🚨 André Onana returns to Manchester United and current plan is to join pre-season under Michael Carrick.
Understand Trabzonspor are still keen on keeping Onana and would like to discuss another loan deal, valid until June 2027. 🇹🇷
Talks will follow with #MUFC and Onana’s camp.
Introducing the newest Coral board, for efficient, on-device AI!
Check out the demos in the video:
- On-board speech translation
- Natural language controlling hardware
- Vision & sound generating music
Fakhr al-Dīn al-Rāzī states very clearly in his Sharḥ al-Ishārāt that the contingency argument is the superior route to proving God’s existence, since it begins from existence, possibility, and necessity rather than from the created world. Thanks to Wahid Amin for pointing this passage out to me earlier today.
H. C. Ye, C. Mao, and Z. X. Yang present a differentially fed broadband dual-polarized millimeter-wave (mm-wave) antenna with improved cross-polarization discrimination (XPD) for wide-angle beam-scanning phased array applications.
Read it at: https://t.co/kmzPbzp30z
@predict_addict Englighten me by your take on "pure-play"? probably they measure "large" slightly differently? too many french defense giants and startups to mention here, apart from their CNRS network
Terence Tao says the math behind today’s LLMs is actually simple. Training and running them mostly uses linear algebra, matrix multiplication, and a bit of calculus, material an undergraduate can handle. We understand how to build and operate these models.
The real mystery is why they work so well on some tasks and fail on others, and why we cannot predict that in advance. We lack good rules for forecasting performance across tasks, so progress is largely empirical.
A key reason is the nature of real-world data. Pure noise is well understood, perfectly structured data is well understood, but natural text sits in between, partly structured and partly random. Mathematics for that middle regime is thin, similar to how physics struggles at meso-scales between atoms and continua.
Because of this gap, we can describe the mechanisms but cannot yet explain capability jumps or give reliable task-level predictions. That mismatch, simple machinery versus hard-to-predict behavior, is the core puzzle.
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Video from 'Dr Brian Keating' YT Channel (Link in comment)
As it is the 40th Anniversary of Top Gun, I have written up my recreation of the Central Air Data Computer which was the first microprocessor.
Although it was classified until 1998, this 20 bit architecture provided much of the information needed by the pilot and controlled the iconic swing wings.
https://t.co/s6SOwVv18H
Our latest paper from @arenaphysica introduces a diffusion model that generates high-resolution manufacturable two-layer RF designs with vias from target S-parameters, leveraging Heaviside, our EM simulation model, for closed-loop verification. We fabricated two RF filters on RO4003C, a hairpin re-design at 17 GHz and a combline bandpass filter at 9.5 GHz designed from scratch, with both passbands landing within 2% of target on the first fab.
This is an early proof point and milestone in our pursuit of electromagnetic superintelligence. can't wait to share more of what the team's cooking up.
Read the full paper on arXiv: https://t.co/fbINtxbiZ0