Yan Xin, a female scientist at Hainan Xingye Torch Company, used gene editing technology to cultivate super rubber seeds and went to Yinfan Island overseas for trial planting, hoping to turn it into a rich new world. Lin Xiang of the International Security Company personally led the team to this crisis-ridden land in order to protect his still beloved ex-wife Yan Xin. Since their arrival, conflicts and conspiracies have been taking turns, with the figure of local drug lord Li Wenyao looming behind them. Unknown dangers, the ultimate showdown, the two people opposing good and evil cannot escape the destined battle.
A terrible detective is on the verge of being fired. To save his career he is assigned to assist a highly skilled officer on a top-secret case involving a chain of murders. Can they find who the spree murderer is based off only a stick figure sketch?
Former special forces operative Ke Bei is pulled into a dangerous drug cartel deal while on a foreign trip. In his effort to protect his family, he confronts the criminal gang, only to discover his old rival, Wild Dog, among them. Reluctant to risk his comrades or compromise his country, Ke Bei goes in alone, unaware that his loyal Red Leopard team has reassembled to support him from the shadows.
Achilles is driven by a relentless pursuit of monetary gain, unaware of the profound secrets that lie hidden within his own past. As his journey unfolds, he gradually unravels the tragic truths that have shaped his life, leading to a reckoning with identity, revenge, and the consequences of his choices.
After being framed for stealing a valuable briefcase from a mob boss, two lowlifes have to set things right... with violence. The short film made as the concept for the 2024 feature length film "Italian Beef."
After the murder of a baker, a police officer teams up with his partner on the case, Mr. Elephant. As more tracks are discovered, they go through different moments, until a terrible secret could end their friendship.
In this talk, I will discuss whether overfitted DNNs in adversarial training can generalize from an approximation viewpoint. We prove by construction the existence of infinitely many adversarial training classifiers on over-parameterized DNNs that obtain arbitrarily small adversarial training error (overfitting), whereas achieving good robust generalization error under certain conditions concerning the data quality, well separated, and perturbation level. This construction is optimal and thus points out the fundamental limits of DNNs under adversarial training with statistical guarantees. Part of this talk comes from our recent work.
'Crabs In A Bucket', a feature film created by a three man team (Justyce Padilla, Nate Wilburn, and Sebastian Saavedra); is about Andy and Anthony. Two men connected by a dark past that run a scam cleaning service to steal from unsuspecting customers.
A Killer finds a fallen coin which introduces us to the chilling story of three friends falling in deep trouble after their paths crosses with the killer.
An alcoholic woman with a marriage on the rocks finds an unlikely ally in a wounded drug mule when the two of them are forced to defend her home from a violent siege of corrupt small town cops.