Efficient matrix multiplications remain a critical component in modern deep learning and high-performance computing. As models become increasingly complex, conventional approaches to General Matrix Multiplication (GEMM) often face challenges related to memory bandwidth constraints, numerical precision, and suboptimal hardware utilization. These issues are further complicated by the emerging use of mixed-precision formats, such as FP8,… →
Designing imitation learning (IL) policies involves many choices, such as selecting features, architecture, and policy representation. The field is advancing quickly, introducing many new techniques and increasing complexity, making it difficult to explore all possible designs and understand their impact. IL enables agents to learn through demonstrations rather than reward-based approaches. The increasing number of… →
Vision-language models (VLMs) have demonstrated impressive capabilities in general image understanding, but face significant challenges when processing text-rich visual content such as charts, documents, diagrams, and screenshots. These specialised images require complex reasoning that combines textual comprehension with spatial understanding—a skill set critical for analysing scientific literature, improving accessibility features, and enabling AI agents to… →
With changing drug supplies and associated drug consumption behaviors, HIV transmission has increased among people who inject drugs in the United States. HIV testing and referrals to effective prevention and treatment services are critical for individual and population health, yet multilevel barriers limit access to HIV testing for this population, even within syringe services programs… →
Here is a recap of what happened in the search forums today… →
Microsoft seems to be testing a more fully AI-powered search engine, which may be named Copilot Search. Copilot is the name of Microsoft’s AI features, formerly known as Bing Chat. →
Some sites, hosted on some CDNs (content delivery networks), are experiencing a big spike in server response times for crawling, while seeing a drop in total crawl requests. So technically, the crawling has dropped but Google is taking much longer to crawl a lot less. →
18 year old, publicly traded education technology company, Chegg, has sued Google over its AI Overviews and how it has hurt their traffic and revenue. Chegg has «filed a complaint against Google, which has unjustly retained traffic that has historically come to Chegg, impacting our acquisitions, revenue and employees,» said Nathan Schultz, CEO of Chegg. →
Google is testing opening the normally closed/collapsed AI Answer box. Meaning, normally you need to manually tap to expand the answer, here Google is testing opening these boxes by default, without you needing to click expand. →
The recent precipitous drop in search traffic at HubSpot prompted a lot of squawking. While you don’t need to care about HubSpot, use the hullabaloo as a reminder to check in with your own SEO base. Is it still valid for your audience? →