Posts in category

Machine Learning


Artificial intelligence (AI) and particularly machine learning (ML) continue to advance at breakneck pace. We see it throughout projects and commentaries across the broader technology industry. We see it in the amazing things our customers are doing, from creating friendly robots to aid childhood development, to leveraging data for better manufacturing and distribution, to fostering internal innovation through …

Redis, the real-time data platform, and Tecton, the enterprise feature store company, today announced a partnership and a product integration that enables low-latency, highly scalable and cost-effective serving of features to support operational Machine Learning (ML) applications. “Tecton and Redis are partnering in order to reduce the time to action for enterprises. Many machine learning use …

Epidemic Sound, the market-leading service for direct licensing of royalty-free music, today announced Epidemic Audio Reference (EAR), an audio-based search tool running on Google Cloud that will help content creators quickly and easily find music for their productions. Epidemic Sound offers 35,000 tracks and 90,000 sound effects used by millions of storytellers worldwide – everyone …

With e-commerce orders pouring in, a warehouse robot picks mugs off a shelf and places them into boxes for shipping. Everything is humming along, until the warehouse processes a change and the robot must now grasp taller, narrower mugs that are stored upside down. Reprogramming that robot involves hand-labeling thousands of images that show it …

Modern machine-learning models, such as neural networks, are often referred to as “black boxes” because they are so complex that even the researchers who design them can’t fully understand how they make predictions. To provide some insights, researchers use explanation methods that seek to describe individual model decisions. For example, they may highlight words in …

The origins of ancient inscriptions are often shrouded in mystery. Writing carved into stone millennia ago can be hard to read and is often missing entire sections of the text. Now a neural network, trained on thousands of existing inscriptions, could help historians figure out when and where a piece of writing comes from – …

Ai-Da sits behind a desk, paintbrush in hand. She looks up at the person posing for her, and then back down as she dabs another blob of paint onto the canvas. A lifelike portrait is taking shape. If you didn’t know a robot produced it, this portrait could pass as the work of a human …

Humans observe the world through a combination of different modalities, like vision, hearing, and our understanding of language. Machines, on the other hand, interpret the world through data that algorithms can process. So, when a machine “sees” a photo, it must encode that photo into data it can use to perform a task like image …

The “brain in a jar” is a thought experiment of a disembodied human brain living in a jar of sustenance. The thought experiment explores human conceptions of reality, mind, and consciousness. This article will explore a metaphysical argument against artificial intelligence on the grounds that a disembodied artificial intelligence, or a “brain” without a body, is incompatible with …

If you’ve seen photos of a teapot shaped like an avocado or read a well-written article that veers off on slightly weird tangents, you may have been exposed to a new trend in artificial intelligence (AI). Machine learning systems called DALL-E, GPT and PaLM are making a splash with their incredible ability to generate creative work. These systems are known as “foundation models” and are not …