Latest Digital News Roundup: Top Stories in Data Sphere
In the ever-evolving world of technology, artificial intelligence (AI) continues to make strides, revolutionising various sectors. Here's a roundup of some recent AI developments across the globe.
Researchers from Hong Kong University, Texas State University, and C&R Wise have made headlines with their AI program. This innovative tool was used to estimate the number of participants in Hong Kong's July 1 pro-democracy protest. The program estimated an impressive 265,000 people, a figure that differed from the police's stated count of 190,000.
Meanwhile, researchers from the University of North Carolina, Chapel Hill, and the University of Maryland have developed an AI system that can detect a person's emotions with remarkable accuracy. By analysing a person's gait, this system can identify emotions with approximately 80 percent accuracy.
Across the Atlantic, researchers at institutions like LMU Munich and the Fraunhofer Institute for Translational Medicine and Pharmacology are working tirelessly on AI systems to accelerate drug development and predict drug approval. These efforts, part of the Epicure project, will primarily focus on clinical studies in Germany, including cities like Munich and Hamburg.
In a significant breakthrough, researchers at MIT have developed a machine learning model capable of predicting drug approvals with an 80 percent probability. This model could potentially streamline the drug approval process, making it more efficient and cost-effective.
The US Department of Energy's Lawrence Berkeley National Laboratory has also contributed to the AI revolution. Researchers there have shown that an algorithm can predict future scientific discoveries based on analysing millions of papers. This groundbreaking development could pave the way for a more proactive approach to scientific research.
Lastly, researchers from the University of Tübingen have developed a training method to improve AI systems' ability to classify noisy images correctly. This method could have wide-ranging implications, from medical imaging to autonomous vehicles, where clear and accurate image recognition is crucial.
These advancements in AI research demonstrate the potential for technology to transform numerous aspects of our lives. As these systems continue to evolve, we can look forward to a future where AI becomes an integral part of our daily lives, making processes more efficient and decisions more informed.
