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Deci Boosts Computer Vision & NLP Models’ Performance at MLPerf 

Deci, the deep learning company harnessing Artificial Intelligence (AI) to build AI, announced its results for both Computer Vision (CV) and Natural Language Processing (NLP) inference models that were submitted to the MLPerf v2.0 Datacenter Open division. These submissions demonstrated the power of Deci’s Automated Neural Architecture Construction (AutoNAC) technology, which automatically generated models dubbed DeciNets and DeciBERT, thus delivering breakthrough accuracy and throughput performance on Intel’s CPUs.

New Report: Natural Language Emerges as AI Priority in 2022 (EXAI:IM), a leading company in artificial intelligence (AI) for language understanding, released a new Expert IQ Report, “Natural Language Emerges as AI Priority in 2022.” The report looks at the most discussed AI topics of 2021, while offering forecasts for 2022.  The study turned AI on itself by using’s advanced natural language understanding (NLU) capabilities to unearth findings. Democratizes Deep Learning with H2O Hydrogen Torch, an AI Cloud leader, announced H2O Hydrogen Torch, a deep learning training engine that makes it easy for companies of any size in any industry to make state-of-the-art image, video and natural language processing (NLP) models without coding. 

Elite Deep Learning for Natural Language Technologies: Representation Learning

In this contributed article, editorial consultant Jelani Harper discusses deep learning, natural language technologies, and representation learning. The deep learning space is continuing to grow apace. Representation learning is one of the more meritorious approaches for paring the quantity of training data (and amount of labels) involved in natural language technology deployments. It also does so while diversifying the utility of the underlying models for applications of multitask learning.

New Data Report: How AI-powered Language is Enhancing Customer Engagement

Our friends over at Persado (the AI content generation and decisioning company) and Coresight Research released a new data report, “AI-Powered Language: A New Era of Enhanced Customer Engagement,” that examines how AI-powered language is fueling enhanced customer engagement. The report surveyed decision-makers in industries such as retail, manufacturing, and professional services, to highlight the growing importance of AI-enabled marketing technologies to generate engaging content, personalize customer experiences, and improve how businesses leverage first-party data to gain meaningful insights.

The Shift to NLP-powered BI Will Unlock Its True Potential for Business Users

In this contributed article, Marcos Monteiro, CEO and co-founder of Veezoo, discusses how as AI and NLP technology evolves, the capabilities of natural-language interfaces to data become exponentially more powerful and there will be fewer use cases where traditional interfaces will remain superior.

Video Highlights: – Executive Interview

In this interview,’s CEO Walt Mayo gives an update on the company’s recent FY20 results. He discusses the technology that is being developed as part of the company’s Path to Lead five-year strategy and outlines how the company expects to commercialise it. He discusses the wider natural language understanding/processing (NLU/NLP) market, highlighting recent M&A activity. Finally, he outlines the key milestones the company is targeting over the next 12 months.

Lessons Learned: Training and Deploying State of the Art Transformer Models at Digits

In this blog post, we want to provide a peek behind the curtains on how we extract information with Natural Language Processing (NLP). You’ll learn how to appy state-of-the-art Transformer models for this problem and how to go from an ML model idea to integration in the Digits app.

Interview: Unlocking Audience Understanding with NLP AI

I recently caught up with Andrea Vattani, Co-Founder & Chief Scientist, Spiketrap, to explore the path forward for brands looking to unlock true understanding of their audiences and their communications in the context of the world. Only two months into 2021 and nearing our second year of the pandemic, consumer behavior has changed rapidly and will continue to evolve as we adapt to new ways of life. So, how can brands keep a pulse on their shifting audiences this year and beyond?

Infographic: The tools and technology of Data SEO

Data SEO uses many tools and technologies drawn from different branches of data science. To use data science in order to automate, predict or visualize an SEO strategy, marketers will need some or all of the tools featured in this infographic developed by our friends over at Oncrawl.