Artificial Intelligence
Deep active learning combines traditional neural network training with strategic data sample selection, leading to improved model performance, efficiency, and accuracy in various applications.
Google is launching Gemini, its large language model, across its products, offering a subscription plan for Gemini Ultra. It is replacing its ChatGPT rival with Bard, powered by Gemini. Gemini outperforms GPT-4 and is integrated into various tools. Google is focusing on global expansion and ensuring safety through features like SynthID watermarks.
Gemini is being expanded to more Google products.
Speech recognition technology continually seeks advancements in algorithm and models for improved accuracy and efficiency across languages and dialects. Carnegie Mellon University and Honda Research Institute Japan introduce OWSM v3.1, leveraging the E-Branchformer architecture to achieve better results than its predecessor. This innovation sets a new standard in open-source speech recognition.
This survey from Seoul National University explores the challenges and advancements in optimizing language models. It highlights the significant impact of low-cost compression algorithms in reducing model size without sacrificing performance, thus promoting accessibility and sustainability. The study emphasizes the need for continued innovation in compression techniques to unlock the full potential of language models…
A new breakthrough in artificial intelligence has been achieved with MoE-LLaVA, a pioneering framework for large vision-language models (LVLMs). It strategically activates only a fraction of its parameters, maintaining manageable computational costs while expanding capacity and efficiency. This innovative approach sets new benchmarks in balancing model size and computational efficiency, reshaping the future of AI…
Artificial intelligence and mathematical reasoning converge in a dynamic intersection, pushing the boundaries of problem-solving capabilities. Large Language Models (LLMs) exhibit promise in bridging linguistic nuances with mathematical logic, showcasing enhanced performance in handling diverse mathematical challenges. The collaborative effort between technology and mathematics holds the potential to redefine problem-solving approaches, marking significant advancements while…
CFO StraTech 2024 in Riyadh, KSA on February 8, 2024, will gather CFOs to discuss their expanded role, Saudi Arabia’s Vision 2030, and cutting-edge technologies. Over 20 expert speakers and 130 companies will participate, providing networking opportunities and insights on technological and strategic trends. Visit the official website for registration and partnership opportunities.
The Travel Trends AI Summit, taking place on February 21-22, 2024, will explore the profound impact of AI on the travel industry. Leading experts, including representatives from Microsoft and Deloitte, will share insights on leveraging AI for innovation. Attendees can engage in interactive discussions and networking opportunities. Register by February 13 for a special price…
The Generative AI for Automotive Summit 2024, in Frankfurt, Germany, will address the impact of generative AI on vehicle design, development, and manufacturing efficiency. Key figures from leading companies like Toyota, BMW, and Bugatti will speak on topics such as generative models, AI regulations, and autonomous vehicle safety. Registration details will be on the official…
The Large Language Models (LLMs) in Artificial Intelligence (AI) are advancing text generation, translation, and summarization. Yet, limited access reduces comprehension, evaluation, and bias reduction. To address this, the Allen Institute for AI (AI2) introduces OLMo (Open Language Model) to promote transparency in Natural Language Processing. OLMo offers accessibility, evaluation tools, and expansive potential for…
Researchers at UC Berkeley have developed SERL, a software suite for robotic reinforcement learning (RL). This advancement aims to address the challenges in utilizing RL for robotics by providing a sample-efficient off-policy deep RL method and tools for reward computation and environment resetting. The implementation shows significant improvement and robustness, offering a promising tool for…
OpenAI will use the C2PA standard to add metadata to images generated using DALL-E 3, aiming to combat disinformation. The metadata includes origin and edit history and can be verified on sites like Content Credentials Verify. However, the ease of removing C2PA metadata limits its effectiveness against intentional misuse. Social media platforms may use C2PA…
Large language models (LLMs) have revolutionized AI in natural language processing, but face computational challenges. Alibaba’s EE-Tuning enhances LLMs with early-exit layers, reducing latency and resource demands. The two-stage tuning process is efficient and effective, tested across various model sizes. This work paves the way for more accessible and efficient language models, advancing AI capabilities.…
Large Language Models (LLMs) have revolutionized natural language processing (NLP), with the transformer architecture marking a pivotal moment. LLMs excel in natural language understanding, generation, knowledge-intensive tasks, and reasoning. The Pythia 70M model by McGill University proposes efficient knowledge transfer and outperforms traditional pre-training in computational efficiency and accuracy, offering a promising alternative approach in…
Self-supervised learning (SSL) is crucial in AI, reducing reliance on labeled data. Evaluating representation quality remains a challenge, with recent limitations in assessing informative features. Apple researchers introduce LiDAR, a novel metric addressing these limitations by discriminating between informative and uninformative features in JE architectures, showing significant improvements in SSL model evaluation.
Generative AI, particularly large language models (LLMs), has significantly impacted various fields and transformed human-computer interactions. However, challenges arise, leading researchers to introduce SymbolicAI, a neuro-symbolic framework. By enhancing LLMs with domain-invariant solvers and leveraging cognitive architecture, SymbolicAI paves the way for flexible applications and lays the groundwork for future studies in self-referential systems and…
Zyphra introduces BlackMamba, a groundbreaking model combining State Space Models (SSMs) and mixture-of-experts (MoE) to address the limitations of traditional transformer models in processing linguistic data. This innovative approach achieves a balance of efficiency and effectiveness, outperforming existing models and offering a scalable solution for natural language processing. The open-source release promotes transparency and collaboration.…
The revolutionary CroissantLLM language model breaks the English-centric bias by offering robust bilingual capabilities in English and French, addressing the limitations in traditional models and the critical need for bilingual language understanding. Developed through collaboration, it sets new benchmarks in bilingual language processing, paving the way for more inclusive NLP applications and inspiring future endeavors…
The UK Government has revealed its response to AI innovation and regulation consultations. The white paper proposes a pro-innovation regulatory framework and emphasizes safety, transparency, fairness, and accountability. It aims for context-based regulations tailored to specific AI applications and contexts. The government is investing in AI skills, talent initiatives, and intellectual property protection. The UK…