The Ukrainian military is stepping up its campaign to destroy vehicles supplying Russian forces along crucial roads in occupied Ukraine using new AI drone technology, experts say. BBC Verify has confirmed footage of at least 14 incidents published in the past week of vehicles carrying food, fuel and ammunition being targeted along critical routes connecting Russia to Crimea and other occupied territories in southern Ukraine. Ukraine is starting to regain more ground than it is losing for the first time since 2023, analysis from the Institute for the Study of War (ISW) indicates. After more than four years of war and increased Russian occupation of eastern and southern Ukraine, neither side has gained any significant ground in recent months. Experts say recent drone technology advancements, including the AI-enabled Hornet system, have allowed Ukraine to attack Russian targets travelling to the front lines at greater distances and with increased accuracy.

OpenAI is refocusing its research efforts and throwing its resources into a new grand challenge. The San Francisco firm has set its sights on building what it calls an AI researcher, a fully automated agent-based system that will be able to go off and tackle large, complex problems by itself. OpenAI says that this new research goal will be its "North Star" for the next few years, pulling together multiple research strands, including work on reasoning models, agents, and interpretability .

This post contains a list of the AI-related seminars that are scheduled to take place between 2 March and 30 April 2026. All events detailed here are free and open for anyone to attend virtually. Farnaz Farzadnia, Sebastian Merten, Francesca Da Ros Association of European Operational Research Societies To receive the seminar link, sign up to the mailing list . Keyon Vafa (Harvard University) EPFL The Zoom link is here . Javier M. Moguerza (Research Centre for Intelligent Information Technologies) Association of European Operational Research Societies To receive the seminar link, sign up to the mailing list .

The development of deep learning approaches for modeling these multifactorial effects of GVs is still in its nascent stages, primarily due to the lack of comprehensive datasets that capture the intricate relationships between GVs and their downstream effects on complex traits.

That is, letusregardHk = Cq.

A batch size of 2048 is used during training with a learning rate of 1e-4. Both training and rendering were conducted using A WS. A.2 PixelNeRF We used a constant learning rate of 1e-4. To train PixelNeRF on Objaverse-XL we render the meshes in Blender. Each model is normalize to a bounding cube. We believe that models such as Zero123-XL, and those trained on Objaverse-XL, will enhance the ease of 3D content creation, enabling broader accessibility for individuals and businesses to participate.

Here , denotes the Euclidean inner product,W is a window size,N( |v) a negative sampling distributionforvertexv andσ(y):=(1+e y) 1 thesigmoidfunction. Usually one takesℓP(y) = logσ(y)andℓN(y) = logσ( y).

This post contains a list of the AI-related seminars that are scheduled to take place between 4 February and 31 March 2026. All events detailed here are free and open for anyone to attend virtually. Carolina Osorio (Google Research and HEC Montreal) Association of European Operational Research Societies To receive the seminar link, sign up to the mailing list . Sashank Varma (Georgia Tech) University of Minnesota Zoom registration is here . Vicky Kalogeiton (École Polytechnique) AIDA Zoom link is here .