Summary: The introduction of AI in game development is expected to revolutionize the industry by making it accessible to a wider audience. With the help of generative AI tools, creating video games will become easier, allowing even those without technical skills to produce their own games.… Read the rest
Bridgeline Digital Launches Innovative Smart Search Product
Bridgeline Digital Inc (NASDAQ:BLIN) has introduced its latest product, Hawksearch AI’s Smart Search, which has already generated significant success. Since its release last month, the company has secured five new license sales, adding over $60,000 in annual recurring revenue.
Smart Search, powered by AI algorithms, vector databases, natural language processing, and large language models, revolutionizes the search experience.… Read the rest
DeepMind Unveils Robot Constitution for Safe Robotic Tasks
DeepMind’s robotics team has revealed their plan to create a “Robot Constitution,” inspired by science-fiction writer Isaac Asimov’s famous “Three Laws of Robotics.” This constitution aims to ensure the safe operation of robots and prevent them from attempting tasks that could harm humans, animals, or themselves.… Read the rest
LLama.cpp Delivers Efficient Deployment of Large Language Models
Summary: LLama.cpp is an open-source library that provides an efficient and performant solution for deploying large language models (LLMs). With techniques like custom integer quantization, multi-threading, and platform optimization, LLama.cpp enables faster inference speeds, extreme memory savings, and cross-platform portability.
Integrating giant language models into real-time applications can be complex and challenging.… Read the rest
Perplexity AI Raises $73.6 Million in Series B Funding to Drive Innovation
Perplexity AI, a California-based AI search engine startup, has secured an impressive $73.6 million in a series B funding round. The funding was led by Institutional Venture Partners LLC and saw additional contributions from notable investors such as Databricks Ventures, former Twitter VP Elad Gil, former GitHub CEO Nat Friedman, Shopify CEO Tobi Lutke, Nvidia, and Jeff Bezos.… Read the rest
This Startup Just Raised $73.6 Million to Challenge Google and Microsoft
California-based startup Perplexity AI has recently secured $73.6 million in a series B funding round, bringing its total funding to $100 million. The investment comes from prominent venture capital firms and tech figures, such as Jeff Bezos and Nat Friedman. Perplexity AI sets itself apart by aiming to revolutionize knowledge discovery through its AI-native search engine, directly challenging industry giants Google and Microsoft.… Read the rest
AI Search Engine Startup Perplexity Secures $73.6 Million in Funding
California-based startup Perplexity has successfully raised $73.6 million in a series-B funding round, led by prominent investors such as Nvidia and Jeff Bezos. This funding round brings the total valuation of the company to $520 million. Perplexity, known as “the world’s first fully functional conversational answer engine,” employs its own unique search, indexing, and crawling techniques to extract information from the web, generating concise responses to user queries.… Read the rest
NVIDIA’s Data-Center Business Dominates the Semiconductor Industry
In a major breakthrough, NVIDIA’s data-center business has taken the lead, contributing a whopping 80% of the company’s total revenue, outpacing its gaming sector. This remarkable growth can be attributed to the rising demand for AI servers in data centers, leading to a significant transformation in the semiconductor landscape.… Read the rest
Google DeepMind Introduces Advanced AI Systems to Accelerate Robot Development
Google’s DeepMind robotics team has unveiled a groundbreaking set of AI systems designed to enhance the development of versatile robots for everyday use. The newly introduced systems, namely AutoRT, SARA-RT, and RT-Trajectory, aim to revolutionize the way robots collect data, improve their speed, and enhance their understanding of the world.… Read the rest
New Strategies for Efficient Execution of Large Language Models on Consumer Hardware
In recent years, the widespread adoption of Large Language Models (LLMs) has created a need for efficient ways to run these models on consumer hardware. One promising approach involves using sparse mixture-of-experts (MoE) architectures, which allow for faster token generation compared to denser counterparts.… Read the rest