A couple of days ago, Google sent out an email to owners of Google Business Profile listings. The email was a reminder about the Google Business Profile policies, and it highlighted policies around reviews. →
A year or more ago, Google added a toggle switch to use Gemini directly in the iOS Google Search app. Well, that was removed this week and you now need to go to the native Gemini app to use Gemini, you cannot use the Google app. →
Large language models (LLMs) have progressed beyond basic natural language processing to tackle complex problem-solving tasks. While scaling model size, data, and compute has enabled the development of richer internal representations and emergent capabilities in larger models, significant challenges remain in their reasoning abilities. Current methodologies struggle to maintain coherence throughout complex problem-solving processes, particularly… →
Deep learning models have significantly advanced natural language processing and computer vision by enabling efficient data-driven learning. However, the computational burden of self-attention mechanisms remains a major obstacle, particularly for handling long sequences. Traditional transformers require pairwise comparisons that scale quadratically with sequence length, making them impractical for tasks involving extensive data. Researchers have been… →
CONCLUSIONS: The 40 mg b.i.d. and 80 mg q.d. regimens are comparable in their daily exposure, supporting the use of the two dosing regimens in newly diagnosed and previously treated CML-CP patients. The PK of asciminib is insensitive to ethnic differences and no dose adjustment is required for severe renal and hepatic impaired patients. →
CONCLUSIONS: Playing music for <7 minutes is a versatile, effective, and low-risk method for anxiolysis in women awaiting elective cesarean delivery. →
The evolution of robotics has long been constrained by slow and costly training methods, requiring engineers to manually teleoperate robots to collect task-specific training data. But with the launch of Aria Gen 2, a next-generation AI research platform from Meta’s Project Aria, this paradigm is shifting. By leveraging egocentric AI and first-person perception, researchers are… →
The advancement of artificial intelligence has ushered in an era where data volumes and computational requirements are growing at an impressive pace. AI training and inference workloads demand not only significant compute power but also a storage solution that can manage large-scale, concurrent data access. Traditional file systems often fall short when faced with high-throughput… →
The rapid advancement of LLMs has been driven by the belief that scaling model size and dataset volume will eventually lead to human-like intelligence. As these models transition from research prototypes to commercial products, companies focus on developing a single, general-purpose model to outperform competitors in accuracy, user adoption, and profitability. This competitive drive has… →
Sampling from probability distributions with known density functions (up to normalization) is a fundamental challenge across various scientific domains. From Bayesian uncertainty quantification to molecular dynamics and quantum physics, the ability to efficiently generate representative samples is crucial. While Markov chain Monte Carlo (MCMC) methods have long been the dominant approach, they often suffer from… →