Writer, the only full-stack generative AI platform built for business, today launches three new proprietary large language models (LLMs) designed for enterprise-ready generative AI. Palmyra Small (128M), Palmyra Base (5B), and Palmyra Large (20B) are the only in-production LLMs that were trained on a set of data specifically curated to power AI use cases for the enterprise. Palmyra Small and Base LLMs are accessible via free download on Hugging Face. Writer's enterprise customers have their generations all powered by Palmyra Large through the Writer platform, and Writer enterprise customers are also now able to integrate generative AI capabilities directly into their products and to scale and improve their experience with Writer via Writer's new API to Palmyra Large. "Writer was built from the ground up to take AI into the enterprise. It all starts with our proprietary model, where customers own their inputs, training data, and outputs," said May Habib, CEO of Writer.

The gigantic technological leap that machine learning models have shown in the last few months is getting everyone excited about the future of AI -- but also nervous about its uncomfortable consequences. After text-to-image tools from Stability AI and OpenAI became the talk of the town, ChatGPT's ability to hold intelligent conversations is the new obsession in sectors across the board. In China, where the tech community has always watched progress in the West closely, entrepreneurs, researchers, and investors are looking for ways to make their dent in the generative AI space. Tech firms are devising tools built on open source models to attract consumer and enterprise customers. Individuals are cashing in on AI-generated content.

Okay, let's talk about killer robots. It's a concept that long ago leapt from the pages of science fiction to reality, depending on how loose a definition you use for "robot." Military drones abandoned Asimov's First Law of Robotics -- "A robot may not injure a human being or, through inaction, allow a human being to come to harm" -- decades ago. The topic has been simmering again of late due to the increasing prospect of killer robots in domestic law enforcement. One of the era's best known robot makers, Boston Dynamics, raised some public policy red flags when it showcased footage of its Spot robot being deployed as part of Massachusetts State Police training exercises on our stage back in 2019.

If you know anything about Ghost Robotics, it's likely one of two things: 1) They make robot dogs. A majority of the Philadelphia firm's press coverage has revolved around these facts, along with some coverage of its systems being used to patrol the U.S. border. It's shameful how both parties fight tooth nail to defend their ability to pump endless public money into militarization. From tanks in police depts to corrupt military contracts, funding this violence is bipartisan non-controversial, yet healthcare housing isn't. Ghost has thus far not demonstrated any manner of ethical qualms when it comes to its work with military and law enforcement -- but it's the company's product design that could ultimately get it in hot water.

The'intelligence' of AI is growing all the time. And AI has many forms, from Spotify's recommendation system to self-drive cars. AI utilises natural language processing (NLP) to deliver natural and human-like language. It mimics humans and generates human-like messages by analysing commands. That said, it is still challenging to create an AI tool that understands the nuances of natural human languages is hard.

Chatbots have become an integral part of modern enterprises. For example, Mahindra has been working with Amazon Alexa for four years now. Mahindra XUV 700 was the first vehicle in India to integrate Alexa. The customers can use the Mahindra Skill for Alexa to manage vehicle information such as fuel level or tire pressure, and remotely give commands for locking or unlocking the car door, preparing the cabin temperature, etc. Tell me when you see other Mahindra cars nearby…I like to hang out with my family." Earlier, ICICI Prudential Life launched a voice chatbot called'LiGo' on Google Assistant to handle insurance-related queries.

SAN FRANCISCO, Nov. 23, 2021 (GLOBE NEWSWIRE) -- Rescale, the leading hybrid cloud high performance computing (HPC) platform enabling intelligent computing for digital R&D, today announced it has closed $105 million in an expanded Series C funding round. Existing and new investors in the company include Sam Altman, Jeff Bezos, Richard Branson, Paul Graham, Peter Thiel, Fort Ross Ventures, Gaingels, Gopher, Hitachi Ventures, Initialized Capital, Keen Venture Partners, Microsoft M12, Nautilus Venture Partners, NVIDIA, Prometheus Capital, Republic Labs, Samsung Catalyst Fund, Solasta Ventures, Yield Capital Partners and more. The valuation was not disclosed. Rescale's announcement today follows a dramatic acceleration in customer demand, investor interest and market momentum, bringing the company's total funding to date to over $155 million. With over 200 enterprise customers, and year-over-year sales growing over 2x in 2021, Rescale is accelerating the digital transformation of the computational science and engineering discipline, which has traditionally been on-premises in private data centers but is rapidly shifting to cloud.

Many investors might think of sentient robots when tech pundits discuss the booming artificial intelligence (AI) market. However, intelligent robots only represent a tiny silver of a worldwide AI market that is projected to grow at a compound annual growth rate (CAGR) of 35.6% from 2021 to 2026, according to Facts and Factors. A large portion of that market actually revolves around algorithms and software platforms that help companies make data-driven decisions, automate repetitive tasks, streamline their operations, and cut costs. Let's examine three top AI stocks that will benefit from the market's expansion. Nvidia (NASDAQ:NVDA) is the world's top producer of discrete GPUs.

In fiction, artificial intelligence is often associated with intelligent androids or dystopian futures. But in reality, the AI market mainly revolves around crunching large amounts of data to make quick decisions. Demand for these services -- which power analytics tools, driverless cars, voice assistants, and more -- is climbing. The global AI market was already worth $39.9 billion in 2019, according to Grand View Research, but could still grow at a compound annual growth rate of 42.2% between 2020 and 2027. That's why many companies are jumping aboard the AI bandwagon.

Hewlett Packard Enterprise Wednesday dramatically expanded its artificial intelligence-machine learning (AI/ML) market reach with a standalone release of its Ezmeral Data Fabric. The new standalone Ezmeral edge-to-cloud data fabric brings the fast growing cloud native AI/ML platform to a new multibillion-dollar market where the data fabric offering can be used in multiple enterprise big data buildouts on its own. HPE made the decision to establish a separate standalone version of the data fabric in direct response to customers, said HPE Chief Technology Officer and Head of Software Kumar Sreekanti (pictured above). "It's a huge market opportunity," he said. "Customers have asked for this because it is a very proven platform with phenomenal scale. Many customers want to first deploy the data platform and later on bring in the Ezmeral container platform."