25 Jan 2022

TinyML is bringing deep learning models to microcontrollers

Deep learning models owe their initial success to large servers with large amounts of memory and clusters of GPUs. The promises of deep learning gave rise to an entire industry of cloud computing services for deep neural networks. Consequently, very large neural networks running on virtually unlimited cloud resources became

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16 Dec 2021

The True Cost Of Rising Cyber Threats, According To A Cybersecurity CFO

Every security product in the last 20 years has been built to identify attacks after they have been executed. Look no further than then one of the hottest categories in cybersecurity — endpoint detection and response (EDR) — to see the proof. By its very name, this solution is only

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26 May 2020

Deepfakes Are Going To Wreak Havoc On Society. We Are Not Prepared.

Deepfakes are a relatively new phenomenon in AI, and the technology is becoming increasingly compelling. The concept originated in 2017 as a result of a new deep learning method called generative adversarial networks (GANs). Since then, there have been several viral deepfake videos circulating the internet, such as those of

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04 Apr 2019

7 Indicators Of The State-Of-Artificial Intelligence

Recent research and news on the state of artificial intelligence (AI) highlights seven important trends: Chinese AI researchers are set to overtake their US counterparts in terms of the number of published scientific papers that have a significant impact on the field. The Allen Institute for Artificial Intelligence predicts that

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15 Mar 2019

Intel offers AI breakthrough in quantum computing

While applications of deep learning have produced impressive empirical results, the theory behind it is still poorly developed. However, a team of researchers from Intel and the Hebrew University are saying that they have made an important breakthrough that allows for a better theoretical understanding of the capabilities of deep

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15 Feb 2019

AI must tackle the sparsity challenge, says Landing AI’s Gopi Prashanth

According to Gopi Prashanth of AI-startup Landing AI, one of the major challenges in the development of AI and machine learning is to teach machines to generalize based on small data samples in situations where relevant data is sparse. Currently, deep learning enables machines to learn from massive amounts of

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