A new AI model from Google DeepMind called AlphaGenome can predict how DNA mutations affect biological processes, helping pinpoint genes linked to diseases and speeding up drug discovery.

Robbyant, an embodied AI company within Ant Group, today announced the open-source release of LingBot-World, a world model that achieves industry-leading performance in video quality, dynamic fidelity ...

We use S3 source with ClickHouse as engine, and Rill for visualization. This example demonstrates advanced data modeling strategies for real-time analytics using ClickHouse and Rill. We showcase how ...

At the 2025 IFT FIRST Annual Event and Expo’s Solutions Showcase session Accelerating Predictive Insight with Causal AI and Synthetic Data in CPG Research, Jason Cohen, founder and CEO of Simulacra, ...

Pull requests help you collaborate on code with other people. As pull requests are created, they’ll appear here in a searchable and filterable list. To get started, you should create a pull request.

Direct prompt injection is the hacker’s equivalent of walking up to your AI and telling it to ignore everything it’s ever been told. It’s raw, immediate, and, in the wrong hands, devastating. The ...

The 3D printing laboratory, operating within the Simulation Centre of the Faculty of Medicine at Masaryk University (SIMU), has contributed to the development of 3D printing in medicine by launching a ...

Thought for the week: Multilateralism is dead. Long live multilateralism. Editor's note: The IAPP is policy neutral. We publish contributed opinion and analysis pieces to enable our members to hear a ...

Singapore-based AI startup Sapient Intelligence has developed a new AI architecture that can match, and in some cases vastly outperform, large language models (LLMs) on complex reasoning tasks, all ...

A new kind of large language model, developed by researchers at the Allen Institute for AI (Ai2), makes it possible to control how training data is used even after a model has been built.

When AI models fail to meet expectations, the first instinct may be to blame the algorithm. But the real culprit is often the data—specifically, how it’s labeled. Better data annotation—more accurate, ...