A team of engineers at Google’s DeepMind Project has demonstrated a robot capable of playing amateur-level table tennis (ping-pong). The team has published a paper on the arXiv preprint server describing how they developed the robot, how well it performed at different ability levels and how human players responded to playing with the robot.
This paper was accepted at the 5th Workshop on Gender Bias in Natural Language Processing 2024. Machine translation (MT) systems often translate terms with ambiguous gender (e.g., English term “the nurse”) into the gendered form that is most prevalent in the systems’ training data (e.g., “enfermera”, the Spanish term for a female nurse). This often …
Read more “Generating Gender Alternatives in Machine Translation”
This post is co-authored with Travis Mehlinger and Karthik Raghunathan from Cisco. Webex by Cisco is a leading provider of cloud-based collaboration solutions which includes video meetings, calling, messaging, events, polling, asynchronous video and customer experience solutions like contact center and purpose-built collaboration devices. Webex’s focus on delivering inclusive collaboration experiences fuels our innovation, which …
One hacker solved the CrowdStrike outage mystery with simple crash reports, illustrating the wealth of detail about potential bugs and vulnerabilities those key documents hold.
The $184 billion market for artificial intelligence shows no signs of slowing. A big slice of that market is organizations, from businesses to government agencies, that rely on AI to help make decisions. A 2023 study by IBM found 43% of CEOs are using AI to make strategic decisions.
Many beginners will initially rely on the train-test method to evaluate their models. This method is straightforward and seems to give a clear indication of how well a model performs on unseen data. However, this approach can often lead to an incomplete understanding of a model’s capabilities. In this blog, we’ll discuss why it’s important …
Read more “From Train-Test to Cross-Validation: Advancing Your Model’s Evaluation”
AI chatbots and virtual assistants have become increasingly popular in recent years thanks the breakthroughs of large language models (LLMs). Trained on a large volume of datasets, these models incorporate memory components in their architectural design, allowing them to understand and comprehend textual context. Most common use cases for chatbot assistants focus on a few …
OpenAI quietly releases a cheaper, more powerful GPT-4o update as the company faces leadership exodus and fierce competition in the rapidly evolving AI landscape.Read More
From tricking companies into handing over victims’ personal data to offering violence as a service, the online doxing ecosystem is not just still a problem—it’s getting more extreme.
A new cross-disciplinary study by Washington University in St. Louis researchers has uncovered an unexpected psychological phenomenon at the intersection of human behavior and artificial intelligence: When told they were training AI to play a bargaining game, participants actively adjusted their own behavior to appear more fair and just, an impulse with potentially important implications …
Read more “Humans change their own behavior when training AI”