How sequence-based AI achieve whole genome screening for billions of small molecule and antibody candidates in hours

As biological data volume continues to grow, sequence-based AI is poised to become the dominant discovery layer across pharma, biotech, and industrial biology. Ainnocence is expanding partnerships, ...

AI models are starting to crack high-level math problems

“I was curious to establish a baseline for when LLMs are effectively able to solve open math problems compared to where they ...
eWeek

GPT-5.2 Just Solved a 30-Year Math Problem

GPT-5.2 Pro delivers a Lean-verified proof of Erdős Problem 397, marking a shift from pattern-matching AI to autonomous ...

Applied Digital Just Solved AI's Biggest Bottleneck with Technology From the 1800s

Applied Digital signed a limited notice to proceed with Babcock & Wilcox in November to deliver 1 GW of power. B&W has been ...
IEEE

Constrained Optimization With Decision-Dependent Distributions

Abstract: In this article, we deal with stochastic optimization problems where the data distributions change in response to the decision variables. Traditionally, the study of optimization problems ...

Entanglement Completes Acquisition of Applied Ocean Sciences

Driven AI with World-Class Ocean Science to Solve Earth-Scale Problems In a Time That Matters AOS was founded to push the limits of what’s possible, combining our teams accelerates that ...
SciELO

Robust Multi-objective Optimization Applied to Engineering Systems Design

In engineering systems design, theoretical deterministic solutions can be hardly applied directly to real-world scenarios. Basically, this is due to manufacturing limitations and environmental ...
IEEE

Multi-objective Quantum Optimization based on Bayesian Approach for Computing Resource Assignment Problems

Abstract: In quantum optimization approaches, such as Quantum Approximate Optimization Algorithms (QAOA) and quantum annealing, the optimal solution is obtained by minimizing an energy function that ...