UK parliamentarians and advocacy organizations are calling for a temporary halt to the use of live facial recognition technology by the police. Concerns are being raised about the potential misuse and ineffectiveness of the technology, as well as its impact on civil liberties and privacy. The move comes in response to a proposal that would…

Open source AI, particularly Meta’s Llama models, has sparked debate and protest regarding the risks of publicly releasing powerful AI models. Protestors argue that open source AI can lead to irreversible proliferation of dangerous technology, while others believe it is necessary for democratizing and building trust in AI. There is ambiguity around the definition and…

AI-generated pop stars like Noonoouri, a virtual influencer created by German designer Joerg Zuber, are making waves in the music industry. Noonoouri recently signed a record deal with Warner Music and has a large following on social media. This blend of technology and music has sparked debates about the authenticity of AI-generated artists. While some…

The human brain is a complex organ that processes information hierarchically and in parallel. Can these techniques be applied to deep learning? Yes, researchers at the University of Copenhagen have developed a neural network called Neural Developmental Program (NDP) that uses hierarchy and parallel processing. The NDP architecture combines a Multilayer Perceptron and a Graph…

The author discusses using Python, network science, and geospatial data to answer the question of whether all roads lead to Rome. They load and visualize the Roman road network data using GeoPandas and Matplotlib. They transform the road network into a graph object using the OSMNx package. They then visualize the network using Gephi. Next,…

PromptBreeder is a new technique developed by Google DeepMind researchers that autonomously evolves prompts for Large Language Models (LLMs). It aims to improve the performance of LLMs across various tasks and domains by iteratively improving both task prompts and mutation prompts. PromptBreeder has shown promising results in benchmark tasks and does not require parameter updates…

In a groundbreaking study, researchers from The University of Texas at Austin trained an AI system to predict earthquakes with 70% accuracy. The AI tool successfully anticipated 14 earthquakes during a seven-month trial in China, placing the seismic events within approximately 200 miles of the estimated locations. This advancement in AI-driven earthquake predictions aims to…

The article discusses the challenges and advancements in 3D instance segmentation, specifically in an open-world environment. It highlights the need for identifying unfamiliar objects and proposes a method for progressively learning new classes without retraining. The authors present experimental protocols and splits to evaluate the effectiveness of their approach.

BrainChip has introduced the second-generation Akida platform, a breakthrough in Edge AI that provides edge devices with powerful processing capabilities and reduces dependence on the cloud. The platform features Temporal Event-Based Neural Network (TENN) acceleration and optional vision transformer hardware, improving performance and reducing computational load. BrainChip has initiated an “early access” program for the…

Researchers from Meta have introduced Retrieval-Augmented Dual Instruction Tuning (RA-DIT), a lightweight fine-tuning methodology to equip large language models (LLMs) with efficient retrieval capabilities. RA-DIT operates through two stages, optimizing the LLM’s use of retrieved information and refining the retriever’s results. It outperforms existing models in knowledge-intensive zero and few-shot learning tasks, showcasing its effectiveness…