Tag

Foundation Models

All articles tagged with #foundation models

technology12 days ago•4 min saved

iOS 27 Beta 3 Elevates Siri AI With On-Device Intelligence and Foundation Models

Apple’s iOS 27 beta 3 introduces a major Siri AI upgrade powered by Apple Intelligence and Foundation Models, delivering richer conversations, some on-device AI, a Dynamic Island–integrated Siri interface, and broader app integration across the system; however, many features require newer hardware. The release also brings UI refinements (Liquid Glass), performance improvements, and tweaks to Photos, Camera, Messages, and AirPods.

via 9to5Mac|

#apple-intelligence #foundation-models #ios-27

technology26 days ago•4 min saved

iOS 27 Beta 2 Expands Siri AI Across Apple Apps and Interfaces

Apple’s iOS 27 beta 2 centers on a major Siri AI upgrade powered by Apple Intelligence and Foundation Models, enabling richer conversations, on-device and Private Cloud Compute, and broader AI features across Photos, Safari, Passwords, Mail, Messages, and more, with a redesigned Siri experience tied to Dynamic Island and a dedicated Siri app. Device compatibility varies (iPhone 11+ and iPhone SE 2+ supported; strongest on-device AI on newer hardware like iPhone 17 Pro and iPhone Air). Beta 2 typically focuses on bug fixes and refinements, with a public beta expected in July and a full release this fall.

via 9to5Mac|

#apple-intelligence #dynamic-island #foundation-models

technology1 month ago•3 min saved

Apple rolls out AI-powered developer tools with prompt-built app demo at WWDC26

Apple kicked off WWDC26 with a 90-minute session showing off new developer AI tools, including a demo where an entire app is built from a single prompt and refined with follow-ups, new Xcode 27 features for upfront project planning, and deeper integration of Siri AI with the Apple Foundation Models, Core AI, and MLX frameworks, plus a locally run 1-trillion-parameter Kimi 2.6 model in LM Studio across Mac Studios.

via 9to5Mac|

#ai-tools #apple #foundation-models

technology1 month ago•7 min saved

Apple unveils AFM 3: five foundation models spanning on-device to Google Cloud Pro

Apple unveils AFM 3, its third generation of Foundation Models, a five-model lineup spanning on-device options (AFM 3 Core and AFM 3 Core Advanced) and cloud-based ones (AFM 3 Cloud, ADM 3 Cloud (Image), AFM 3 Cloud Pro), with AFM 3 Cloud Pro hosted on NVIDIA GPUs in Google Cloud. The rollout extends Private Cloud Compute to third-party infrastructure while preserving Apple’s privacy protections, highlights a sparse 20‑billion-parameter AFM 3 Core Advanced architecture, and reports extensive human evaluations showing improvements over prior generations; training used a mix of public, licensed, open-source, synthetic data and did not include user data, with publishers able to opt out of training.

via 9to5Mac|

#ai #apple #cloud-computing

technology1 month ago•11 min saved

AI-powered virtual cells set to forecast how biology reacts to perturbations

Researchers are building ‘virtual cells’—AI- and mechanistic-models trained on large transcriptomic and other omics datasets—to simulate cellular states and predict how cells respond to different perturbations, with the goal of speeding hypothesis generation and identifying therapeutic avenues. While foundations models and data platforms (like scBaseCount, Pisces, X-Atlas, and State) show promise for predicting perturbation effects and immune-cell behavior, experts caution that current models mainly capture static states, struggle with dynamic evolution and tissue-scale mapping, and remain limited by noisy data and a need for causal, diverse training data to achieve robust, translatable predictions.

via Nature|

#foundation-models #perturbation-data #systems-biology

technology2 months ago•10 min saved

Charting the ascent of biomedical foundation models

A Nature Biotechnology survey analyzes the current landscape of biomedical foundation models, highlighting trends across modalities, networks of modality integration, and rising citation activity, and offering outlooks on future developments and challenges in applying AI foundations to biomedicine.

via Nature|

#ai-in-biomedicine #biomedical-foundation-models #biomedical-informatics

technology1 year ago•2 min saved

Apple Defends AI Strategy Amidst WWDC Disappointment

Apple executives clarified that the AI-powered Siri demoed at WWDC 25 was not vaporware, but a work-in-progress technology that will be shipped in a more advanced form in 2026. They emphasized that Apple's AI strategy focuses on integrating intelligence across its platforms rather than creating a chatbot to compete with ChatGPT, and that the current demonstrations involved real software with a large language model, though still not ready for release due to error rates.

via TechCrunch|

#ai #apple #foundation-models

technology1 year ago•1 min saved

Apple Unveils AI Enhancements and Innovative Features at WWDC 2025

At WWDC 2025, Apple announced a new version of Xcode that integrates OpenAI's ChatGPT for coding and documentation, allowing developers to connect AI models from other providers via API keys. Additionally, Apple launched the Foundation Models framework for on-device AI, enabling developers to access AI models with minimal code, and demonstrated Swift Assist, a coding assistant for Xcode.

via TechCrunch|

#ai-models #apple #chatgpt

technology1 year ago•2 min saved

Apple Unveils AI Innovations and New Technologies at WWDC

Apple announced new enhancements to its developer tools, including a redesigned software interface, the Foundation Models framework for on-device AI, and Xcode 26 with large language model integration, aimed at fostering creativity and innovation across its platforms.

via Apple|

#apple #developer-tools #foundation-models

technology1 year ago•4 min saved

Synthesia Co-Founder Secures $13M to Revolutionize 3D AI Creation

European AI researcher Matthias Niessner has raised $13 million to develop advanced 3D environment generation models from text prompts, aiming to create interactive, photorealistic 3D worlds with potential applications in gaming, entertainment, and real-world simulations. The startup SpAItial, founded by Niessner and a team of experts, seeks to license its technology for various downstream uses, focusing on quality and interactive 3D spaces, with the ambitious goal of enabling anyone to create their own video game in minutes.

via TechCrunch|

#3d-models #ai #foundation-models

technology2 years ago•3 min saved

"Developing Earth Observation-Powered Chat Tools"

ESA, in collaboration with technology partners, is developing AI applications to revolutionize information retrieval in Earth observation by creating a ChatGPT-style text-based enquiry tool. These applications, supported by the ESA InCubed programme, use AI to monitor events like earthquakes and create flood maps for disaster response teams. ESA is also working on foundation models dedicated to Earth observation-related tasks, such as the PhilEO model, which recognizes features without human supervision. Separate initiatives are focused on creating a digital assistant that can process natural language questions and provide answers based on Earth observation data, with the goal of yielding game-changing results in the near future.

via European Space Agency|

#ai-applications #digital-assistant #earth-observation

science-and-technology2 years ago•10 min saved

"The Evolution of AI Understanding Life"

Artificial intelligence programs, known as foundation models, are revolutionizing biology by making discoveries about genes, cells, and development. These models, trained on vast amounts of raw data, have the potential to reveal secrets about diseases, create new cell types, and even answer the fundamental question of what separates life from nonlife. While some scientists are optimistic about the profound insights these models may provide, others caution that their limitations and potential risks, such as privacy breaches and the creation of new biological weapons, need to be carefully considered and regulated.

via Yahoo News|

#artificial-intelligence #biology #cell-research

technology2 years ago•3 min saved

"Europe's Quest for Global AI Regulation: Can Leaders Reach a Deal?"

The European Union's push to approve comprehensive artificial intelligence (AI) rules is at risk of being upended due to the emergence of generative AI systems. The EU's Artificial Intelligence Act, hailed as a pioneering rulebook, is facing challenges as negotiators struggle to reach a deal on issues such as regulating generative AI and banning police use of facial recognition systems. If a deal is not reached in the current round of talks, the legislation could be delayed or take a different direction. One major sticking point is the regulation of foundation models, which underpin general-purpose AI services. France, Germany, and Italy are calling for self-regulation, seen as an attempt to support their own generative AI players.

via The Associated Press|

#ai-regulation #european-union #facial-recognition

technology2 years ago•3 min saved

"France, Germany, and Italy Unite for Mandatory Self-Regulation in EU's AI Law"

France, Germany, and Italy are pushing for "mandatory self-regulation" through codes of conduct for foundation models in the EU's AI Act, rather than prescriptive obligations. The three countries argue that regulating General Purpose AI systems instead of foundation models would be more in line with the risk-based approach. They propose that foundation model developers define model cards summarizing information about trained models, and an AI governance body could help develop guidelines and check the application of model cards. The three countries also suggest that sanctions should only be applied following systematic infringements of the codes of conduct. The approach to foundation models will be discussed in upcoming meetings.

via EURACTIV|

#ai-act #eu #foundation-models

technology2 years ago•11 min saved

The Future of AI in Healthcare: Regulations, Integration, and Collaboration

AI-based tools are increasingly being used in medical care, particularly in the field of medical imaging. However, many clinicians remain skeptical and cautious about their performance and impact on patient care. While AI tools have shown promise in assisting with tasks such as flagging potential issues in medical scans, they also have limitations and can make mistakes. The current focus is on developing generalist medical AI models that can assess and diagnose various anomalies in medical scans, similar to a physician. These models, known as foundation models, are trained on large datasets and show potential in overcoming the limitations of first-generation AI tools. However, there is still a long way to go before these tools can be safely integrated into clinical care.

via Nature.com|

#ai-revolution #foundation-models #generalist-medical-ai