The multiple condition (MC)-retention model is an uncertainty-aware graph-based neural network that predicts liquid chromatography (LC) retention times across multiple column chem ...

Heterogeneous NPU designs bring together multiple specialized compute engines to support the range of operators required by ...

As the way of managing enterprise data assets evolves from simple accumulation to value extraction, the role of AI has shifted accordingly: it is no longer limited to basic data processing and ...

Google Research unveiled TurboQuant, a novel quantization algorithm that compresses large language models’ Key-Value caches ...

CTV exists in a strange middle territory, borrowing the emotional scale of broadcast television and the data infrastructure ...

Bringing a single drug to market can take more than a decade and cost billions of dollars, with fewer than one in ten candidates successfully reaching approval. Against this backdrop, generative AI is ...

Unlike probabilistic methodologies, Samba's dataset is built from the ground up as Samba AI indexes streaming, broadcast, and digital media, using opted-in deterministic signals from tens of millions ...

Macworld explores switching from Apple Watch to Whoop band, a subscription-based fitness tracker focusing on Sleep, Recovery, ...

Explore how AI in high-throughput screening improves drug discovery through advanced data analysis, hit identification and ...

Customer data platform maker GrowthLoop Inc. today introduced a composable artificial intelligence analytics platform ...

Solana, Dogecoin, Tron, and BlockDAG each reflect different layers of activity shaping today’s crypto market, often surfacing ...

The old attribution problem was a measurement problem: tracking was imperfect, but the touchpoints existed. Statistical models filled the gaps with reasonable accuracy for most use cases. The new ...