Category: AI News

[ad_1] A new technology from digital banking platform Plumery AI aims to address a dilemma for financial institutions: how to move beyond proofs of concept and embed artificial intelligence into everyday banking operations without compromising governance, security, or regulatory compliance. Plumery’s “AI Fabric” has been positioned by the company as a standardised framework for connecting…

[ad_1] Black Forest Labs releases FLUX.2 [klein], a compact image model family that targets interactive visual intelligence on consumer hardware. FLUX.2 [klein] extends the FLUX.2 line with sub second generation and editing, a unified architecture for text to image and image to image, and deployment options that range from local GPUs to cloud APIs, while…

[ad_1] The German AI startup Black Forest Labs (BFL), founded by former Stability AI engineers, is continuing to build out its suite of open source AI image generators with the release of FLUX.2 [klein], a new pair of small models — one open and one non-commercial — that emphasizes speed and lower compute requirements, with…

[ad_1] One of First Insight’s core claims is that Ellis makes consumer insight accessible outside of specialist analytics teams. Natural-language queries, the company argues, lets senior executives down engage with data with no waiting for analysis. Democratisation of analytics is a recurring theme in a great deal of industry research. Gartner reports organisations which broaden…

[ad_1] def _now_iso() -> str: return datetime.utcnow().replace(microsecond=0).isoformat() + “Z” def _stable_id(prefix: str, seed: str) -> str: h = hashlib.sha256(seed.encode(“utf-8″)).hexdigest()[:10] return f”{prefix}_{h}” class MockEHR: def __init__(self): self.orders_queue: List[SurgeryOrder] = [] self.patient_docs: Dict[str, List[ClinicalDocument]] = {} def seed_data(self, n_orders: int = 5): random.seed(7) def make_patient(i: int) -> Patient: pid = f”PT{i:04d}” plan = random.choice(list(InsurancePlan)) return Patient( patient_id=pid,…

[ad_1] Anthropic's open source standard, the Model Context Protocol (MCP), released in late 2024, allows users to connect AI models and the agents atop them to external tools in a structured, reliable format. It is the engine behind Anthropic's hit AI agentic programming harness, Claude Code, allowing it to access numerous functions like web browsing…

[ad_1] OpenAI, Google, and Anthropic announced specialised medical AI capabilities within days of each other this month, a clustering that suggests competitive pressure rather than coincidental timing. Yet none of the releases are cleared as medical devices, approved for clinical use, or available for direct patient diagnosis—despite marketing language emphasising healthcare transformation. OpenAI introduced ChatGPT Health on…

[ad_1] Google Research has expanded its Health AI Developer Foundations program (HAI-DEF) with the release of MedGemma-1.5. The model is released as open starting points for developers who want to build medical imaging, text and speech systems and then adapt them to local workflows and regulations. https://research.google/blog/next-generation-medical-image-interpretation-with-medgemma-15-and-medical-speech-to-text-with-medasr/ MedGemma 1.5, small multimodal model for real clinical…