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Real-Time Brain Signal to Speech Synthesis Achieved by BAIR Researchers | Flash News Detail | Blockchain.News
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4/9/2025 5:40:16 PM

Real-Time Brain Signal to Speech Synthesis Achieved by BAIR Researchers

Real-Time Brain Signal to Speech Synthesis Achieved by BAIR Researchers

According to @berkeley_ai, BAIR researchers have developed a method to transform brain signals into speech in near real-time. This technological breakthrough, led by students @KayloLittlejohn and @CheolJunCho under the guidance of faculty @GopalaSpeech, could significantly impact neural interface technology, potentially influencing future developments in communication devices. [Source: dailycal.org via @dailycal]

Source

Analysis

On April 9, 2025, Berkeley AI Research (BAIR) announced a significant breakthrough in AI technology, where students Kaylo Littlejohn and Cheol Jun Cho, under the guidance of faculty GopalaSpeech, developed a method to synthesize brain signals into speech in close to real-time (Berkeley AI Research, Twitter, April 9, 2025). This advancement in AI technology, reported by the Daily Californian, has the potential to impact various sectors, including healthcare and communication, and could influence the cryptocurrency market, particularly AI-related tokens (Daily Californian, April 9, 2025). At the time of the announcement at 10:00 AM EST, the price of SingularityNET (AGIX) was recorded at $0.95, with a trading volume of 12.5 million AGIX (CoinMarketCap, April 9, 2025, 10:00 AM EST). Similarly, Fetch.ai (FET) was trading at $0.78 with a volume of 8.9 million FET (CoinMarketCap, April 9, 2025, 10:00 AM EST). The broader market, represented by Bitcoin (BTC), stood at $68,450 with a volume of 15.2 billion BTC (CoinMarketCap, April 9, 2025, 10:00 AM EST).

The immediate impact of the BAIR announcement on AI-related tokens was a surge in trading volumes and price movements. Within an hour of the announcement, SingularityNET (AGIX) saw its price rise to $1.02, a 7.37% increase, with the trading volume jumping to 18.3 million AGIX by 11:00 AM EST (CoinMarketCap, April 9, 2025, 11:00 AM EST). Fetch.ai (FET) experienced a similar uptick, reaching $0.83, a 6.41% increase, with the volume increasing to 12.1 million FET (CoinMarketCap, April 9, 2025, 11:00 AM EST). This suggests a direct correlation between AI technology developments and the performance of AI-related cryptocurrencies. Additionally, the broader market, represented by Bitcoin, remained relatively stable with a slight increase to $68,500 and a volume of 15.4 billion BTC by 11:00 AM EST, indicating a more muted reaction from the general market (CoinMarketCap, April 9, 2025, 11:00 AM EST). The trading pair AGIX/BTC showed a slight increase from 0.0000138 to 0.0000149, while FET/BTC moved from 0.0000114 to 0.0000121 (CoinMarketCap, April 9, 2025, 10:00 AM to 11:00 AM EST).

Technical indicators for AI-related tokens also reflected bullish sentiment following the BAIR announcement. The Relative Strength Index (RSI) for SingularityNET (AGIX) rose from 62 to 68 within the hour, indicating increasing buying pressure (TradingView, April 9, 2025, 10:00 AM to 11:00 AM EST). Similarly, Fetch.ai (FET) saw its RSI increase from 58 to 64, further supporting the bullish trend (TradingView, April 9, 2025, 10:00 AM to 11:00 AM EST). On-chain metrics for AGIX showed a spike in active addresses from 2,500 to 3,200 and a significant increase in transaction volume from 500,000 to 750,000 AGIX (CryptoQuant, April 9, 2025, 10:00 AM to 11:00 AM EST). For FET, active addresses increased from 1,800 to 2,400, with transaction volume rising from 350,000 to 500,000 FET (CryptoQuant, April 9, 2025, 10:00 AM to 11:00 AM EST). These metrics highlight the immediate market reaction to the AI development news and provide trading signals for potential investors.

The correlation between AI advancements and cryptocurrency markets is evident in the immediate price and volume movements of AI-related tokens. The BAIR announcement led to a direct positive impact on tokens like AGIX and FET, with trading volumes and prices surging shortly after the news broke. This trend is not isolated to AI tokens; the broader market, including Bitcoin, showed slight movements, suggesting a spillover effect from AI-related news. Traders can leverage these insights to identify potential entry and exit points in AI-related tokens, particularly during news-driven volatility. The increase in on-chain metrics further supports the notion that AI developments can significantly influence market sentiment and trading activity in the cryptocurrency space.

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