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Adobe announced a new integration with Slack, adding more than 70 tools from its popular apps to the communication service. The capabilities include features from Adobe Firefly, Adobe Express, Photoshop, Premiere, Acrobat, InDesign, Illustrator, Stock and Lightroom, which means a pretty comprehensive set of new work can happen without leaving Slack. If that number sounds familiar to you, it may be because Adobe announced a ChatGPT plugin that allows users of OpenAI's platform to access "more than 70 tools across Adobe's creative and productivity suites." The implementation appears to be near-identical between the two platforms. Adobe for Slack is available now for Slack Business and Enterprise customers on web, mobile and desktop versions of Slack. It follows similar integrations with Canva and Figma that were introduced when Slack first added Model Context Protocol support to Slackbot in June.

Simplifying and integrating enterprise technology can help companies move faster, respond to disruptions, and build a stronger foundation for AI, says Harish Manohar, SAP IT Director at Jabil. As companies scale, the technology supporting operations can become a liability just as quickly as it becomes an asset. Disconnected systems, site-specific tools, spreadsheets, and manual workarounds can create data silos that make it harder to spot problems early, coordinate responses, and make decisions with confidence. For Jabil, a global manufacturing company with more than 100 sites across more than 30 countries, the answer has been to make integration and simplification a priority. The company adopted a "simplify-first, then-innovate mindset," says Harish Manohar, SAP IT director at Jabil, recognizing that adding new technologies without first reducing complexity risks creating more risk. The goal is to standardize processes, consolidate where possible, and establish a more consistent data backbone across the organization. "Any innovation without simplification is going to add more complexity," Manohar says. That philosophy also changes how Jabil approaches modernization. "Any modernization or transformation should add measurable business value," Manohar says. The company is focused on connecting processes end-to-end across its supply chain and creating a foundation that can scale consistently across regions.

What is Iran's Pickaxe Mountain? Six months into the war with Iran, it is worth taking stock of what has actually changed around the Gulf. After Iran's June 2025 missile strike on Al Udeid Air Base in Qatar, I argued that the years ahead would be more perilous for the Gulf and that deeper defence cooperation and integration would eventually become unavoidable. Earlier this month, I wrote here that the Gulf could no longer rely entirely on the old security toolkit and would need to build more of a security ecosystem of its own. So far, events have borne out the broad direction of both arguments.

I wore the world's first HDR10 smart glasses TCL's new E Ink tablet beats the Remarkable and Kindle Anker's new charger is one of the most unique I've ever seen I wore the world's first HDR10 smart glasses TCL's new E Ink tablet beats the Remarkable and Kindle Anker's new charger is one of the most unique I've ever seen I tried the new ChatGPT Desktop App for Linux - but I'll stick to my browser for now This preview release of ChatGPT Desktop for Linux supports Ubuntu, Debian, and Fedora is here. The application is proprietary, not open source. I'll keep using ChatGPT in the browser. OpenAI has released a preview of its ChatGPT desktop application for Linux . With this, OpenAI now has a native client on all major desktop operating systems and is placing its coding agent, Codex, alongside ChatGPT and its Work environment.

CogTwin is a hybrid cognitive architecture framework designed to bring autonomous reasoning and real-time adaptation to digital twin systems. Presented at IJCAI 2025, this work aims to advance the state of digital twin technology by addressing key gaps in autonomy, cognition, and real-time decision-making. Digital twin technology has transformed how complex systems are managed, from smart cities to industrial processes. However, most current digital twins remain fundamentally reactive: they rely on pre-programmed rules and static data-driven models, and therefore struggle when confronted with unforeseen events or evolving conditions. Real-time learning, reasoning, and adaptation - hallmarks of human cognition - are largely absent.

At the end of last year, Adobe leveraged OpenAI's Apps SDK to bring Photoshop, Acrobat and Adobe Express to ChatGPT. Now, the company is bringing nearly its entire suite of creative apps to ChatGPT with the introduction of the Adobe plugin. All told, once you've added the extension to your account, you'll have access to more than 70 of Adobe's tools, including Photoshop, Premiere, Acrobat, Lightroom, Illustrator and InDesign. To add the extension, open ChatGPT's settings menu and navigate to the plugins section, then select the Adobe one. You can then invoke it by typing @Adobe into ChatGPT's prompt bar, followed by your request.

Apple's upgraded AI assistant is finally here. Apple is finally attempting to deliver the next-gen, AI-infused Siri experience. The iOS 27 beta is centered around an elevated Siri, transformed from a basic voice commander to something closer to the intelligent, personal helper we were promised years ago. In iOS 27, Apple is prioritizing day-to-day utility over flashy gimmicks. The new Siri is smarter and faster, and it even has its own app to call home, while the company has focused on software efficiency gains -- especially on older devices.

The advent of single-cell Assay for Transposase-Accessible Chromatin using sequencing (scATAC-seq) offers an innovative perspective for deciphering regulatory mechanisms by assembling a vast repository of single-cell chromatin accessibility data. While foundation models have achieved significant success in single-cell transcriptomics, there is currently no foundation model for scATAC-seq that supports zero-shot high-quality cell identification and comprehensive multi-omics analysis simultaneously. Key challenges lie in the high dimensionality and sparsity of scATAC-seq data, as well as the lack of a standardized schema for representing open chromatin regions (OCRs). Here, we present ChromFound, a foundation model tailored for scATAC-seq. ChromFound utilizes a hybrid architecture and genome-aware tokenization to effectively capture genome-wide long contexts and regulatory signals from dynamic chromatin landscapes. Pretrained on 1.97 million cells from 30 tissues and 6 disease conditions, ChromFound demonstrates broad applicability across 6 diverse tasks. Notably, it achieves robust zero-shot performance in generating universal cell representations and exhibits excellent transferability in cell type annotation and cross-omics prediction. By uncovering enhancer-gene links undetected by existing computational methods, ChromFound offers a promising framework for understanding disease risk variants in the noncoding genome.

Synthetic tabular data enables microdata sharing in regulated domains, yet deploying continuous-time generative models requires balancing analytical utility, disclosure risk, and computational cost. Latent-space flow models are flexible, but theoretical equivalences across learning targets, probability paths, and sampling dynamics can translate into different behaviour under finite-step integration and explicit compute budgets. We present an empirical study of tabular latent flow models across seven datasets, evaluating velocity, score, noise, and posterior matching objectives under optimal transport (OT) and variance-preserving (VP) paths, ODE and SDE sampling, and varying integration budgets. Our contributions are threefold: (1) we show that the learning target largely determines the utility-risk operating regime, with velocity and posterior matching tending to yield higher utility, while score and noise matching tend to achieve lower disclosure risk; (2) we demonstrate that configuration and sampling choices shift performance, with midpoint often improving distributional fidelity and OT paths often tolerating earlier stopping than VP, enabling compute savings under fixed budgets or risk thresholds; and (3) we distil these findings into actionable defaults and practical configuration guidance to support pre-release model selection under disclosure risk and resource constraints. The code implementation and supplementary materials can be accessed in https://github.com/rulnasution/tabular-latent-flow/.