won’t stop talking about it, and clinics will all but tell you to do it now. The devil, though, is in the details.
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XR-Objects: A New Open-Source Augmented Reality Prototype that Transforms Physical Objects into Interactive Digital Portals Using Real-Time Object Segmentation and Multimodal Large Language Models
Advancements in Extended Reality (XR) have allowed for the fusion of real-world entities within the virtual world. However, despite the innumerable sensors, plethora of cameras, and expensive computer vision techniques, this integration poses a few critical questions. 1 ) Does this blend truly capture the essence of real-world objects or merely treat them as a…
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GemFilter: A Novel AI Approach to Accelerate LLM Inference and Reduce Memory Consumption for Long Context Inputs
Large Language Models (LLMs) have become integral to numerous AI systems, showcasing remarkable capabilities in various applications. However, as the demand for processing long-context inputs grows, researchers face significant challenges in optimizing LLM performance. The ability to handle extensive input sequences is crucial for enhancing AI agents’ functionality and improving retrieval augmented generation techniques. While…
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LASER: An Adaptive Method for Selecting Reward Models RMs and Iteratively Training LLMs Using Multiple Reward Models RMs
One of the major challenges in aligning large language models (LLMs) with human preferences is the difficulty in selecting the right reward model (RM) to guide their training. A single RM may excel at tasks like creative writing but fail in more logic-oriented areas like mathematical reasoning. This lack of generalization leads to suboptimal performance…
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a2z Radiology AI Introduces a2z-1: An AI that Analyzes Abdominal-Pelvis CT Scans and Reports to Catch Potential Misses Across 21 Conditions
In a significant stride for radiology, a2z Radiology AI emerged from stealth mode today, unveiling its vision to create an AI-powered safety net for radiologists. The company’s first product, a2z-1, enhances quality assurance (QA) in interpreting abdominal-pelvis CT scans, ensuring no disease is missed. The name “a2z” highlights the AI’s comprehensive approach, aiming to detect…
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FaithEval: A New and Comprehensive AI Benchmark Dedicated to Evaluating Contextual Faithfulness in LLMs Across Three Diverse Tasks- Unanswerable, Inconsistent, and Counterfactual Contexts
Natural language processing (NLP) has seen rapid advancements, with large language models (LLMs) leading the charge in transforming how text is generated and interpreted. These models have showcased an impressive ability to create fluent and coherent responses across various applications, from chatbots to summarization tools. However, deploying these models in critical fields such as finance,…