Category: Machine Learning

Spelmen, VS & Porkodi, R. A review on handling unbalanced data. 2018 International Conference on Current Trends Towards Integrated Technologies (ICCTCT), 1–11 (IEEE, 2018). Bhat, KA & Sofi, SA Class imbalance problem: Taxonomy, open challenges, applications, and state-of-the-art solutions. China News (2024). Ma, T., Lu, S., Jiang, C. Membership-based resampling and cleaning algorithm for multiclass […]

In today’s hospitals and clinics, dermatologists may use artificial intelligence models to classify skin lesions and assess whether they are at risk of developing into cancer or whether they are benign. However, if the model is biased toward certain skin tones, it may not be able to identify high-risk patients. Perhaps one of the best-known […]

On October 18, 1920, an Oregon district court ruled that Bhagat Singh Thind, an immigrant from India who served in the United States military, was entitled to naturalize as a United States citizen.[1] At the time, federal law restricted naturalization to “free [W]hite persons” as well as “aliens of African nativity and to persons of […]

Researchers are actively exploring new ways to increase the security of deep neural networks against adversarial attacks, addressing critical reliability concerns in sensitive applications. Navid Azimi and colleagues at Emory University have developed QShield, a hybrid quantum classical neural network (HQCNN) architecture that synergistically combines the established feature extraction capabilities of traditional convolutional neural networks […]

As the global AI race shifts focus from software to infrastructure (data centres, chips, talent), automation threatens jobs and drives new investment. Who takes the lead will shape the next economic order. Who will lead? The global technology landscape is undergoing the most significant transformation since the birth of the Internet. Artificial intelligence (AI), once […]

Artificial intelligence (AI) is changing the way people shop. At Etsy, discovery is changing. Etsy had brand recognition and 86 million active buyers. What was missing was a system that could get the right product to the right buyer at the right time. The company is currently building it using AI. And in the first […]

Gensyn (AI) Coin powers an innovative decentralized network designed for machine intelligence, connecting critical computing resources, data, and information needed for AI systems to function and evolve. This open infrastructure layer allows both humans and machines to participate in and benefit from these interactions, creating a globally accessible AI ecosystem with no central control. Cryptocurrency […]

Imperfections in both classical data and quantum hardware impact the performance of quantum machine learning models. Bhavna Bose of SVKM’s NMIMS Mukesh Patel School of Technology and Management and Muhammad Faryad of the Lahore University of Management have shown that noise from flawed classical data can exacerbate the effects of quantum decoherence. Their exhaustive research […]

Today, most manufacturers are not short on data. Sensors monitor your machines, dashboards track performance, and alerts alert you to anomalies before they become problems. A common challenge is that much of this data remains fragmented, siled, and poorly structured. As a result, manufacturers will be unable to effectively support the next wave of AI […]

From left: Computer Science PhD student Abiramon Rajasekaran, NEXCO Central Japan developer Koshiro Mori, Center for Applied AI and Machine Learning Director Dr. Gopal Gupta, and Computer Science PhD student Keegan Kimbrel. Artificial intelligence (AI) experts at the University of Texas at Dallas are partnering with a Japanese company through an Irving, Texas-based subsidiary to […]