Not every fingerprint is unique, reveals AI
Greetings, tech enthusiasts! Today, we open the doors to a realm where the binary dance of ones and zeros shapes the very fabric of our future. Join us as DataChamp's Daily AI Briefing unravels the latest tales from the tech frontier, where algorithms whisper secrets, and AI paints our tomorrow.
US University Challenges the Uniqueness of Fingerprints with AI ????
Engineers at Columbia University have developed an AI system that challenges the long-held belief in forensics that fingerprints from different fingers of the same person are unique. The team used a deep contrastive network to analyze pairs of fingerprints from a public US government database, sometimes belonging to the same person and sometimes to different people. The AI, which was designed by modifying a state-of-the-art framework, achieved an accuracy of 77% for a single pair and significantly higher accuracy when multiple pairs were presented. The findings could potentially increase current forensic efficiency by more than tenfold.
OpenAI-Backed 1X Raises $100M for the Humanoid Robot Race ????
1X, a Norwegian company in the race to perfect humanoid robots, has raised $100 million in a Series B funding round. The company's humanoid robot, NEO, is designed to address global labor shortages. The funding was led by EQT Ventures, with participation from existing investors, including OpenAI. The company had previously raised $23.5 million in a round led by OpenAI. NEO aims to navigate environments built by and for humans to address labor shortages effectively. The funds will likely be used for further development and deployment of humanoid robots like NEO.
AI Election Ads: A Game-Changer in State Legislators' Playbook ?????
State legislators are working to draft bills to regulate the increasing sophistication of false or misleading political ads generated by artificial intelligence (AI). Concerns about the impact of AI-generated content on elections have prompted lawmakers in dozens of states to consider regulations. Some states, such as California, Texas, Washington, Minnesota, and Michigan, have already enacted laws related to the regulation of AI in campaign advertising. The goal is to prevent incidents similar to those that occurred in elections overseas, where deepfake voice recordings and AI-generated images influenced political outcomes.
Google's AI Predictions for Healthcare in 2024 ????
Google anticipates significant advancements in the application of generative artificial intelligence (Gen AI) in healthcare in 2024. According to Aashima Gupta, Global Director for Healthcare Strategy & Solutions at Google Cloud, the technology is expected to move from experimental phases to real-world use cases. Gen AI is projected to contribute to reducing administrative burdens, helping clinicians access information efficiently, supporting healthcare call center agents, and improving overall organizational efficiency. She highlighted that Gen AI could also aid caregivers by simplifying clinical recording, locating relevant information, and assisting in the analysis of large datasets by healthcare professionals.
Closing Thoughts: Embracing the Future, Byte by Byte ????
As we wrap up this odyssey into the heart of AI, remember, each byte of information, every algorithmic innovation, shapes the landscape of our digital tomorrow. We invite you to stay curious, stay informed, and join us again tomorrow as we unravel more tales from the ever-evolving world of technology. Until then, may your curiosity guide you through the digital labyrinth! ????
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