I have been an ML engineer for over 2 years in a US based company in India. Working in this company(service based) I saw my whole life playout: Senior MLE in a year, Solution Architect in a couple more, and finally leading a project in a couple more years with proportional increase in pay of course. Seeing my next 5-7 years pan out this way I suddenly realized that this wont be sufficient to satisfy the intellectual in me and also made me realize how much I am actually interested in research (I have a paper published in IEEE related to Deep Learning and Instrumentation) and how much I enjoy making something new. So in short, as my first priority I am looking for something research driven. Since I am research/innovation driven, post MS I will be looking for a job in a research lab (or a research wing in a company).

The possibility always exists, even if we neither accept it nor appreciate it! There is a reason to develop and that reason takes us ahead towards the impossible mission with speed and higher abilities. The idea of deep learning can be a reality since science has started walking towards it with the goal that it will be achieved. Nothing stands as impossible forever if we as professionals aim still higher during each passing semester. The fruit will be sweet of deep learning!

The deepfake technology this TikToker is using to impersonate Tom Cruise, apparently (via The Daily Beast). The deeptomcruise account appears to feature someone who's pretending to be the famous actor, and the impression isn't just jaw-dropping because of how well the person replicates Cruise's famous laugh. How can you tell it's not actually Tom Cruise using some sort of strange Twitter name? First, his voice is close, but it's not quite there, especially since the lip-syncing is a tiny bit off at some points. You can hear what the real Cruise sounds like in this video (unless, of course, James Corden also deepfaked him in).

Wattpad uses a machine-learning program called StoryDNA to scan all the stories on its platform and surface the ones that seem like candidates for …

Reinforcement learning (RL) is the area of machine learning that is concerned with how software is able to take the right decision.

Intellectual property is the lifeblood of entertainment, and Hollywood badly needs a transfusion. Stuck recycling the same ideas and producing the same franchises, Hollywood is now looking to podcasts, news articles, and even songs and paintings to dredge up stories that could be hits with global audiences. Finding the right stories--and developing them into things that actually exist on screen--can be an arduous, money-draining process. One company thinks it has found an efficient new way to sift through millions of user-generated stories to find the next Hollywood hits: artificial intelligence. And, on occasion, it actually brings fans of those stories into the arcane process of developing them for the screen.

In collaboration with Sorbonne University, Facebook AI introduced a new benchmark for continual learning (CL). This presents excellent means to improve traditional machine learning (ML) methods by training AI models to mimic the way humans learn new tasks. The team addresses one of the most vital bottlenecks associated with modern AI systems: their reliance on massive human-labeled datasets. Humans can learn from past experiences but applying the same to AI is not easy. Generally, ML systems are trained in isolation, thus require specific models for each new task.

Three days ago, a TikTok account going by @deeptomcruise began posting video clips of the Hollywood actor Tom Cruise doing everything from golfing, to tripping and telling a joke in what appears to be a men's clothing store in Italy, to performing a magic trick with a coin. In each of the three videos, Cruise delivers his signature maniacal laugh--you know, the one he repeatedly unleashed in that batty Scientology recruitment video years back--before launching into some sort of bit, and in all of them, it looks just like Cruise. There are a few giveaways, of course. Also, his voice is hollow and scratchy, a la that scene in Face/Off where John Travolta-as-Nicolas Cage is trying to adjust his vocals to that Cage-ian timbre. Still, the Cruise TikToks managed to bewilder and horrify a number of people.

Transformers are dominating Deep Learning, but their quadratic memory and compute requirements make them expensive to train and hard to use. Many papers have attempted to linearize the core module: the attention mechanism, using kernels - for example, the Performer. However, such methods are either not satisfactory or have other downsides, such as a reliance on random features. This paper establishes an intrinsic connection between linearized (kernel) attention and the much older Fast Weight Memory Systems, in part popularized by Jürgen Schmidhuber in the 90s. It shows the fundamental limitations of these algorithms and suggests new update rules and new kernels in order to fix these problems. The resulting model compares favorably to Performers on key synthetic experiments and real-world tasks.

A Terminator anime from the legendary studio behind the Ghost in the Shell franchise is coming to Netflix. The streaming giant didn't share any details on the plot, but showrunner Mattson Tomlin, who worked on Project Power for Netflix, told Variety he plans to approach the franchise in a way that "breaks conventions, subverts expectations and has real guts." If you're an anime fan, you need no introduction to Production I.G. In addition to adapting Masamune Shirow's seminal manga, the studio has worked on popular series like Psycho-Pass and Eden of the East. The most terrifying killing machine in sci-fi history is back, just like it promised.