Przemysław Dębiak defeats OpenAI at coding world finals, fears humans may lose edge due to tech advancements. Psyho clinches victory over AI at AtCoder World Tour Finals 2025, predicts he may be last human to win.
PerformLine, a leader in marketing compliance, uses AI to automate compliance oversight for consumer-facing channels, providing brands with a competitive advantage. By leveraging AWS technology, PerformLine accelerates compliance processes, ensuring speed and accuracy in monitoring millions of webpages daily.
Computing matrix determinants using Gaussian elimination to row echelon form provides clear, concrete results. This technique ensures accuracy and consistency in determining the invertibility of square matrices.
Alphabet, Meta, Microsoft, and others invest millions in AI pay off as Trump vows to cut red tape at elite tech summit. President declares need for innovators to thrive without regulatory constraints, signaling a shift in tech policy focus.
Database of 8m handwritten census entries reveals Paris as hub for intellectuals like James Joyce in 1926, living among diverse neighbors including Russian émigrés and US writers. Joyce's life in the 7th arrondissement painted a vibrant portrait of the city's cultural richness.
MIT study shows 15% increase in pedestrian walking speed in northeastern U.S. cities from 1980 to 2010. Public spaces now function more as thoroughfares than meeting places, impacting urban planning.
Ike Barinholtz to play Elon Musk in Artificial, a film about OpenAI co-founder during CEO transition. Barinholtz, known for Emmy-nominated role in The Studio's comedy series, set to star in Luca Guadagnino-directed movie.
Study finds Google AI Overviews can cause 79% traffic loss for sites ranked below, impacting news companies' online audiences. Media owners fear AI summaries as existential threat to outlets reliant on search traffic.
MIT's CSAIL developed NJF, allowing robots to learn control through vision, not sensors, offering a new approach to robotic self-awareness. The system enables robots to autonomously learn how to achieve goals, expanding design possibilities for soft and bio-inspired robots.
Large language models (LLMs) are crucial for various applications, but evaluating their performance is challenging. LLM-as-a-judge method offers scalable, cost-efficient evaluation, bridging automated and human judgment for fair comparisons.
ChemXploreML, a user-friendly desktop app created by researchers at MIT, democratizes machine learning in chemistry, making predictive modeling accessible to chemists without advanced programming skills. The app automates complex processes, transforms chemical structures into numerical vectors, and accurately predicts molecular properties, accelerating drug and material discovery.
New users or fresh content often lead to generic recommendations. By leveraging vLLM and Trainium chips, AWS offers a solution for personalized, scalable recommendations without the need for extensive user interaction data.
Kernel ridge regression (KRR) predicts numeric values using a kernel function. It uses stochastic gradient descent (SGD) for training, preventing model overfitting.
Google DeepMind's Aeneas program is praised by historians for predicting the origins of Latin texts, easing the scholarly process. The AI tool helps decipher ancient inscriptions by predicting their time and location, named after the Trojan hero.
Trump signs executive orders to boost US AI exports, targets "woke" AI models at summit in Washington. Orders aim to streamline datacentre construction, remove environmental protections.