Advance
Major Quantum Computing Advance Made Obsolete by Teenager | Quanta Magazine
A teenager from Texas has taken quantum computing down a notch. In a paper posted online earlier this month, 18-year-old Ewin Tang proved that ordinary computers can solve an important computing problem with performance potentially comparable to that of a quantum computer. In its most practical form, the “recommendation problem” relates to how services like…
Celebrating an academic-industry collaboration to advance vehicle technology
On May 6, MIT AgeLab’s Advanced Vehicle Technology (AVT) Consortium, part of the MIT Center for Transportation and Logistics, celebrated 10 years of its global academic-industry collaboration. AVT was founded with the aim of developing new data that contribute to automotive manufacturers, suppliers, and insurers’ real-world understanding of how drivers use and respond to increasingly…
A Notable Advance in Human-Driven AI Video
Note: The project page for this work includes 33 autoplaying high-res videos totaling half a gigabyte, which destabilized my system on load. For this reason, I won’t link to it directly. Readers can find the URL in the paper’s abstract or PDF if they choose. One of the primary objectives in current video synthesis research…
The 10 Best Game Boy Advance & Nintendo DS Games on Nintendo Switch – SwitchArcade Special – TouchArcade
In the latest look at retro game offerings on the Nintendo Switch, I’ve opted to take a different approach. You see, there aren’t quite so many distinct Game Boy Advance and Nintendo DS ports on the Switch as some other consoles. I know, it surprised me too! So they’re going to be sharing a list,…
Can AI Models Scale Knowledge Storage Efficiently? Meta Researchers Advance Memory Layer Capabilities at Scale
The field of neural network architectures has witnessed rapid advancements as researchers explore innovative ways to enhance computational efficiency while maintaining or improving model performance. Traditional dense networks rely heavily on computationally expensive matrix operations to encode and store information. This reliance poses challenges when scaling these models for real-world applications that demand extensive knowledge…