![]() ![]() > Null 70-150Hz - this is an awfully wide null. That's only 1dB more than the industry standard of +-3dB range. An actual instrument note of D and D sharp and corresponding frequencies of 293 and 311Hz are affected by this null BUT they appear to be -4dB down from what looks like an 80dB average level. > Null at 300Hz - this may not be as ominous as it looks. This is where Audiolense shines in using impulse response to time align everything! Is the sub closer to you than the mains or are the mains closer in which case they may need delaying. > Sub timing based on distance alone is likely not accurate due to group delay caused by the sub's electronics. Try changing the toe-in (or is it tow-in?) amount. > your high freq roll off may be a result of speaker toe-in. Can you please confirm that the chart is without Audiolense FIR filter correction? Thanks for sharing your REW freq response chart. music signal+freq response corrections+time domain corrections) to the DAC where its processed and then spits out 6 channels to my biamped mains and pair of subs Then a USB connection takes 6 parallel channels of info (e.g. I map the JRiver channels to the AL ones, turn off JRiver when taking AL measurements and then use JRiver to invoke the AL created FIR filter within the JRiver DSP area of the software - dirt easy. In my case I run a HP Laptop as my music server that also has on it both JRIver and Audiolense. I think you will find that most of us (I'm guessing here) use multi-channel DACs with either software like JRiver or ROON etc (or multi-channel miniDSP models) that can also handle multiple channels independently for freq and time domain corrections. ![]() This is a sub optimal approach in my opinion unless you have REW or some other tool to help get you the delay times you require. You can keep the subs on with the monitors and measure each channel separately but you'd have to do the sub timing outside of Audiolense and have it ready to go before taking a AL measurement. We set specific goals and markers in that regard,” Papermaster said.You are realizing the constraint of having multiple sound sources but only two channels to do measurements and corrections via Audiolense. “We’ve really optimized that and we’re trying to look at really, understand with our customers, the workloads to fine-tune these, and not only provide competition but as I said, I really think about sustainability. According to Mark Papermaster, executive vice president and CTO of AMD, the competition is spurring innovation. battlefields, with chipmakers at the center of the action. Hardware has been among the most fiercely competitive A.I. The competition extends beyond the makers of large language models and the existing businesses they threaten to replace. It’s still early, but “there are puts and takes, there are offsets and we have to sort of see how all that plays out,” Moskowitz said in reference to which industry, people or companies could be knocked out by generative A.I. can unlock, I think that’s at least somewhat problematic for RPA (robotic process automation),” said Gregg Moskowitz, a senior enterprise software equity research analyst at Mizuho Americas. “When you think about the automation and the productivity benefits that Gen A.I. products, such as OpenAI, Adobe, and Microsoft, Brenner has managed to carve out a niche. Despite the crowded field of giant vendors selling A.I. Brenner’s startup helps other companies build generative A.I. It increased the company’s customer retention and brought them new customers, Singh said.įor filipando.ai CEO and founder Maia Brenner, helping A.I.-curious companies “walk, not run” has been the key to success. She pointed to an insurance group that used Credo to create an impact report detailing how to prevent racial discrimination in life insurance policy offerings. It’s becoming actually a critical component of businesses,” said Navrina Singh, the founder and CEO of Credo AI, which performs risk and governance analysis of A.I. “Responsible A.I.is not just like an ‘Oh, a nice to have’ thing. One common refrain was the importance of using the technology responsibly and competitively. Executives and researchers from Mizuho Americas, AMD, flipando.ai and Credo AI sat down to talk about what advice they have for companies, as well as the success stories and risks they’ve witnessed in the early days of generative A.I., during a special panel at Fortune Brainstorm Tech this week. ![]()
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