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Cancer chemotherapy has experienced fast developments during the last decades, but the current clinical data revealed only modest therapeutic efficacy, partially due to inadequate drug accumulation and penetration in tumors [1], [2]. In this regard, liposomes, gold nanoparticles and polymeric micelles have emerged as an attractive approach for targeted delivery of therapeutic agents to tumors, accompanied by prolonged circulation time and reduced toxicity [3], [4]. The tumor-targeting effect of nanoparticles (NPs) can be derived from the size-determined enhanced permeability and retention (EPR) effect, or the biorecognition-based active-targeting bioactive antibodies [5], [6], peptides [7], [8], oligonucleotide aptamers [9], [10] and small…

I’m not sure when I first heard this quote, but it’s something that has stayed with me over the years. How do you create services for situations you can’t imagine? Or design products that work on devices yet to be invented? Article Continues Below Flash, Photoshop, and responsive design#section2 When I first started designing websites, my go-to software was Photoshop. I created a 960px canvas and set about creating a layout that I would later drop content in. The development phase was about attaining pixel-perfect accuracy using fixed widths, fixed heights, and absolute positioning. Ethan Marcotte’s talk at An Event…

Post-training gets your model to behave the way you want it to. As AMD VP of AI Sharon Zhou explains to Ben on this episode, the frontier labs are convinced, but the average developer is still figuring out how post-training works under the hood and why they should care. In their focused discussion, Sharon and Ben get into the process and trade-offs, techniques like supervised fine-tuning, reinforcement learning, in-context learning, and RAG, and why we still need post-training in the age of agents. (It’s how to get the agent to actually work.) Check it out.About the Generative AI in the…

Retrieval-augmented generation, or RAG, has become a foundational approach to building production AI systems. However, deploying RAG in practice can be complex and costly. Developers typically have to manage vector databases, chunking strategies, embedding models, and indexing infrastructure. Designing effective RAG systems is also a moving target, as techniques and best practices evolve in step with rapidly advancing language models. Google DeepMind recently released the File Search Tool, a fully managed RAG system built directly into the Gemini API. File Search abstracts away the retrieval pipeline, allowing developers to upload documents, code, and other text data, automatically generate embeddings, and…

As a result, the number of people Apple can offer a Mac to is growing as rapidly as the product matrix. Future Ultra Macs will take that reach all the way up to the very, very top tiers currently served by furiously expensive PC workstations, while the Neo range (which I’m willing to bet gets a backlit keyboard and more memory next year) extends its hand all the way to students and general purpose computer users. General purpose doesn’t mean average Don’t neglect that — despite being an entry-level, $599 system — the MacBook Neo is faster for general purpose…

Verizon will beef up its multiple-dwelling unit (MDU) business organically with its own fixed wireless access (FWA) platform and its recent addition of Starry. Verizon just wrapped up its acquisition of Starry, said Verizon EVP and CFO Tony Skiadas Tuesday at the Deutsche Bank Annual Media, Internet & Telecom Conference. “That will help us expand our product there in the MDU space and give us more open-for-sale on fixed wireless access,” he said. Verizon announced the deal last October. The financial terms were not disclosed, but the acquisition gives Verizon access to Starry’s tech and its service presence in five US markets:…

In this article, you will learn how to use Google Colab’s AI-assisted coding features — especially AI prompt cells — to generate, explain, and refine Python code directly in the notebook environment. Topics we will cover include: How AI prompt cells work in Colab and where to find them A practical workflow for generating code and running it safely in executable code cells Key limitations to keep in mind and when to use the “magic wand” Gemini panel instead Let’s get on with it. Setting Up a Google Colab AI-Assisted Coding Environment That Actually WorksImage by Editor Introduction This article…

The Visualization Challenge in Multi-Platform DeliveryYour team has worked hard to build a Supervisor Agent that accurately analyzes Q4 revenue and identifies growth drivers. The next challenge lies in making these insights available where stakeholders actually work, such as Microsoft Teams. Because every external platform utilizes a unique visual language, integrating rich graphical answers can be difficult, often forcing agents to default to basic text tables.This is where the inherent flexibility of the Supervisor Agent becomes a distinct advantage. Databricks designed the agent framework to support extensive customization through tools like Unity Catalog Functions and the Model Context Protocol (MCP).…

Businesses of all sizes depend on “office” suites for their day-to-day tasks and for collaboration. AI, for its part, promises significant productivity gains for knowledge workers and for anyone who works with documents. According to studies, we spend over half our time using “office” software. And the global market for productivity applications is worth $22.5 billion annually, according to research from Dataintelo. However, business software is often proprietary, costly and inflexible. And, at a time when businesses look to increase efficiencies through AI, too many business applications lock users into their preferred AI models. As a result, businesses are losing…

Posted by Lyubov Farafonova, Product Manager, Phone by Google; Alberto Pastor Nieto, Sr. Product Manager Google Messages and RCS Spam and Abuse We’ve shared how Android’s proactive, multi-layered scam defenses utilize Google AI to protect users around the world from over 10 billion suspected malicious calls and messages every month1. While that scale is significant, the true impact of these protections is best understood through the stories of the individuals they help keep safe every day. This includes people like Majik B., an IT professional in Sunnyvale, California. Despite his technical background, Majik recently found himself on a call that…