AI will thrive in 3 key areas in 2023, despite economic conditions
In 2023, experts predict that AI innovation will continue, focusing on human-centric, data-driven and generative AI.Read More
Stop your public-cloud AI projects from dripping you dry
The public cloud helped bring AI into the mainstream, but that doesn’t mean every AI application should run there. Here’s how to decide.Read More
AI and blockchain technologies empower organizations to manage distributed teams
Even in a recession, companies can use new technology like AI and blockchain to create effective, distributed teams.Read More
Ludo upgrades its generative AI tools for game creativity
Ludo is using generative AI to help game developers be more productive. The point isn’t to wipe out jobs. It’s to make them more creative.Read More
Stopping data leaks with AI, Shield raises $20M
Shield announces it has raised $20 million in series B funding for a solution that uses AI to stop data leaks.Read More
Pulses driven by artificial intelligence tame quantum systems
Machine learning drives self-discovery of pulses that stabilize quantum systems in the face of environmental noise.
Deep-learning model extracts important data from health records to assist with personalized medicine
Electronic health records (EHRs) need a new public relations manager. Ten years ago, the U.S. government passed a law that required hospitals to digitize their health records with the intent of improving and streamlining care. The enormous amount of information in these now-digital records could be used to answer very specific questions beyond the scope …
Tricking algorithms: AI tools could boost social media users’ privacy
Smart AI tools could protect social media users’ privacy by tricking algorithms designed to predict their personal opinions, a study suggests.
Impact of Language Characteristics on Multi-Lingual Text-to-Text Transfer
In this work, we analyze a pre-trained mT5 to discover the attributes of cross-lingual connections learned by this model. Through a statistical interpretation framework over 90 language pairs across three tasks, we show that transfer performance can be modeled by a few linguistic and data-derived features. These observations enable us to interpret cross-lingual understanding of …
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Beyond CAGE: Investigating Generalization of Learned Autonomous Network Defense Policies
This paper was accepted at “Reinforcement Learning for Real Life” workshop at NeurIPS 2022. Advancements in reinforcement learning (RL) have inspired new directions in intelligent automation of network defense. However, many of these advancements have either outpaced their application to network security or have not considered the challenges associated with implementing them in the real-world. …
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