Artificial Intelligence News & Topics

Artificial Intelligence (AI) takes many forms for the trading industry including electronic trading, quantitative trading strategies, algorithmic trading development and research, risk, compliance, and management. AI refers to simulated intelligence using computer programs. These programs are designed to “think” for the purposes of achieving some tasks. For CloudQuant this task is typically determining a trading signal to initiate an investment or to close out an investment.

Forms of AI include rules-based programming, Machine Learning, and Deep Learning.

Posts

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AI & Machine Learning News. 11, January 2021

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AI ML News January 2021 : Open AI CLIP / DALL-E : learning visual concepts from natural language supervision : AI models from Microsoft and Google already surpass human performance on the SuperGLUE language benchmark : Budgeting and Staffing to Deal With the Data Deluge (Video) : Researchers find machine learning models still struggle to detect hate speech : Outlandish Stanford facial recognition study claims there are links between facial features and political orientation
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AI & Machine Learning News. 05, January 2021

AI ML News January 2021 : Graphcore raises $222 million to scale up AI chip production : Generate Your ML Code In Few Clicks Using Train Generator : Google Move Into Healthcare Leveraging its AI Getting More Pronounced : How To Leverage GPUs For Recommendation Engines At Scale : AI Autonomous Cars Might Not Know They Were In A Car Crash : NLP featuring heavily in recent top news articles

Vectorspace

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FinTech Innovators Partner to Turn NLP into Dollars

Chicago, Illinois, and San Francisco, California USA, December 21, 2020 – Vectorspace AI in partnership with CloudQuant announce the availability of novel datasets that reveal relationships between global equity products. Vectorspace AI datasets are designed to boost precision, accuracy, signal or alpha based on Natural Language Processing and Understanding (NLP/NLU) using the VXV utility token wallet-enabled API. Data can be viewed as unrefined crude oil; Vectorspace AI datasets are the refined gasoline powering Artificial Intelligence (AI) and Machine Learning (ML) systems. Latest research suggests that the next big breakthrough in AI will be intuitive use of language  (Wilson & Daugherty, 2020). The algorithmically generated datasets are based on formal NLP/NLU models including OpenAI’s GPT-3, Google’s BERT along with word2vec and experimental models built at Lawrence Berkeley National Laboratory and the US Dept. of Energy (DOE). “The ability to use language to generate event signals for specific companies opens a whole new range of investment opportunities,” said Morgan Slade, CEO of CloudQuant. “It allows the portfolio manager to accelerate innovation.” Datasets are updated and designed to augment or append existing proprietary datasets such as gene expression datasets in life sciences or time-series datasets in the financial markets. Example customer and industry use cases include:
  • Particle Physics: Predicting hidden relationships between particles.
  • Life Sciences: Predicting which approved drug compounds might be repurposed to fight an infectious disease. Applications include processing 1500 peer reviewed scientific papers every 24 hours for real-time dataset production.
  • Financial Markets: Generating investment signals based on (unlimited) topics, themes, and global events. These signals can be used to generate thematic portfolios (position baskets) for real-time investment and visualization.
Kasian Franks, CEO commented, “we are excited to have our data available on the CloudQuant platform as it will bridge the gap between raw data and alpha generation for our clients. In an industry where innovation happens in real time, this partnership helps our clients access highly curated NLP datasets in a research ready format using CloudQuant’s Liberator data API.” About Vectorspace AI: Vectorspace AI provides high value correlation matrix datasets to enable researchers the ability to accelerate their date-driven innovation and discoveries using patent protected NLP/NLU. Clients save time in the research loop by quickly testing hypotheses and running experiments with higher throughput. Vectorspace AI originated in the Life Sciences dept. of Lawrence Berkeley National Laboratory (LBNL) where the founders developed the patents that drive the company’s innovation. www.vectorspace.ai Reddit: r/VectorspaceAI About CloudQuant CloudQuant provides last-mile delivery of research-ready alternative data to fundamental and quantitative investors. It offers institutional-grade analytics (SaaS) technology and example investment strategies to accelerate client research. Its data showcasing services to data suppliers include bespoke Machine Learning services to identify and measure alpha content and educational resources for prospective data buyers. www.cloudquant.com Twitter: @CloudQuant

References

Wilson, H. J., & Daugherty, P. R. (2020, September 23). The Next Big Breakthrough in AI Will Be Around Language. Retrieved from Harvard Business Review: https://hbr.org/2020/09/the-next-big-breakthrough-in-ai-will-be-around-language?utm_source=cloudquant&utm_medium=press&utm_campaign=vs   For Media Inquiries Please Contact:
  1. Tayloe Draughon
tdraughon@CloudQuant.com Or Christopher Bartlett chris@thinkgem.com
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AI & Machine Learning News. 14, December 2020

#AI #ML News December 2020 : Hyundai Buys Boston Dynamics In $1.1B Deal : Sizing The AI Software Market – $37 Billion By 2025 : Survey Shows Increased Need for Data Skills in Finance : Yet Another Library for Deep Learning You Should Know About – SciKit-Learn : Forbes Insights: Medical Imaging’s Next Frontier: AI And The Edge: Salesforce claims its AI can spot signs of breast cancer with 92% accuracy
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AI & Machine Learning News. 07, December 2020

AI ML News Nov 2020 : Introducing ArtLine, Create Amazing Line art portraits : 3 Stocks Profiting From Unstoppable Trends That Could Make You Rich : TensorFlow 2 on Raspberry Pi : Google at NeurIPS 2020 : Google AI Researcher Fired?
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AI & Machine Learning News. 30, November 2020

AI and ML News Nov 2020 : HBO ‘Superintelligence’ in Seattle : AI researchers movie reality check : Does Ethical AI = Trustworthy AI : Should Companies Pay Users For Their Data? : Googles ML Rainforest Gunshot Recognition : Machine Learning session at re:Invent 2020 : S&P Global & IHS Markit To Merge
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AI & Machine Learning News. 16, November 2020

AI ML News Nov 2020 : The Machine Learning Behind Hum to Search : What’s Missing in Data Preparation & Distribution – CloudQuant CEO to speak on CRUX Summit Panel : Boosting Stop-Motion to 60 fps using AI : Top 40 Free Coursera AI & CS Courses : AWS Launches Visual Data Prep Tool : AI Weekly – Tech, power, and building the Biden administration
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AI & Machine Learning News. 09, November 2020

Best Deep Fakes Yet by Try Parker and Matt Stone of South Park : Benzinga Global Fintech Awards Tomorrow – see you there! : Consumer Reports – Tesla Autopilot “Distant Second” to GM’s Driver Assistance : Triggerless backdoors – The hidden threat of deep learning : How to Build a Twitter Sentiment Analysis System
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AI & Machine Learning News. 02, November 2020

AI ML News November 2020 : Soccer AI cannot tell the linesman’s head from the ball! : CloudQuant nominated for Benzinga Fintech Awards 2020 : MIT develops new app which detects coronavirus by listening to your cough : In a chaotic year, AI is quietly accelerating the pace of space exploration
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AI & Machine Learning News. 28, October 2020

AI ML News October 2020 : AI Make Me A Zombie : AI-powered trading platform Tickeron releases new swing trading AI robots : Apple Acquires AI Startup For $50 Million To Advance Its Apps : AI Engineers Need to Think Beyond Engineering : Snoop on track to raise more than £5.7m through Seedrs : CloudQuant Nominated for Benzinga Award