If, like many people these days, you’re trying to get a firmer understanding of what AI is and how it works but are secretly panicking a little because you’re struggling with terminology so opaque that you’re lost before you get to Markov chains, you may want to crack open Janelle Shane’s new book. She recently sat down with VentureBeat to talk about the book, whose title, You Look Like a…
In a paper scheduled to be presented at the upcoming International Conference on Learning Representations, Amazon researchers propose an AI approach that greatly improves performance on certain meta-learning tasks (i.e., tasks that involve both accomplishing related…
Google releases SimCLR, an AI framework that can classify images with limited labeled data
April 10, 2020
A team of Google researchers recently detailed a framework called SimCLR, which improves previous approaches to self-supervised learning, a family of techniques for converting an unsupervised learning problem (i.e., a problem in which AI models train on unlabeled data) into…
Ferrum, a startup developing an AI patient safety platform to prevent medical errors, today announced that it secured $9 million in seed funding. According to CEO Pelu Tran, who’s also a technology pioneer at the World Economic Forum, the plan is to use the capital infusion to refine the company’s product as Ferrum makes engineering, sales, and marketing hires.
That could be good news for…
After coronavirus, AI could be central to our new normal
April 10, 2020
When we came out of the financial crisis of 2008, cloud computing kicked into high gear and started to become a pervasive, transformational technology. The current COVID-19 crisis could provide a similar inflection point for AI applications. While the implications of AI…
A team of Microsoft and Huazhong University researchers this week open-sourced an AI object detector — Fair Multi-Object Tracking (FairMOT) — they claim outperforms state-of-the-art models on public data sets at 30 frames per second. If productized, it could benefit…
Google today announced the release of a new data set — the Free Universal Sound Separation data set, or FUSS for short — intended to support the development of AI models that can separate distinct sounds from recording mixes. The use cases are potentially endless, but if it were to be commercialized, FUSS could be used in corporate settings to extract speech from conference calls.
It follows…
How Microsoft Teams will use AI to filter out typing, barking, and other noise from video calls
April 10, 2020
Last month, Microsoft announced that Teams, its competitor to Slack, Facebook’s Workplace, and Google’s Hangouts Chat, had passed 44 million daily active users. The milestone overshadowed its unveiling of a few new features coming “later this year.” Most were…
Google Cloud today announced the launch of the Rapid Response Virtual Agent program, a quick way to launch Contact Center AI agents for handling conversations with online chat or over the phone.
The Rapid Response program also makes it easy to add COVID-19 related templates…
MixMode has closed a $4 million round of venture capital as it continues work on artificial intelligence to help companies combat cyberattacks, many of which are increasingly automated.
Entrada Ventures led the round of funding, which included participation from Keshif Ventures and Blu Venture Investors. After spending the past two years fine-tuning the system, MixMode will use the money for…
