Fast and accurate access to critical data can be the difference between a timely product launch and costly delays. Engineers regularly work with massive amounts of structured and unstructured ...Full Article
As the big data analytics train keeps rolling on, there are still kinks to work out when implementing it in the business world. Building and maintaining a big data ...Full Article
As barriers to entry are lowered, more companies are looking for ways to accelerate deployment and scaling of machine learning models. That is creating demand for MLOps tools and ...Full Article
C3.ai, the predictive analytics firm founded by CRM giant Tom Siebel, Friday announced plans for an initial public offering (IPO) of stock. It intends to trade shares on the ...Full Article
An Israeli software services developer debuting this week positions its platform service as an enterprise AI operating system that combines deep and machine learning, natural language processing, neural networks ...Full Article
Machine learning algorithms trained on large data sets have proven useful for spotting past patterns. Examples include stable environments like image databases or board games. When it comes to ...Full Article
When Nvidia announced its acquisition of Mellanox, the GPU leader noted that datacenters would eventually be built like high performance computers. Hence, it’s not surprising the first fruits of ...Full Article
A new open source library for training machine learning models is billed as rivaling the performance of AI models trained with established libraries like TensorFlow, especially models running on ...Full Article
As the rise in COVID-19 cases threatens to overwhelm healthcare facilities in areas hard hit by the coronavirus (including New York City, where the USNS Comfort, pictured below, has ...Full Article
In the annals of venality, human trafficking has metastasized into one of the most horrific organized crimes against humanity since the Holocaust. It’s estimated that 40 million people, 80 ...Full Article
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