Musk announces first human Neuralink brain implant

Practical AI Solutions for Your Company Researchers at Arizona State University Evaluates ReAct Prompting: The Role of Example Similarity in Enhancing Large Language Model Reasoning If you want to evolve your company with AI, stay competitive,…

Challenges in Deploying Deep Neural Networks (DNNs) Implementing DNNs on devices like smartphones and self-driving cars is tough because they require a lot of computing power. Current pruning methods struggle to achieve a good balance between…

Researchers from the University of Cambridge have developed an algorithm called Foot Optimisation, using Uncertain Normals for Surface Deformation (FOUND), which improves the reconstruction of 3D foot models from pictures. They have also released a large-scale…

The InstructVideo method, developed by a team of researchers, enhances the visual quality of generated videos without compromising generalization capabilities. It incorporates efficient fine-tuning techniques using human feedback and image reward models. Segmental Video Reward and…

Evaluating LLM Compression Techniques Introduction Evaluating the effectiveness of Large Language Model (LLM) compression techniques is crucial for optimizing efficiency, reducing computational costs, and latency. Challenges Traditional evaluation practices focus primarily on accuracy metrics, overlooking changes…

Recent research highlights concerns about Large Language Models (LLMs), such as biased outputs and environmental impacts. Further details are available on Towards Data Science.

Bilevel Optimization for Machine Learning Tasks Bilevel optimization (BO) is gaining attention for its success in machine learning tasks such as hyperparameter optimization, meta-learning, and reinforcement learning. However, it faces challenges when applied to large-scale problems…

Kinara introduces the Ara-2 processor, boasting eightfold performance improvement over its predecessor. It caters to large language models and generative AI on-device, offering distinct functionalities. Ara-2 enhances object detection, recognition, and tracking, and is anticipated to…

Understanding Large Language Models (LLMs) Large Language Models (LLMs) are powerful tools used in many applications. However, their use comes with challenges. One major issue is the quality of the training data, which can include harmful…

The text can be summarized as follows: The article discusses the use of LoRA (Low-Rank Adaptation) for fine-tuning language models. The summary highlights the practical strategies for achieving good performance and parameter efficiency using LoRA. It…

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Mitigating Hallucination in Multimodal Large Language Models Multimodal large language models (MLLMs) blend language processing and computer vision to understand and respond to both text and imagery. They excel at tasks like describing photographs and answering…

A disgruntled customer of UK parcel delivery company DPD made their customer service chatbot misbehave until the company had to take it down. Musician Ashley Beauchamp got the chatbot to compose a poem about DPD’s poor…

Voice Interaction Technology Advancements Voice interaction technology has evolved significantly with the help of artificial intelligence (AI). It focuses on improving natural communication between humans and machines to make interactions more intuitive and human-like. Primary Challenge…

Path planning, a method used to find the best route from one point to another within a map, is often done through search-based planning techniques like A* search. Recent studies highlight the benefits of data-driven path…

AutoRT, SARA-RT, and RT-Trajectory expand on our previous Robotics Transformers to improve robots’ decision-making speed, understanding, and navigation in diverse environments.

Understanding Generative Agents Generative agents are AI models designed to mimic human behavior and attitudes in various situations. They help us understand how people interact and can be used to test theories in fields like sociology,…