AI

The integration of generative artificial intelligence (AI) into various industries has brought about both excitement and hesitation. One of the main concerns surrounding this technology is the potential infringement of intellectual property (IP) rights. As generative AI relies heavily on previously-published material, enterprises using this technology may unintentionally violate copyright laws. This uncertainty has prompted

Venture capital funding in the U.S. has experienced a significant downturn in recent years. The third quarter of this year saw the lowest level of venture deal value in the past six years and the lowest level of deal count in three years. These figures, revealed in the Venture Monitor report from the National Venture

SiFive, a leading RISC-V processor design firm, recently introduced two innovative chip designs aimed at revolutionizing high-performance computing across various industries. The SiFive Performance P870 and SiFive Intelligence X390 chips were officially announced at a press and analyst event held in Santa Clara, California. These designs, based on the open RISC-V architecture, offer exceptional performance,

With the increasing workload and repetitive tasks burdening compliance and security teams, Vanta, a leading trust management platform, is launching its innovative Vanta AI suite today. By harnessing the power of AI and large language models (LLMs), Vanta AI empowers teams to automate security and compliance tasks, enabling them to regain valuable time for higher-value

The hype surrounding generative artificial intelligence (AI) has led to expectations that the Fortune 500 companies are rapidly integrating large language models (LLMs) into their operations. However, the reality is quite different. Despite the pressure from CEOs and the fear of missing out on generative AI, the adoption of these technologies is progressing at a

Computer Vision (CV) has come a long way in its evolution, permeating various aspects of our daily lives. While it may seem like a recent innovation to the average person, the reality is that CV has been evolving for decades. In fact, studies conducted in the 1970s laid the early foundations for many of the

Language models, such as OpenAI’s ChatGPT, Meta’s Llama 2, and Anthropic’s Claude 2, have become a topic of intense debate due to the use of copyrighted materials in their training. This raises an important question: Can these models be modified to remove their knowledge of such works without requiring a complete retraining or rearchitecting process?

Nucleus AI, a California-based startup composed of talented individuals from industry giants Amazon and Samsung Research, has recently made its debut in the AI space. With its first product, a 22-billion-parameter large language model (LLM), Nucleus AI aims to revolutionize various sectors, particularly agriculture. This general-purpose model, available under both an open-source MIT license and

The landscape of remote work and collaboration tools continues to evolve rapidly, and Zoom is at the forefront of this revolution. At the recent Zoomtopia conference, the company unveiled a host of groundbreaking updates and products aimed at streamlining hybrid work and enhancing collaboration. Among the notable announcements was the introduction of Zoom Docs, an

Microsoft has recently made its debut in the race for large language model (LLM) application frameworks with the launch of AutoGen. This open source Python library is designed to simplify the orchestration, optimization, and automation of LLM workflows. AutoGen introduces the concept of “agents,” which are programming modules powered by LLMs like GPT-4. These agents