Interdisciplinary approaches Archives | Page 98 of 183

Meta AI brings conversational edits to Instagram Stories

Instagram is rolling out generative AI editing for Stories, expanding June’s tools with smarter prompts and broader effects. Type what you want removed or changed, and Meta AI does it. Think conversational edits, similar to Google Photos.

New controls include an Add Yours sticker for sharing your custom look with friends. A Presets browser shows available styles at a glance. Seasonal effects launch for Halloween, Diwali, and more.

Restyle Video brings preset effects to short clips, with options to add flair or remove objects. Edits aim to be fast, fun, and reversible. Creativity first, heavy lifting handled by AI.

Text gets a glow-up: Instagram is testing AI restyle for captions. Pick built-ins like ‘chrome’ or ‘balloon,’ or prompt Meta AI for custom styles.

Meta AI hasn’t wowed Instagram users, but this could change sentiment. The pitch: fewer taps, better results, and shareable looks. If it sticks, creating Stories becomes meaningfully easier.

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Sky acquisition by OpenAI signals ChatGPT’s push into native workflows

OpenAI acquired Software Applications Incorporated, the maker of Sky, to accelerate the development of interfaces that understand context, adapt to intent, and act across apps. Sky’s macOS layer sees what’s on screen and executes tasks. Its team joins OpenAI to bake these capabilities into ChatGPT.

Sky turns the Mac into a cooperative workspace for writing, planning, coding, and daily tasks. It can control native apps, invoke workflows, and ground actions in on-screen context. That tight integration now becomes a core pillar of ChatGPT’s product roadmap.

OpenAI says the goal is capability plus usability: not just answers, but actions completed in your tools. VP Nick Turley framed it as moving from prompts to productivity. Expect ChatGPT features that feel ambient, proactive, and native on desktop.

Sky’s founders say large language models finally enable intuitive, customizable computing. CEO Ari Weinstein described Sky as a layer that ‘floats’ over your desktop, helping you think and create. OpenAI plans to bring that experience to hundreds of millions of users.

A disclosure notes that a fund associated with Sam Altman held a passive stake in Software Applications Incorporated. Nick Turley and Fidji Simo led the deal. OpenAI’s independent Transaction and Audit Committees reviewed and approved the acquisition.

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Copilot Mode turns Edge into an active assistant

Edge says the browser should work with you, not just wait for clicks. Copilot Mode adds chat-first tabs, multi-tab reasoning, and a dynamic pane for in-context help. Plan trips, compare options, and generate schedules without tab chaos.

Microsoft Copilot now resumes past sessions, so projects pick up exactly where you stopped. It can execute multi-step actions, like building walking tours, end-to-end. Optional history signals improve suggestions and speed up research-heavy tasks.

Voice controls handle quick actions and deeper chores with conversational prompts. Ask Copilot to open pages, summarise threads, or unsubscribe you from promo emails. Reservations and other multi-step chores are rolling out next.

Journeys groups past browsing into topic timelines for fast re-entry, with explicit opt-in. Privacy controls are prominent: clear cues when Copilot listens, acts, or views. You can toggle Copilot Mode off anytime.

Security features round things out: local AI blocks scareware overlays by default. Built-in password tools continuously create, store, and monitor credentials. Copilot Mode is in all Copilot markets on Edge desktop and mobile and is coming soon.

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At UMN, AI meets ethics, history, and craft

AI is remaking daily life, but it can’t define what makes us human. The liberal arts help us probe ethics, meaning, and power as algorithms scale. At the University of Minnesota Twin Cities, that lens anchors curiosity with responsibility.

In the College of Liberal Arts, scholars are treating AI as both a tool and a textbook. They test its limits, trace its histories, and surface trade-offs around bias, authorship, and agency. Students learn to question design choices rather than just consume outputs.

Linguist Amanda Dalola, who directs the Language Center, experiments with AI as a language partner and reflective coach. Her aim isn’t replacement but augmentation, faster feedback, broader practice, richer cultural context. The point is discernment: when to use, when to refuse.

Statistician Galin Jones underscores the scaffolding beneath the hype. You cannot do AI without statistics, he tells students, so the School of Statistics emphasises inference, uncertainty, and validation. Graduates leave fluent in models, and in the limits of what models claim.

Composer Frederick Kennedy’s opera I am Alan Turing turns theory into performance. By staging Turing’s questions about machine thought and human identity, the work fuses history, sound design, and code. Across philosophy, music, and more, CLA frames AI as a human story first.

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CraftGPT: Language model built in Minecraft

A Minecraft creator known as Sammyuri has unveiled CraftGPT, an in-game language model powered entirely by redstone circuits. Built from nearly 439 million blocks, the project turns Minecraft into a working simulation of AI.

CraftGPT was trained on a tiny dataset called TinyChat, containing only 64 tokens—a minuscule amount compared to the billions used by modern large language models. Despite its simplicity, it demonstrates how AI can turn input into structured responses.

The model works by translating player inputs into redstone signals that flow through logic gates and memory circuits. It’s a creative and educational blend of engineering and imagination, showing how fundamental AI concepts can be explored inside a virtual game world.

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NVIDIA AI Day Sydney showcases Australia’s growing role in global AI innovation

Australia took centre stage in the global AI landscape last week as NVIDIA AI Day Sydney gathered over a thousand participants to explore the nation’s path toward sovereign AI.

The event, held at ICC Sydney Theatre, featured discussions on agentic and physical AI, robotics and AI factories, highlighting how the next generation of computing is driving transformation across sectors.

Industry leaders, including Commonwealth Bank of Australia, Canva and emerging startups, joined NVIDIA executives to discuss how advanced computing and AI are shaping innovation.

Brendan Hopper of the Commonwealth Bank praised NVIDIA’s role in expanding Australia’s AI ecosystem through infrastructure, partnerships and education.

Speakers such as Giuseppe Barca of QDX Technologies emphasised how AI, high-performance computing and quantum research are redefining scientific progress.

With over 600 NVIDIA Inception startups and more than 20 universities using NVIDIA technologies, Australia’s AI ecosystem is expanding rapidly. Partners like Firmus Technologies, ResetData and SHARON AI underscored how AI Day Sydney demonstrated the nation’s readiness to become a regional AI hub.

The event also hosted Australia’s first ‘Startup, VC and Partner Connect’, linking entrepreneurs, investors and government officials to accelerate collaboration.

Presentations from quantum and healthcare innovators, alongside hands-on NVIDIA Deep Learning Institute sessions, showcased real-world AI applications from generative design to medical transcription.

NVIDIA’s Sudarshan Ramachandran said Australia’s combination of high-performance computing heritage, visual effects expertise and emerging robotics sector positions it to lead in the AI era.

Through collaboration and infrastructure investment, he said, the country is building a thriving ecosystem that supports discovery, sustainability and economic growth.

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Researchers develop advanced AI system to assess tumour relapse risk

Researchers at Universitat Rovira i Virgili have developed an AI model that predicts breast cancer recurrence more accurately than existing systems. The tool combines clinical data with MRI scans to detect subtle patterns signalling relapse risk.

Unlike traditional models, the AI also examines surrounding tissue, breast symmetry, and tumour texture variations. The system automatically segments MRI scans, extracts key features, and combines them with tumour type, hormone receptor status, and malignancy data.

Using a neural network model known as TabNet, it can interpret complex data while maintaining transparency in how predictions are made.

Tests on over 500 patients showed the model achieves high accuracy and reliably identifies those at real risk of relapse. Researchers say this reduces false negatives and helps ensure those needing further treatment are not overlooked.

Key indicators influencing predictions include tumour texture, breast symmetry, and hormone receptor status.

The AI model is scalable, interpretable, and suitable for clinical use without requiring costly or invasive genetic tests. Part of the European Bosomshield project, the research shows AI’s potential to make oncology more personalised and predictive.

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Amelia brings heads-up guidance to Amazon couriers

Amazon unveiled ‘Amelia’ AI-powered smart glasses for delivery drivers with a built-in display and camera, paired to a vest with a photo button, now piloting with hundreds of drivers across more than a dozen partners.

Designed for last-mile efficiency, Amelia can auto-shut down when a vehicle moves to prevent distraction, includes a hardware kill switch for the camera and mic, and aims to save about 30 minutes per 8–10-hour shift by streamlining repetitive tasks.

Initial availability is planned for the US market and the rest of North America before global expansion, with Amazon emphasizing that Amelia is custom-built for drivers, though consumer versions aren’t ruled out. Pilots involve real routes and live deliveries to customers.

Amazon also showcased a warehouse robotic arm to sort parcels faster and more safely, as well as an AI orchestration system that ingests real-time and historical data to predict bottlenecks, propose fixes, and keep fulfillment operations running smoothly.

The move joins a broader push into wearables from Big Tech. Unlike Meta’s consumer-oriented Ray-Ban smart glasses, Amelia targets enterprise use, promising faster package location, fewer taps, and tighter integration with Amazon’s delivery workflow.

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Alibaba pushes unified AI with Quark Chat and wearables

Quark, Alibaba’s consumer AI app, has launched an AI Chat Assistant powered by Qwen3 models, merging real-time search with conversational reasoning so users can ask by text or voice, get answers, and trigger actions from a single interface.

On iOS and Android, you can tap ‘assistant’ in the AI Super Box or swipe right to open chat, then use prompts to summarise pages, draft replies, or pull sources, with results easily shared to friends, Stories, or outside the app.

Beyond Q&A, the assistant adds deep search, photo-based problem-solving, and AI writing, while supporting multimodal tasks like photo editing, AI camera, and phone calls. Forthcoming MCP integrations will expand agent execution across Alibaba services.

Quark AI Glasses opened pre-sale in China on October 24 via Tmall with a list price of 4,699 RMB before coupons or memberships, deliveries starting in phases from December, and 1 RMB reservations available on JD.com and Douyin.

Powered by Qwen for hands-free assistance, translation, and meeting transcription, the glasses emphasise lightweight ergonomics, long battery life, and quality imaging, with bundles, accessories, and prescription lens options to broaden fit and daily use.

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Autonomous AI may improve diabetic eye screening in safety-net clinics

Researchers are testing if autonomous AI at FQHCs can boost diabetic retinopathy detection, accelerate diagnosis, and improve referral follow-through. The JAMA-published trial targets patients missing DR screening for 11 months, using FDA-cleared AI to analyse fundus photos during routine visits.

Immediate results allow same-day action, potentially reducing missed referrals for patients facing time, travel, and cost barriers.

The randomised, open-label trial at two San Diego County clinics compares point-of-care AI-DRS to usual-care referrals. Nonmydriatic fundus images are captured by trained staff, analysed by the AI algorithm, and results flow into the electronic health record (EHR).

Positive cases trigger immediate retina appointments, while ungradable images prompt urgent ophthalmology referrals. Outcomes at 90 and 180 days include screening completion, DR stage at detection, referral adherence, and patient-reported knowledge, attitudes, and self-efficacy.

The AI-DRS has demonstrated high accuracy in prior studies, detecting more-than-mild and vision-threatening DR with sensitivities above 96%. Workflow integration aims to cut diagnostic delays, using closed-loop referrals and ICD-10 coding for consistent documentation and population health tracking.

The study also evaluates implementation metrics such as image quality, acquisition success, and patient trust in AI-supported care.

If successful, the model could help clinics meet screening targets and streamline workflows for primary care providers. The protocol focuses on training, quality checks, and real-world use, providing a scalable way to prevent avoidable vision loss in underserved communities.

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