Results for: Machine learning

OpenAI has unveiled GPT-4o, an updated version of its large language model that brings enhanced capabilities to both free and paid users. GPT-4o offers improved performance and features, including multimodal capabilities, a desktop app, and a refreshed user interface. The model can now analyze and respond to text, vision, and audio in real time, with accurate emotion detection. ChatGPT Voice has also become more human-like, sounding enthusiastic and friendly with a hint of robotic undertone. The model can now be interrupted and provides quick responses with natural flow. Additionally, GPT-4o can read code, assist with math problems, and describe screen content. Despite some minor glitches in the demo, GPT-4o appears to be a significant step towards human-like AI interaction.

Artificial intelligence (AI) and machine learning (ML) are revolutionizing healthcare by enhancing diagnostics, automating tasks, and enabling personalized medicine. This article provides insights into the transformative applications of AI and ML in healthcare and their profound impact on patient care and healthcare delivery.

Google has announced a range of new AI-powered features for its Search and Maps services, designed to make it easier for users to find information and navigate the world around them. These new features leverage the company’s advancements in artificial intelligence and machine learning to provide more personalized and contextually relevant experiences.

Apple has released OpenELM, a set of four open-source language models aimed at running AI tasks efficiently on Apple devices. OpenELM stands for ‘Open-source Efficient Language Models’ and boasts smaller sizes than most lightweight AI models, enabling smooth operation on devices like phones and laptops. This release marks Apple’s continued focus on developing AI capabilities to run locally on Apple devices, aligning with CEO Tim Cook’s earlier hints about the company’s ambitions in generative AI.

Snowflake’s (SNOW) groundbreaking large language model, Arctic, designed specifically for enterprise workloads, marks a significant milestone in the company’s AI advancements. Optimized to excel in SQL code generation, instruction following, and more, Arctic redefines enterprise LLM capabilities. Snowflake’s commitment to open collaboration is evident in the Apache 2.0 license, allowing unrestricted use for personal, research, and commercial purposes.

Apple has released four open-source AI models, known as OpenELMs, to improve the accuracy of future artificial intelligence endeavors. These models, hosted on Hugging Face, leverage evolutionary algorithms and a layer-wise scaling strategy to allocate parameters in transformer models. Pre-trained with 1.8 trillion tokens, OpenELMs demonstrate a 2.36% accuracy improvement over OLMo while requiring fewer pre-training tokens. Apple’s commitment to open-source AI development aims to ensure reproducibility, transparency, and trustworthiness in AI research, mitigating potential biases and risks.

DDN, the global leader in artificial intelligence (AI) and multi-cloud data management solutions, today announced that Jump Trading, a leading quantitative trading firm, has selected DDN to bolster its high-performance computing (HPC) infrastructure. By leveraging DDN’s cutting-edge storage solutions, Jump Trading aims to accelerate its AI-driven quantitative trading strategies and maintain its competitive edge in the fast-paced world of global financial markets.

Cloudera, the data company for trusted enterprise AI, announced the winners of its first-ever Climate and Sustainability Hackathon. The competition, hosted in collaboration with AMD, a high performance and adaptive computing company, invited data scientists from across the globe to develop end-to-end Accelerated Machine Learning Projects (AMPs) focused on solving the many environmental challenges facing the world today. AMPs are fully built, end-to-end data science solutions that can be deployed with a single click directly from Cloudera or accessed and built via public GitHub repositories. The unique, open-source community offers a comprehensive framework for building, deploying, and monitoring business-ready machine learning applications instantly. To facilitate swift, powerful computations and breakthrough innovations, Hackathon participants were granted access to Cloudera machine learning, powered by AMD hardware, to develop their own AMPs. Cloudera provided guidance on the types of climate challenges participants were welcome to address—including improving carbon stock calculations, advancing climate-smart agriculture, and addressing the global water crisis.

Amid growing concerns over copyright infringement in generative AI, Apple has reportedly taken a unique approach to training its software by licensing copyrighted works. This strategy aims to avoid potential lawsuits and ensure that its AI is trained on legally acquired data.

Artificial intelligence has become a key driver of technological advancements. As AI applications proliferate across various industries, the demand for efficient and powerful AI chips has surged, leading to a robust growth in the global AI chip market. AI chips, also known as AI accelerators, are specialized semiconductor devices designed to execute AI-related tasks such as machine learning, deep learning, and neural network inference with superior speed, efficiency, and precision. The market is segmented by technology, end-use, and region, with Asia-Pacific expected to experience significant growth due to government support, investments, and high adoption of AI in manufacturing.