The Bank of Canada has published a paper which furthers research on privacy in payments, by proposing a credential scheme that is also resistant to quantum computing attacks
Highlights
1.Digital payments and decentralized systems enable the creation of new financial products and services for users.
2. One core challenge in digital payments is the need to protect users from fraud and abuse while retaining privacy in individual transactions.
The Bank of Canada:
*proposes a pseudonymous credential scheme for use in payment systems to tackle this problem. The scheme is privacy-preserving, efficient for practical applications, and hardened against quantum computing attacks.
* presents a constant-round, interactive, zero-knowledge proof of knowledge (ZKPOK) that relies on a one-way function and an asymmetric encryption primitive—both of which need to support at most one homomorphic addition. The scheme is implemented with SWIFFT as a post-quantum one-way function and ring learning with errors as a post-quantum asymmetric encryption primitive, with the protocol deriving its quantum- hardness from the properties of the underlying primitives.
*evaluated the performance of the ZKPOK instantiated with the chosen primitive and found that a memory footprint of 85 KB is needed to achieve 200 bits of security. Comparison reveals that our scheme is more efficient than equivalent, state-of-the-art post-quantum schemes.
A practical and interactive credential mechanism was constructed from the proposed building blocks, in which users are issued pseudonymous credentials against their personally identifiable information that can be used to register with financial service providers without revealing personal information.
The protocol is shown to be secure and free of information leakage, preserving the user’s privacy regardless of the number of registrations.
Highlights
1.Digital payments and decentralized systems enable the creation of new financial products and services for users.
2. One core challenge in digital payments is the need to protect users from fraud and abuse while retaining privacy in individual transactions.
The Bank of Canada:
*proposes a pseudonymous credential scheme for use in payment systems to tackle this problem. The scheme is privacy-preserving, efficient for practical applications, and hardened against quantum computing attacks.
* presents a constant-round, interactive, zero-knowledge proof of knowledge (ZKPOK) that relies on a one-way function and an asymmetric encryption primitive—both of which need to support at most one homomorphic addition. The scheme is implemented with SWIFFT as a post-quantum one-way function and ring learning with errors as a post-quantum asymmetric encryption primitive, with the protocol deriving its quantum- hardness from the properties of the underlying primitives.
*evaluated the performance of the ZKPOK instantiated with the chosen primitive and found that a memory footprint of 85 KB is needed to achieve 200 bits of security. Comparison reveals that our scheme is more efficient than equivalent, state-of-the-art post-quantum schemes.
A practical and interactive credential mechanism was constructed from the proposed building blocks, in which users are issued pseudonymous credentials against their personally identifiable information that can be used to register with financial service providers without revealing personal information.
The protocol is shown to be secure and free of information leakage, preserving the user’s privacy regardless of the number of registrations.
The 10 Best ChatGPT plugins of 2023 and how to make the most of them
ZDNET
The 10 best ChatGPT plugins of 2023
To get the most out of the ChatGPT AI chatbot, you need to use plugins. Here are ZDNET's picks for the best ChatGPT plugins available today.
Humane's AI wearable revealed
Humane, a discreet hardware startup formed by former Apple employees, has disclosed information about its product, the Humane AiPin.
This wearable device boasts a projected display and AI functionalities, capable of tasks like email summarization, language translation, object recognition, and interface projection.
Humane, a discreet hardware startup formed by former Apple employees, has disclosed information about its product, the Humane AiPin.
This wearable device boasts a projected display and AI functionalities, capable of tasks like email summarization, language translation, object recognition, and interface projection.
TechCrunch
Secretive hardware startup Humane’s first product is the Ai Pin
Humane, the startup launched by ex-Apple design and engineering duo Imran Chaudhri and Bethany Bongiorno, today revealed details about its first product: The Humane Ai Pin.
Investing_in_DeFi_Cointelegraph_June_2023_1688456882.pdf
44.4 MB
Cointelegraph released a 'comprehensive' guide to defi.
Plenty of useful info where you can flip to certain sections for reference or read the report in full for a 'DeFi 101'.
Nice easy to understand format which covers:
- Is DeFi Poised For a Resurgence?
- Key Highlights
- Insider Insights
- Why DeFi?
- Under & overvaluation on the Market
- Risk On or Risk Off?
- How Will Macroeconomic Events Impact DeFi?
- How Institutional Capital Controls the DeFi Market
- MACD and Other Indicators
- Does the CME have an Impact on Crypto Markets?
- Contango Bleed and Backwardation
- Risks In DeFi — Hacks
- User Experience In DeFi
- Price Oracles — an Important Part of DeFi
- Enter GameFi as Part of the DeFi Ecosystem
- Tokenomics
- Tokenomics — Types of Coins and Tokens
- Alt Cycles & Seasons
- Seasonality in DeFi
- Bitcoin as the Crypto Risk-Free Rate
- Pros & Cons Measuring Portfolio in BTC, ETH, USD
- 10 Tips to Fundamental Analysis
- DeFi Tools
- Is There A Strategy Better than DCA?
- Rewards: Staking, lending and Liquidity Mining
- Staking
- Lending
- Decentralized Exchanges (DEXs)
- Impermanent Loss in Yield Farming
- Governance
- Risk Management in DeFi
- Derivatives
- Real-World Assets in Crypto
- Final Thoughts on DeFi
Plenty of useful info where you can flip to certain sections for reference or read the report in full for a 'DeFi 101'.
Nice easy to understand format which covers:
- Is DeFi Poised For a Resurgence?
- Key Highlights
- Insider Insights
- Why DeFi?
- Under & overvaluation on the Market
- Risk On or Risk Off?
- How Will Macroeconomic Events Impact DeFi?
- How Institutional Capital Controls the DeFi Market
- MACD and Other Indicators
- Does the CME have an Impact on Crypto Markets?
- Contango Bleed and Backwardation
- Risks In DeFi — Hacks
- User Experience In DeFi
- Price Oracles — an Important Part of DeFi
- Enter GameFi as Part of the DeFi Ecosystem
- Tokenomics
- Tokenomics — Types of Coins and Tokens
- Alt Cycles & Seasons
- Seasonality in DeFi
- Bitcoin as the Crypto Risk-Free Rate
- Pros & Cons Measuring Portfolio in BTC, ETH, USD
- 10 Tips to Fundamental Analysis
- DeFi Tools
- Is There A Strategy Better than DCA?
- Rewards: Staking, lending and Liquidity Mining
- Staking
- Lending
- Decentralized Exchanges (DEXs)
- Impermanent Loss in Yield Farming
- Governance
- Risk Management in DeFi
- Derivatives
- Real-World Assets in Crypto
- Final Thoughts on DeFi
ChatGPT Super Prompt Tutorial
AI is only as powerful as its prompter.
Heres how you can get the best output every time.
1. Declare the Role
Tell ChatGPT that its an expert in something, below we told it that its a world renown copywriter who has won awards
2. State the Main Task
Next, tell it what its main task should be
3. Steps to Complete Task
Identify what steps are needed to receive the output you want. This gives the AI better information to produce an output thats aligned with your vision
4. Define the Goal
What is your goal with the main task? Tell the AI so it knows how to structure the output
5. Define Constraints
Limitations so the AI output stays within your vision. Ex: The essay should be 1000 words max & written at a college level.
AI is only as powerful as its prompter.
Heres how you can get the best output every time.
1. Declare the Role
Tell ChatGPT that its an expert in something, below we told it that its a world renown copywriter who has won awards
2. State the Main Task
Next, tell it what its main task should be
3. Steps to Complete Task
Identify what steps are needed to receive the output you want. This gives the AI better information to produce an output thats aligned with your vision
4. Define the Goal
What is your goal with the main task? Tell the AI so it knows how to structure the output
5. Define Constraints
Limitations so the AI output stays within your vision. Ex: The essay should be 1000 words max & written at a college level.
👍2
⚡️Research on predicting early Parkinson'sz. Using smartwatch data, researchers were able to identify people up to seven years before their clinical diagnosis.
Using data from UK biobank, researchers retrospectively analysed the time preceding the diagnosis.
They found that people, who years after data collection got a diagnosis, already showed slowing of movement and reduced sleep quality. No other investigated disorder showed such a reduction.
Researchers trained models to identify these people from the general population.
They compared their performance to models based on genetics, blood biochemistry, lifestyle, or known prodromal symptoms, like constipation or loss of smell. Models using smartwatch data outperformed all others.
These findings highlight the potential of performing large-scale screening for Parkinson's in the general population using smart watch data. Further, identification in the early stages, could be transformative for research into neuroprotective treatments.
Using data from UK biobank, researchers retrospectively analysed the time preceding the diagnosis.
They found that people, who years after data collection got a diagnosis, already showed slowing of movement and reduced sleep quality. No other investigated disorder showed such a reduction.
Researchers trained models to identify these people from the general population.
They compared their performance to models based on genetics, blood biochemistry, lifestyle, or known prodromal symptoms, like constipation or loss of smell. Models using smartwatch data outperformed all others.
These findings highlight the potential of performing large-scale screening for Parkinson's in the general population using smart watch data. Further, identification in the early stages, could be transformative for research into neuroprotective treatments.
Nature
Wearable movement-tracking data identify Parkinson’s disease years before clinical diagnosis
Nature Medicine - UK Biobank moement tracking data show increased performance as compared to symptoms and genetic and lifestyle factors in identifying prodromal Parkinson’s disease in the...
❤4
Full body scans are quite certainly not the future of preventive medicine and there is a good reason why the medical community would agree
The future is not about measuring and analyzing every single thing in the human body and then try to find the needle in the data haystack, but to discover signs that could help either catch diseases early or prevent them from happening.
The future is not about measuring and analyzing every single thing in the human body and then try to find the needle in the data haystack, but to discover signs that could help either catch diseases early or prevent them from happening.
CNET
Full-Body AI Scans Could Be the Future of Preventive Medicine
Body scan companies say they can diagnose cancer faster and that AI can make it cheaper. But there's a gap between that dream and the medical community's reality.
The Monetary Authority of Singapore announced new regulatory requirements for Digital Payment Token Service Providers (DPTSPs), covering the segregation and custody of customer assets and the facilitation of lending and staking services.
Here’s what it means for DPTSPs:
1. Customers’ DPTs must be segregated and held on trust in a separate set of wallet addresses, while customer fiat must be held with financial institutions in Singapore. DPTSPs must conduct daily reconciliation of customers’ assets.
2. At least 90% of customer DPTs must be stored in cold wallets, lower than the 98% requirement in Hong Kong. The movement of customer assets should be controlled by senior management and personnel in Singapore, though private keys themselves need not be stored onshore.
3. MAS has opted not to mandate the use of an independent custodian for now, given the limited number of such players in the market. Instead, DPTSPs must maintain a custody function that is operationally independent from other business units.
4. DPTSPs are not permitted to facilitate the lending and staking of retail customers’ assets. They can still do so for accredited and institutional investors, subject to risk disclosure and customer consent.
5. These requirements were first discussed in MAS’ October 2022 consultation paper on DPTSP regulation, and will be formalized through guidelines and amendments to the Payment Services Regulations, with a target implementation timeline of October 2023.
6. Looking ahead, DPTSPs can also expect further requirements on consumer access, such as suitability requirements, which were considered in MAS’ October 2022 consultation paper, but not covered in this week’s announcements.
Here’s what it means for DPTSPs:
1. Customers’ DPTs must be segregated and held on trust in a separate set of wallet addresses, while customer fiat must be held with financial institutions in Singapore. DPTSPs must conduct daily reconciliation of customers’ assets.
2. At least 90% of customer DPTs must be stored in cold wallets, lower than the 98% requirement in Hong Kong. The movement of customer assets should be controlled by senior management and personnel in Singapore, though private keys themselves need not be stored onshore.
3. MAS has opted not to mandate the use of an independent custodian for now, given the limited number of such players in the market. Instead, DPTSPs must maintain a custody function that is operationally independent from other business units.
4. DPTSPs are not permitted to facilitate the lending and staking of retail customers’ assets. They can still do so for accredited and institutional investors, subject to risk disclosure and customer consent.
5. These requirements were first discussed in MAS’ October 2022 consultation paper on DPTSP regulation, and will be formalized through guidelines and amendments to the Payment Services Regulations, with a target implementation timeline of October 2023.
6. Looking ahead, DPTSPs can also expect further requirements on consumer access, such as suitability requirements, which were considered in MAS’ October 2022 consultation paper, but not covered in this week’s announcements.
Eric Schmidt: this is how AI will transform the way science gets done
Science is about to become much more exciting—and that will affect us all, argues Google's former CEO.
With the advent of AI, science is about to become much more exciting—and in some ways unrecognizable.
The reverberations of this shift will be felt far outside the lab; they will affect us all.
Reimagining science
At its core, the scientific process we all learned in elementary school will remain the same: conduct background research, identify a hypothesis, test it through experimentation, analyze the collected data, and reach a conclusion. But AI has the potential to revolutionize how each of these components looks in the future.
Eventually, much of science will be conducted at “self-driving labs”—automated robotic platforms combined with artificial intelligence. Here, we can bring AI prowess from the digital realm into the physical world. Such self-driving labs are already emerging at companies like Emerald Cloud Lab and Artificial and even at Argonne National Laboratory.
Finally, at the stage of analysis and conclusion, self-driving labs will move beyond automation and, informed by experimental results they produced, use LLMs to interpret the results and recommend the next experiment to run.
Then, as partners in the research process, the AI lab assistant could order supplies to replace those used in earlier experiments and set up and run the next recommended experiments overnight, with results ready to deliver in the morning—all while the experimenter is home sleeping.
Science is about to become much more exciting—and that will affect us all, argues Google's former CEO.
With the advent of AI, science is about to become much more exciting—and in some ways unrecognizable.
The reverberations of this shift will be felt far outside the lab; they will affect us all.
Reimagining science
At its core, the scientific process we all learned in elementary school will remain the same: conduct background research, identify a hypothesis, test it through experimentation, analyze the collected data, and reach a conclusion. But AI has the potential to revolutionize how each of these components looks in the future.
Eventually, much of science will be conducted at “self-driving labs”—automated robotic platforms combined with artificial intelligence. Here, we can bring AI prowess from the digital realm into the physical world. Such self-driving labs are already emerging at companies like Emerald Cloud Lab and Artificial and even at Argonne National Laboratory.
Finally, at the stage of analysis and conclusion, self-driving labs will move beyond automation and, informed by experimental results they produced, use LLMs to interpret the results and recommend the next experiment to run.
Then, as partners in the research process, the AI lab assistant could order supplies to replace those used in earlier experiments and set up and run the next recommended experiments overnight, with results ready to deliver in the morning—all while the experimenter is home sleeping.
MIT Technology Review
Eric Schmidt: This is how AI will transform the way science gets done
Science is about to become much more exciting—and that will affect us all, argues Google's former CEO.
Inflection AI Develops Supercomputer Equipped With 22,000 NVIDIA H100 AI GPUs
Inflection announced that it is building one of the world's largest AI-based supercomputers, and it looks like we finally have a glimpse of what it would be.
It is reported that the Inflection supercomputer is equipped with 22,000 H100 GPUs, and based on analysis, it would contain almost 700 four-node racks of Intel Xeon CPUs.
The supercomputer will utilize an astounding 31 Mega-Watts of power.
The surprising fact about the supercomputer is the acquisition of 22,000 NVIDIA H100 GPUs.
We all are well aware that, in recent times, it has been challenging to acquire even a single unit of the H100s since they are in immense demand, and NVIDIA cannot cope with the influx of orders. In the case of Inflection AI, NVIDIA is considering being an investor in the company, which is why in their case, it is easier to get their hands on such a massive number of GPUs.
According to TechCrunch, Inflection AI has raised around $1.5 billion in investments, and currently, the company is valued at $4 billion. Through this supercomputer, the AI model "Inflection 1" is expected to improve significantly, especially in coding tasks, since the company lacks behind in
Inflection announced that it is building one of the world's largest AI-based supercomputers, and it looks like we finally have a glimpse of what it would be.
It is reported that the Inflection supercomputer is equipped with 22,000 H100 GPUs, and based on analysis, it would contain almost 700 four-node racks of Intel Xeon CPUs.
The supercomputer will utilize an astounding 31 Mega-Watts of power.
The surprising fact about the supercomputer is the acquisition of 22,000 NVIDIA H100 GPUs.
We all are well aware that, in recent times, it has been challenging to acquire even a single unit of the H100s since they are in immense demand, and NVIDIA cannot cope with the influx of orders. In the case of Inflection AI, NVIDIA is considering being an investor in the company, which is why in their case, it is easier to get their hands on such a massive number of GPUs.
According to TechCrunch, Inflection AI has raised around $1.5 billion in investments, and currently, the company is valued at $4 billion. Through this supercomputer, the AI model "Inflection 1" is expected to improve significantly, especially in coding tasks, since the company lacks behind in
Wccftech
Inflection AI Develops Supercomputer Equipped With 22,000 NVIDIA H100 AI GPUs
Inflection AI, an AI startup company, has built a cutting-edge supercomputer equipped with 22,000 NVIDIA H100 GPUs.
2023_emerging_technologies_and_scientific_innovations_1688651740.pdf
3.3 MB
A global horizon scan of innovations in science and technology that could help solve global health challenges.
An expert group scored over 100 innovations for their potential impact and the chance of wide adoption within 5, 5–10 or > 10 years. They also discussed enablers that would facilitate adoption of the innovations.
An expert group scored over 100 innovations for their potential impact and the chance of wide adoption within 5, 5–10 or > 10 years. They also discussed enablers that would facilitate adoption of the innovations.
Tesla may tap TSMC to produce its full self-driving chip on 5nm process, media report, noting speculation for such a cooperation surfaced after a Tesla executive spoke at TSMC’s N. America tech symposium.
Tesla's prior FSD chip was manufactured by Samsung on 14nm, and the new one was expected to be made on Samsung 7nm.
The speculation comes after Tesla CEO Elon Musk told a crowd in Shanghai on Wednesday that Tesla is “very close to achieving full self-driving without human supervision.”
Tesla's prior FSD chip was manufactured by Samsung on 14nm, and the new one was expected to be made on Samsung 7nm.
The speculation comes after Tesla CEO Elon Musk told a crowd in Shanghai on Wednesday that Tesla is “very close to achieving full self-driving without human supervision.”
經濟日報
特斯拉 CEO 馬斯克喊實現全自駕 台積成大功臣 | 產業熱點 | 產業 | 經濟日報
特斯拉執行長馬斯克昨（6）日表示，特斯拉最快今年稍晚有望實現全自動駕駛。業界分析，特斯拉領先業界達成全自駕電動車界新里程...
Researchers at Georgia Institute of Technology, using the Blackrock Neurotech Cerebus Acquisition System, have pioneered a robust, data-driven method that classifies ongoing neural activity - the cortical states - in *real-time*.
The standout feature of this already impressive feat?
It's all unsupervised. This approach not only minimizes assumptions but also lets the data speak for itself, contributing to a broader understanding of brain processes.
By letting the data speak for itself, this research minimizes assumptions and holds the potential for far-reaching applications.
The standout feature of this already impressive feat?
It's all unsupervised. This approach not only minimizes assumptions but also lets the data speak for itself, contributing to a broader understanding of brain processes.
By letting the data speak for itself, this research minimizes assumptions and holds the potential for far-reaching applications.
bioRxiv
A Machine Learning Approach for Real-time Cortical State Estimation
Objective Cortical function is under constant modulation by internally-driven, latent variables that regulate excitability, collectively known as “cortical state”. Despite a vast literature in this area, the estimation of cortical state remains relatively…
Alibaba launches AI tool to generate images from text
Tongyi Wanxiang is Alibaba’s latest generative AI offering as tech giants in China and the U.S. look to race ahead with the technology.
Tongyi Wanxiang allows users to input prompts in Chinese and English and the AI tool will generate an image in various styles such as a sketch or 3D cartoon.
Alibaba’s cloud division, which launched the product, said it is available for enterprise customers in China for beta testing.
Tongyi Wanxiang is Alibaba’s latest generative AI offering as tech giants in China and the U.S. look to race ahead with the technology.
Tongyi Wanxiang allows users to input prompts in Chinese and English and the AI tool will generate an image in various styles such as a sketch or 3D cartoon.
Alibaba’s cloud division, which launched the product, said it is available for enterprise customers in China for beta testing.
CNBC
Alibaba launches A.I. tool to generate images from text
Chinese technology giant Alibaba on Friday launched Tongyi Wanxiang, an artificial intelligence tool that can generate images from prompts.
👍1
IDC reports worldwide revenue for the public cloud services market totaled $545.8 billion in 2022, an increase of 22.9% over 2021.
Code Interpreter Beta (rolling out to ChatGPT Plus) is quite powerful. It's your personal data analyst: can read uploaded files, execute code, generate diagrams, statistical analysis, much more. I expect it will take the community some time to fully chart its potential.
To turn on:
In ChatGPT on bottom left click on name > Settings > Beta features > turn on Code Interpreter.
To turn on:
In ChatGPT on bottom left click on name > Settings > Beta features > turn on Code Interpreter.
www.oneusefulthing.org
What AI can do with a toolbox... Getting started with Code Interpreter [Now called Advanced Data Analytics]
Democratizing data analysis with AI
Google's medical AI chatbot is already being tested in hospitals
Google’s Med-PaLM 2, an AI tool designed to answer questions about medical information, has been in testing at the Mayo Clinic research hospital, among others, since April. Med-PaLM 2 is a variant of PaLM 2, which was announced at Google I/O in May this year. PaLM 2 is the language model underpinning Google’s Bard.
Google’s Med-PaLM 2, an AI tool designed to answer questions about medical information, has been in testing at the Mayo Clinic research hospital, among others, since April. Med-PaLM 2 is a variant of PaLM 2, which was announced at Google I/O in May this year. PaLM 2 is the language model underpinning Google’s Bard.
The Verge
Google’s medical AI chatbot is already being tested in hospitals
Google says doctors prefer its answers, even if they’re less accurate.
Meta commits to dedicate three engineer-years to implement the removal of the GIL from Python and fix upcoming compatibility and performance issues with it.
All this dependent on whether the Steering Council accepts PEP 703.
This is way more impactful than it sounds.
Python executes on a single thread regardless of how many CPU cores you have. Removing the notorious GIL (Global Interpreter Lock) means that Python can finally run true concurrency.
All this dependent on whether the Steering Council accepts PEP 703.
This is way more impactful than it sounds.
Python executes on a single thread regardless of how many CPU cores you have. Removing the notorious GIL (Global Interpreter Lock) means that Python can finally run true concurrency.
Discussions on Python.org
A fast, free threading Python
I don’t think that is true. If free threading is possible, the cat will be out of the bag, even developers that only cares about single threaded work will still be affected by threading issues. If a library starts a thread in the background for whatever reason…
❤3
Metaverse_Money_Findings_on_the_U_S_Market_1688989912.pdf
1.1 MB
PayPal released a report about metaverse
The average metaverse user in the U.S. has money stored across 5 different metaverse platforms. And 79% of them have digital assets spread across more than one metaverse world.
Here are some key takeaways from a recent study on how money operates in the metaverse:
- In the U.S., 37.6 million people are already spending more than $28 billion a year in the metaverse.
- 95% of all survey respondents say it is very or somewhat important to be able to use a common currency across metaverse worlds.
- With the average metaverse user holding a median of $500 and an average of $7,335 in the metaverse, there's a clear need for greater security around money in the metaverse.
- 80% of metaverse users currently use cryptocurrency, and 56% of metaverse users expect their use of crypto to increase in the next 5 years.
- 84% of survey respondents say they're interested in at least one type of creating activity in the metaverse, with trading/selling digital goods being the most common type of income-generating activity.
- 95% of the survey sample believe creating in the metaverse would give them access to buyers they would not have in the real world.
It's time to acknowledge that the metaverse is the new business frontier.
Whether it's creating digital goods, building on the blockchain, or trading digital assets, there are countless opportunities to generate income and reach new audiences.
The average metaverse user in the U.S. has money stored across 5 different metaverse platforms. And 79% of them have digital assets spread across more than one metaverse world.
Here are some key takeaways from a recent study on how money operates in the metaverse:
- In the U.S., 37.6 million people are already spending more than $28 billion a year in the metaverse.
- 95% of all survey respondents say it is very or somewhat important to be able to use a common currency across metaverse worlds.
- With the average metaverse user holding a median of $500 and an average of $7,335 in the metaverse, there's a clear need for greater security around money in the metaverse.
- 80% of metaverse users currently use cryptocurrency, and 56% of metaverse users expect their use of crypto to increase in the next 5 years.
- 84% of survey respondents say they're interested in at least one type of creating activity in the metaverse, with trading/selling digital goods being the most common type of income-generating activity.
- 95% of the survey sample believe creating in the metaverse would give them access to buyers they would not have in the real world.
It's time to acknowledge that the metaverse is the new business frontier.
Whether it's creating digital goods, building on the blockchain, or trading digital assets, there are countless opportunities to generate income and reach new audiences.
A new device to communicate with the brain using light
Construction of a Flexible optogenetic device for multisite and multiregional optical stimulation through flexible µ-LED displays on the Cerebral Cortex
Construction of a Flexible optogenetic device for multisite and multiregional optical stimulation through flexible µ-LED displays on the Cerebral Cortex
Wiley Online Library
Construction of a Flexible Optogenetic Device for Multisite and Multiregional Optical Stimulation Through Flexible µ‐LED Displays…
A wireless fully flexible device consisting of multiple high-density μ-LED displays and flexible optical fibers for multisite and multiregional optogenetics is presented. The μ-LED displays feature a...