Mean Average Precision News Today

Researchers have introduced what they call the first spatial, audio-based LLM that can reason about sounds in a 3-D environment.

In Part 1 of this article series, I tested and reviewed Seeed Studio’s SenseCAP K1100 Kit for prototyping IoT apps. This month in Part 2, I discuss the prototype I built using a Wio Terminal and a Vision AI Module from the kit, and an ESP32-based audio player/web server. The system detects when my dog tries to “mark territory” in my yard, then plays an audio warning file of my recorded voice to try to distract the dog and stop the behavior.

We’ve noticed an unusual training pattern in fine-tuning LLMs. At first we thought it’s a bug, but now we think it shows LLMs can learn effectively from a single example.

Deadline: 9-Jul-23 RACE REVA University has launched the Hackathon on Plastic-Free Rivers With Artificial Intelligence Towards Sustainability to create

We explain, define, and demystify common object detection metrics, including mean average precision (mAP) and mean average recall (mAR).

The increased global waste generation rates over the last few decades have made the waste management task a significant problem. One of the potential approaches adopted globally is to recycle a significant portion of generated waste. However, the contamination of recyclable waste has been a major problem in this context and causes almost 75% of recyclable waste to be unusable. For sustainable development, efficient management and recycling of waste are of huge importance. To reduce the waste con...

The presence of floodborne objects (i.e., vegetation, urban objects) during floods is considered a very critical factor because of their non-linear complex hydrodynamics and impacts on flooding outcomes (e.g., diversion of flows, damage to structures, downstream scouring, failure of structures). Conventional flood models are unable to incorporate the impact of floodborne objects mainly because of the highly complex hydrodynamics and non-linear nature associated with their kinematics and accumula...

A new paper from the Hyundai Motor Group Innovation Center at Singapore offers a method for separating 'fused' humans in computer vision – those cases where the object recognition framework has found a human that is in some way 'too close' to another human (such as 'hugging' actions, or 'standing be

By Jodi Sloan and Selina Li Over 2 million users visit Shopify’s Help Center every month to find help solving a problem. They come to the Help Center with different motives: learn how to set up their store, find tips on how to market, or get advice on troubleshooting a technical issue. Our search product helps users narrow down what they’re looking for by surfacing what’s most relevant for them. Algorithms empower search products to surface the most suitable results, but how do you know i...