Category: Machine Learning

Elon Musk sparred with Sam Altman’s lawyers over the timing of his decision to sue OpenAI and whether he knew about the company’s discussions to turn it into a commercial enterprise during cross-examination in his lawsuit that could decide the future of the ChatGPT maker. The world’s richest man claims that OpenAI, co-founder and CEO […]

AI didn’t suddenly enter organizations, but its role is rapidly changing. What was once applied in a targeted manner is now becoming central to how products are built and work is done. At Culture Amp, we’ve been using machine learning for over 10 years. Features such as sentiment analysis and topic clustering in employee engagement […]

April 30, 2026 story Ever since physical AI became the hype term of the time, I’ve been a little uncomfortable with the term. As commonly defined, physical AI refers to the intersection of AI and the physical world, and the computational processes that allow AI to sense, control, and operate in the real world. These […]

Google on Tuesday signed a deal that will allow the U.S. Department of Defense to use its Gemini AI model for sensitive military operations, with conditions allowing for “legitimate government purposes.” Restrictions reportedly The provisions of the agreement, such as banning large-scale domestic surveillance and autonomous weapons without human supervision, are not contractually binding. And […]

NVIDIA announced a new family of open models, called NVIDIA Ising, designed to address quantum processor calibration and quantum error correction. These are two of the main engineering challenges that limit the scalability of current quantum systems, with qubit noise and instability reducing the reliability of calculations. Ising models aim to automate parts of this […]

UCLA Health researchers have developed a new machine learning model to predict which donor organs from donors after circulatory death (DCD) are most likely to be suitable for transplantation. This research Heart and Lung Transplant Journaladdress a key challenge in thoracic transplantation: determining whether a potential DCD donor dies within the critical time frame required […]

Ethics statement The use of human genetic data in this study was approved by the University of California, San Diego, Institutional Review Board. Genome-wide association and genotype imputation For the MHC analysis, we compiled genotype data from 10,107 T1D and 19,639 nondiabetic individuals of European ancestry across five cohorts (Supplementary Table 1). Cohorts were selected […]

This post was co-authored with Krišjānis Kočāns, Kaspars Magaznieks, Sergei Kiriasov from Sun Finance Group If you process identity documents at scale—loan applications, account openings, compliance checks—you’ve likely hit the same wall: traditional optical character recognition (OCR) gets you partway there, but extraction errors still push a large share of applications into manual review queues. […]

Modern enterprises face mounting challenges in extracting actionable insights from vast data lakes and lakehouses spanning petabytes of structured and unstructured data. Traditional analytics require specialized technical expertise in SQL, data modeling, and business intelligence tools, creating bottlenecks that slow decision-making across retail, financial services, healthcare, Travel & Hospitality, manufacturing and many more industries. This […]

Kong’s unified API and AI platform enables PolyAI to standardize, secure, and rapidly scale enterprise agent AI platforms for developers. Kong Inc., a leading developer of API and AI connectivity technologies, announced that PolyAI, a leading provider of enterprise conversational AI, has selected Kong to help scale and integrate its API infrastructure. This strategic collaboration […]