Charlie and George have been plotting for the last few months on how to take over Mitchell Mose's drug distribution buisiness from within. This is their moment of truth.
In October 1986, a dispute erupted between students of Thankamani village and a private bus owner over service to the area which didn't have proper roads.
Reclusive gym manager Lou falls hard for Jackie, an ambitious bodybuilder headed through town to Las Vegas in pursuit of her dream. But their love ignites violence, pulling them deep into the web of Lou’s criminal family.
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 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.
Over the course of one night while picking up abandoned furniture from the side of the road, one man confronts his own position in life and deals with the internal choices he has made in an attempt to achieve more.
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.