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A good open world game is filled with little details that add to a player’s sense of immersion. One of the key elements is the presence of background chatter. Each piece of dialog you hear is known as a “bark” and must be individually written by the game’s creators — a time consuming, detailed task. Ubisoft, maker of popular open world gaming series like Assassin’s Creed and Watch Dogs, hopes to shorten this process with Ghostwriter, a machine learning tool that generates first drafts of barks.

To use Ghostwriter, narrative writers input the character and type of interaction they are looking to create. The tool then produces variations, each with two slightly different options, for writers to review. As the writers make edits to the drafts, Ghostwriter updates, ideally producing more tailored options moving forward.

The idea here is to save game writers time to focus on the big stuff. “Ghostwriter was created hand-in-hand with narrative teams to help them complete a repetitive task more quickly and effectively, giving them more time and freedom to work on games’ narrative, characters, and cutscenes,” Ubisoft states in a video release.

What if we’ll always be at the bottom of the Kardashev Scale? Join us… and find out!

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Did an advanced civilization exist before us? Could they have CREATED us?? In this video, Unveiled takes a closer look at the idea that humankind is actually built be a HIGHER POWER… that we’re really controlled by a force that’s beyond our recognition… and finds out what it could mean for the future of our species!

This is Unveiled, giving you incredible answers to extraordinary questions!

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The Six Million Dollar Man is an American science fiction and action television series about a former astronaut, Colonel Steve Austin, portrayed by American actor Lee Majors. Austin has superhuman strength due to bionic implants and is employed as a secret agent by a fictional U.S. government office named OSI The series was based on the Martin Caidin novel Cyborg, which. was the working title of the series during pre-production.

Following three television pilot movies, which all aired in 1973, the The Six Million Dollar Man aired on the ABC network as a regular episodic series for five seasons from 1974 to 1978. Steve Austin became a pop culture icon of the 1970s. A spin-off television series, The Bionic Woman, featuring the lead female character Jaime Sommers, ran from 1976 to 1978 (and was the subject of a remake in 2007). Three television movies featuring both bionic characters were also produced from 1987 to 1994.

When NASA astronaut Steve Austin is severely injured in the crash of an experimental lifting body aircraft, he is “rebuilt” in an operation that costs six million dollars. His right arm, both legs and the left eye are replaced with “bionic” implants that enhance his strength, speed and vision far above human norms: he can run at speeds of 60 mph (97 km/h), and his eye has a 20:1 zoom lens and infrared capabilities, while his bionic limbs all have the equivalent power of a bulldozer. He uses his enhanced abilities to work for the OSI (Office of Scientific Intelligence) as a secret agent.

In this video, we will explore the positional system of the brain — hippocampal place cells. We will see how it relates to contextual memory and mapping of more abstract features.

OUTLINE:
00:00 Introduction.
00:53 Hippocampus.
1:27 Discovery of place cells.
2:56 3D navigation.
3:51 Role of place cells.
4:11 Virtual reality experiment.
7:47 Remapping.
11:17 Mapping of non-spatial dimension.
13:36 Conclusion.

_____________
REFERENCES:

1) Anderson, M.I., Jeffery, K.J., 2003. Heterogeneous Modulation of Place Cell Firing by Changes in Context. J. Neurosci. 23, 8827–8835. https://doi.org/10.1523/JNEUROSCI.23-26-08827.

Register Free for NVIDIA’s Spring GTC 2023, the #1 AI Developer Conference: https://nvda.ws/3kEyefH
RTX 4,080 Giveaway Form: https://forms.gle/ef2Kp9Ce7WK39xkz9

The talk about AI taking our programming jobs is everywhere. There are articles being written, social media going crazy, and comments on seemingly every one of my YouTube videos. And when I made my video about ChatGPT, I had two particular comments that stuck out to me. One was that someone wished I had included my opinion about AI in that video, and the other was asking if AI will make programmers obsolete in 5 years. This video is to do just that. And after learning, researching, and using many different AI tools over the last many months (a video about those tools coming soon), well let’s just say I have many thoughts on this topic. What AI can do for programmers right now. How it’s looking to progress in the near future. And will it make programmers obsolete in the next 5 years? Enjoy!!

The Sessions I Mentioned:
Fireside Chat with Ilya Sutskever and Jensen Huang: AI Today and Vision of the Future [S52092]: https://www.nvidia.com/gtc/session-catalog/?ncid=ref-inor-73…314001t6Nv.
Using AI to Accelerate Scientific Discovery [S51831]: https://www.nvidia.com/gtc/session-catalog/?ncid=ref-inor-73…197001tw0E
Generative AI Demystified [S52089]: https://www.nvidia.com/gtc/session-catalog/?ncid=ref-inor-73…393001DjiP
3D by AI: Using Generative AI and NeRFs for Building Virtual Worlds [S52163]: https://www.nvidia.com/gtc/session-catalog/?ncid=ref-inor-73…782001l1Ul.
Achieving Enterprise Transformation with AI and Automation Technologies [S52056]: https://www.nvidia.com/gtc/session-catalog/?ncid=ref-inor-73…353001hjSr.

A portion of this video is sponsored by NVIDIA.

Amazon Robotics has manufactured and deployed the world’s largest fleet of mobile industrial robots. The newest member of this robotic fleet is Proteus—Amazon’s first fully autonomous mobile robot. Amazon uses NVIDIA Isaac Sim, built on Omniverse, to create high-fidelity simulations to accelerate Proteus deployments across its fulfillment centers.

Explore NVIDIA Isaac Sim: https://developer.nvidia.com/isaac-sim.

#Simulation.
#Robotics.
#DigitalTwin

In a recent perspective article published in the journal Science, researchers at the Young-Onset Colorectal Cancer Center of Dana-Farber Cancer Institute emphasized that a better understanding of the etiology of early-onset colorectal cancer (EOCRC) is crucial to managing its increasing incidence worldwide. So, they identified five critical areas for investigating EOCRC biology.

Perspective: A common cancer at an uncommon age. Image Credit: Anatomy Image / Shutterstock.

Unmanned aerial vehicles (UAVs), also known as drones, can help humans to tackle a variety of real-world problems; for instance, assisting them during military operations and search and rescue missions, delivering packages or exploring environments that are difficult to access. Conventional UAV designs, however, can have some shortcomings that limit their use in particular settings.

For instance, some UAVs might be unable to land on uneven terrains or pass through particularly narrow gaps, while others might consume too much power or only operate for short amounts of time. This makes them difficult to apply to more complex missions that require reliably moving in changing or unfavorable landscapes.

Researchers at Zhejiang University have recently developed a new unmanned, wheeled and hybrid that can both roll on the ground and fly. This unique system, introduced in a paper pre-published on arXiv, is based on a unicycle design (i.e., a cycling vehicle with a single wheel) and a rotor-assisted turning mechanism.

A model system created by stacking a pair of monolayer semiconductors is giving physicists a simpler way to study confounding quantum behavior, from heavy fermions to exotic quantum phase transitions.

The group’s paper, “Gate-Tunable Heavy Fermions in a Moiré Kondo Lattice,” published March 15 in Nature. The lead author is postdoctoral fellow Wenjin Zhao in the Kavli Institute at Cornell.

The project was led by Kin Fai Mak, professor of physics in the College of Arts and Sciences, and Jie Shan, professor of applied and engineering physics in Cornell Engineering and in A&S, the paper’s co-senior authors. Both researchers are members of the Kavli Institute; they came to Cornell through the provost’s Nanoscale Science and Microsystems Engineering (NEXT Nano) initiative.