Lifeboat Foundation

(CNN) — A British man has become the first patient in the world to be fitted with a 3D printed eye, according to Moorfields Eye Hospital in London.

Steve Verze, who is 47 and an engineer from Hackney, east London, was given the left eye on Thursday and first tried it for size earlier this month.

Moorfields Eye Hospital said in a press release Thursday that the prosthetic is the first fully digital prosthetic eye created for a patient.

A new Artificial Intelligence model manages to do complex physics simulations in real time with only using a fraction of the power that a traditionally computed simulation would use. These simulations could soon be used for things like biotechnology, gaming, weather predictions and more. Two Minute Papers has done several videos on it before, but this is a more complex AI with a wider range of applications.
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TIMESTAMPS:
00:00 The Future of Advanced Physics Simulations.
01:57 How this new approach to AI works.
04:03 Are medical simulations a possibility?
06:02 Last Words.
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#ai #physics #simulation

A new and revolutionary approach to building Artificial Intelligence models has shown promise of enabling almost any device, regardless of how powerful it is, to run enormous and intelligent Artificial Intelligence’s in a similar way to how our Human Brain operate. This is partially done with new and improved Neuromorphic Computing Hardware which is modelled after our real brains. We may soon see AI beating humans at many different general tasks like an Artificial General Intelligence.
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TIMESTAMPS:
00:00 The Impossibility of Human AI
01:54 A new Approach is in town.
04:33 Other approaches to AI
06:44 Is this the Future of Artificial Intelligence?
09:43 Last Words.
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#ai #agi #neuralcomputing

Welcome to AIP.
- The main focus of this channel is to publicize and promote existing SoTA AI research works presented in top conferences, removing barrier for people to access the cutting-edge AI research works.
- All videos are either taken from the public internet or the Creative Common licensed, which can be accessed via the link provided in the description.
- To avoid conflict of interest with the ongoing conferences, all videos are published at least 1 week after the main events. A takedown can be requested if it infringes your right via email.
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- AI conferences covered include: NeurIPS (NIPS), AAAI, ICLR, ICML, ACL, NAACL, EMNLP, IJCAI

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Continue reading “Yann LeCun” »

This video introduces the self-supervised representation learning and why we need it. It also discusses the entire pipeline of performing the self-supervised Learning (Learning form unlabeled data). This is the part-1 of the video. The link for part-2 is — https://www.youtube.com/watch?v=j-RSaXzwIHw

Deep Learning systems can achieve remarkable, even super-human performance through supervised learning on large, labeled datasets. However, there are two problems: First, collecting ever more labeled data is expensive in both time and money. Second, these deep neural networks will be high performers on their task, but cannot easily generalize to other, related tasks, or they need large amounts of data to do so. In this blog post, Yann LeCun and Ishan Misra of Facebook AI Research (FAIR) describe the current state of Self-Supervised Learning (SSL) and argue that it is the next step in the development of AI that uses fewer labels and can transfer knowledge faster than current systems. They suggest as a promising direction to build non-contrastive latent-variable predictive models, like VAEs, but ones that also provide high-quality latent representations for downstream tasks.

OUTLINE:
0:00 — Intro & Overview.
1:15 — Supervised Learning, Self-Supervised Learning, and Common Sense.
7:35 — Predicting Hidden Parts from Observed Parts.
17:50 — Self-Supervised Learning for Language vs Vision.
26:50 — Energy-Based Models.
30:15 — Joint-Embedding Models.
35:45 — Contrastive Methods.
43:45 — Latent-Variable Predictive Models and GANs.
55:00 — Summary & Conclusion.

Continue reading “Yann LeCun — Self-Supervised Learning: The Dark Matter of Intelligence (FAIR Blog Post Explained)” »

Women constitute a mere 22 per cent or less than a quarter of professionals in the field of AI and Data Science.

There is a troubling and persistent absence of women when it comes to the field of artificial intelligence and data science. Women constitute a mere 22 per cent or less than a quarter of professionals in this field, as says the report “Where are the women? Mapping the gender job gap in AI,” from The Turing Institute. Yet, despite low participation and obstacles, women are breaking the silos and setting an example for players out in the field of AI.

To honour their commitment and work done, we have listed some of the women innovators and researchers who have worked tirelessly and contributed significantly to the field of AI and data science. The list below is provided in no particular order.

Continue reading “Women Innovators And Researchers Who Made A Difference In AI In 2021” »

The Seoul Metropolitan Government (SMG) is the first local government in Korea to establish a metaverse platform, which has emerged as a contactless communication channel in the post-pandemic era, to start providing a new-concept public service by using the platform in its administration.

The SMG plans to establish “Metaverse Seoul” (tentatively named), a high-performance platform, by the end of next year, and create a metaverse ecosystem for all areas of its municipal administration, such as economic, cultural, tourism, educational and civic service, in three stages from next year.

Starting with the pilot program of a Bosingak Belfry virtual bell ringing event at the end of this year, the SMG will consecutively provide various business support facilities and services, including the Virtual Mayor’s Office, Seoul FinTech Lab, Invest Seoul and Seoul Campus Town, on its metaverse platform.

Sensors introduce an important new method to spot bio-marker for brain diseases Accurate timings of when brain signals fire demonstrated for the first time by the Sussex scientists, which has implications for tracking the onset of brain disease The quantum brain sensors could present a more efficient and accurate alternative to EEG and fMRI scanners.