Next Generation Internet: Brain-Machine Surfing, Human-Machine On-Chain š§
AI is currently thriving, yet there are not many breakthroughs on the technical front. Applications led by LLM interactive window robots are blooming, but the AI field has entered a stage of large-scale engineering and commercial expansion, while theoretically it has reached a stagnation bottleneck. Future assets and innovation hotspots will inevitably move towards brain-machine interfaces, alternative materials for new energy, and the space economy.
A Brain-Computer Interface (BCI) is a technology that enables direct interaction between the human brain and computers or other external devices by recording and decoding brain activity. Its core goal is to provide communication and control capabilities for patients with motor function disorders, while also extending to applications for healthy individuals (such as game control, attention monitoring, etc.).
Core Components of BCI:
š§ Signal Acquisition Invasive: Implanting electrodes through surgery (such as microelectrode arrays, ECoG), providing high signal quality but with infection risks. Non-invasive: EEG (Electroencephalography): Records electrical activity through scalp electrodes, low cost but poor spatial resolution. MEG (Magnetoencephalography): Records magnetic field signals, high resolution but expensive equipment. fMRI (Functional Magnetic Resonance Imaging): Indirectly measures neural activity through blood oxygen level-dependent (BOLD) signals. fNIRS (Functional Near-Infrared Spectroscopy): Detects blood oxygen changes using light signals, portable but low temporal resolution.
š§ Signal Types Event-Related Potentials (ERP): Such as P300 (a positive wave appearing after 300ms), used for spelling systems. Sensory Evoked Potentials: Such as Visual Evoked Potentials (VEP), Auditory Evoked Potentials (AEP). Sensorimotor Rhythm (SMR): Generated by imagining limb movements, used for controlling prosthetics or cursors.
š§ Signal Processing Feature Extraction: Removing noise and extracting useful information, common methods include: Common Spatial Pattern (CSP): Maximizing the variance difference between two types of signals (see formula below). Independent Component Analysis (ICA): Separating signal sources and removing artifacts (such as blink interference). Wavelet Transform (WT): Extracting time-frequency features. Classification Algorithms: Mapping features to control commands, common methods include: Support Vector Machines (SVM): Separating different categories through hyperplanes. Neural Networks (NN): Such as Multilayer Perceptron (MLP), Convolutional Neural Networks (CNN). Fuzzy Inference Systems (FIS): Handling uncertain signals.
Future Research Directions 1. Develop low-cost, high-resolution non-invasive devices (such as low-density EEG); 2. Combine high-performance deep learning algorithms (such as LSTM, Transformer) to improve classification accuracy. 3. Optimize real-time signal processing algorithms to reduce latency; 4. Expand application scenarios (such as emotion recognition, virtual reality control).
Decoding Memory š§ š: Astrocytes work with neurons via calcium signaling to potentially encode and modulate memory. This mechanism may explain how the brain stores vast data. Interesting to see @Biosynq_ai focusing on astrocytes, studying their role in information processing
Twitter information flow push now only refreshes specific lists. Except for $BTC#Fartcoin$stonks $pythia šš§ , all other positions in the cryptocurrency circle are tethered or liquidated
https://x.com/i/lists/1885776892550427079
I accidentally saw this š US stock RWA article, which is well written. I will gradually do US stock investment research in the future and prepare to start. Stocks must be quantitatively studied, but quantitative trading must be cautious, and they can't beat high-frequency ones
Today I heard that friends who had previously achieved some results with other AI DeSci projects at $trump have already lost everything and exited the circle from this year's New Year to now, with an average overall return of about 2.6MU in the first 2 years.
Attacking is easy, defending is hard.
What you can hold onto is truly yours.
Everyone's financial fortune timeline is different; be your own best friend and your own opponent.
Trading and speculation are destined to be a lonely journey of self-cultivation š§ š
The three most promising Jiachen assets currently:
#fartcoin šØ AIAgent $stonks š± RWA $pythia š§ DeSci AI
Here, the $stonks community is the strongest, with nearly ten thousand fomo messages every day. $pythia's consensus is recovering since I established the DAO in early April, the pool currently has 3MU, with a daily online rate of 15%, and we need to continue learning from the amazing project communities @FartCoinOfSOL @BTCBruce1 @MyStonks_Org
The mathematization of formal logic has only been around for a thousand years, and it really can't compare to the thousands of years of dialectical logic's religious mysticismš§
There are many high-traffic fortune-telling posts online, but many people still don't believe, for three reasons:
1. Age < 40, insufficient experience 2. Age < 40, no political or business experience in the family 3. Doing good > doing evil, not creating karma that disrupts fortune, if fortune is good then subjective initiative is overestimated
Everyone's capacity for bearing benefits, rights, and fame varies, as does their timeline
Doing fewer evil deeds creates blessings, time is leverage.
MIT š§ @ZimingLiu11 Team's New Work: Many aspects of large model training can be analytically understood through basic thermodynamic concepts. Large neural networks share astonishing similarities with thermodynamic systems; both involve a large number of degrees of freedom and exhibit stochastic dynamic characteristics. The learning rate of neural networks mainly serves three functions during training: controlling temperature, controlling entropy force, and controlling time scale
Will AI replace humans? Brain-computer interfaces š§ are realizing another possibility: allowing carbon-based life to coexist and integrate with silicon-based civilization.
In the cryptocurrency world, Huashang has the most impressive average trading, though they talk a lot, they have a vision and take responsibility for their gains and losses. They are familiar with Japan and passionate about Korea.
Among foreigners, especially in North America, there are indeed many fools š , but it is polarized; those who are capable are truly exceptional.
A common trait in Europe is hypocrisy and a desire to maintain appearances; they don't like to confront directly but enjoy gossiping behind backs. The average quality is relatively high and polite.
Similar to other business fields, the poor resort to cunning schemes, while the rich maintain a conscience š§ š.
.@gmgnai How do you all feel about this update? I spent 5 minutes and couldn't find the previous entry for on-chain behavioral analysis. DEX aggregators should highlight the data enhancement advantages of analytics. The API for candlestick charts is basically TradeView, and this sub-view section takes up so much space that it actually makes it difficult to promote clicks and trading frequency. The original on-chain behavioral visualization tracking feature was very interesting, and it must be a source of user stickiness. Has there been any heatmap analysis of the interface? Was this update just a spur-of-the-moment decision? Where exactly is the entry for the on-chain behavioral tracking feature now?
Today, @MyStonks_Org's community had a brother who enlightened me. $STONKS reached 50M dollars in its first custody. #DeSci has to take money from our pockets for research, the difference is clear.
As a scholar, I really don't need to give money to my peers. Having been in this circle for a long time, I have also picked up some common shortcomings of the circle: having a high opinion of oneself, being petty, and being paranoid, which I need to reflect on, because it's the paranoia that leads to losses.
Aside from Brother B @BTCBruce1, Sister Yang @Arya_web3, the host @thecryptoskanda, and Teacher Ye @YekaiMeta, who else is an expert in the RWA field?
(Those who play with coins or write articles do not count; they need to be able to connect with buyers and sellers, such as: family-owned enterprises, listed companies, investment banks and brokerages, hedge funds, mutual funds, and old money family offices.)
$Pythia has been listed on Binance alpha, $Pythia DAO is hosting a Texas Hold'em tournament with no ticket restrictions. Click the link below to register, total prize pool of 2000 $USDT
š„1st: 600 U š„2nd: 300 U š„3rd: 100 U š4-10th: 50 U š11-30th: 30 U š31-50th: 10 U š51-80th: 5 U
Recently, I broke through one of the world's cutting-edge 125 scientific questions published by Science: "How can we measure interface phenomena on the microscopic level?"
The measurement and quantitative modeling of interface phenomena at the microscopic scale is significant because: human control over tangible substances has improved to a higher precision, along with systematic predictive capabilities.
What are the 125 cutting-edge scientific questions in the world? š
English Area #DeSci The consensus radiation has almost reached its limit, returning to Chinese. #AI is already a universal tool, and has lost its value in generating scientific questions; theoretically, there are not many exploration points left. What urgently needs to be addressed is multi-body collaborative optimization, physical world perception, and PDE coupled simulation.
In 2019, I used GAN to create El Greco style abstract art that was auctioned off. Now, after 6 years, I only feel that the interaction method has transitioned from scripts to prompts, faster and more automated.
Login to explore more contents
Explore the latest crypto news
ā”ļø Be a part of the latests discussions in crypto