Ethereum’s Short-Term Market Structure Is Becoming Increasingly Tight: What Happens Next?

The post President Trump’s Critical Talks With 7 Nations Revealed appeared on BitcoinEthereumNews.com. Strait Of Hormuz Crisis: President Trump’s Critical Talks

The post Fed rate decision September 2025 appeared on BitcoinEthereumNews.com. WASHINGTON – The Federal Reserve on Wednesday approved a widely anticipated rate cut and signaled that two more are on the way before the end of the year as concerns intensified over the U.S. labor market. In an 11-to-1 vote signaling less dissent than Wall Street had anticipated, the Federal Open Market Committee lowered its benchmark overnight lending rate by a quarter percentage point. The decision puts the overnight funds rate in a range between 4.00%-4.25%. Newly-installed Governor Stephen Miran was the only policymaker voting against the quarter-point move, instead advocating for a half-point cut. Governors Michelle Bowman and Christopher Waller, looked at for possible additional dissents, both voted for the 25-basis point reduction. All were appointed by President Donald Trump, who has badgered the Fed all summer to cut not merely in its traditional quarter-point moves but to lower the fed funds rate quickly and aggressively. In the post-meeting statement, the committee again characterized economic activity as having “moderated” but added language saying that “job gains have slowed” and noted that inflation “has moved up and remains somewhat elevated.” Lower job growth and higher inflation are in conflict with the Fed’s twin goals of stable prices and full employment.  “Uncertainty about the economic outlook remains elevated” the Fed statement said. “The Committee is attentive to the risks to both sides of its dual mandate and judges that downside risks to employment have risen.” Markets showed mixed reaction to the developments, with the Dow Jones Industrial Average up more than 300 points but the S&P 500 and Nasdaq Composite posting losses. Treasury yields were modestly lower. At his post-meeting news conference, Fed Chair Jerome Powell echoed the concerns about the labor market. “The marked slowing in both the supply of and demand for workers is unusual in this less dynamic…

The post TSMC taps AI for energy-efficient chips as Qualcomm targets enterprise PCs appeared on BitcoinEthereumNews.com. TSMC rolled out a new AI-based chip design method on Wednesday in Silicon Valley, aiming to cut the power demands of AI chips by up to tenfold. The company, which manufactures chips for Nvidia and other tech giants, says this change is necessary as current systems burn too much electricity. At full load, Nvidia’s AI servers can use up to 1,200 watts, the same as keeping 1,000 U.S. homes running non-stop. That kind of energy drain isn’t sustainable, and TSMC is reportedly trying to fix it with smarter design. The approach revolves around building chips with smaller pieces called chiplets, each made with different tech, all packaged into one. But it’s not just about throwing pieces together. These new packages are being designed by AI software from firms like Cadence Design Systems and Synopsys, not by engineers alone. Cadence and Synopsys beat engineers on speed and accuracy Jim Chang, deputy director at TSMC’s 3DIC Methodology Group, showed off the results. Using Cadence and Synopsys software, chip designs that once took two days of human effort were finished by AI in five minutes. “That helps to max out TSMC technology’s capability, and we find this is very useful,” Jim said during his talk. The company sees this speed boost as key to getting more efficient chips to market faster. But not every problem can be solved with smarter code.Kaushik Veeraraghavan, an engineer at Meta’s infrastructure division, said during his keynote that the current chip manufacturing model is hitting physical walls.Moving data in and out of chips with traditional wires is slowing things down. Switching to optical connections could fix that, but right now, they’re still too unreliable for large data centers. “Really, this is not an engineering problem,” Kaushik said. “It’s a fundamental physical problem.” At the same event, Qualcomm launched…