In 2012, the best language models were small recurrent networks that struggled to form coherent sentences. Fast forward to today, and large language models like GPT-4 outperform most students on the SAT. How has this rapid progress been possible?In 2012, the best language models were small recurrent networks that struggled to form coherent sentences. Fast forward to today, and large language models like GPT-4 outperform most students on the SAT. How has this rapid progress been possible?[#item_full_content]

In 2012, the best language models were small recurrent networks that struggled to form coherent sentences. Fast forward to today, and large language models like GPT-4 outperform most students on the SAT. How has this rapid progress been possible?In 2012, the best language models were small recurrent networks that struggled to form coherent sentences. Fast forward to today, and large language models like GPT-4 outperform most students on the SAT. How has this rapid progress been possible?Computer Sciences[#item_full_content]

The integration of electronic chips in commercial devices has significantly evolved over the past decades, with engineers devising various integration strategies and solutions. Initially, computers contained a central processor or central processing unit (CPU), connected to memory units and other components via traditional communication pathways, known as front-side-bus (FSB) interfaces.The integration of electronic chips in commercial devices has significantly evolved over the past decades, with engineers devising various integration strategies and solutions. Initially, computers contained a central processor or central processing unit (CPU), connected to memory units and other components via traditional communication pathways, known as front-side-bus (FSB) interfaces.[#item_full_content]

As emerging urban air mobility concepts such as air taxis, on-demand aircraft, and large unmanned aerial vehicles become integrated into daily life, ensuring their smooth interaction with existing conventional airport infrastructures is imperative for achieving a sustainable civil aviation industry.As emerging urban air mobility concepts such as air taxis, on-demand aircraft, and large unmanned aerial vehicles become integrated into daily life, ensuring their smooth interaction with existing conventional airport infrastructures is imperative for achieving a sustainable civil aviation industry.Automotive[#item_full_content]

Imagine performing a sweep around an object with your smartphone and getting a realistic, fully editable 3D model that you can view from any angle. This is fast becoming reality, thanks to advances in AI.Imagine performing a sweep around an object with your smartphone and getting a realistic, fully editable 3D model that you can view from any angle. This is fast becoming reality, thanks to advances in AI.Hi Tech & Innovation[#item_full_content]

How do you know you are looking at a dog? What are the odds you are right? If you’re a machine-learning algorithm, you sift through thousands of images—and millions of probabilities—to arrive at the “true” answer, but different algorithms take different routes to get there.How do you know you are looking at a dog? What are the odds you are right? If you’re a machine-learning algorithm, you sift through thousands of images—and millions of probabilities—to arrive at the “true” answer, but different algorithms take different routes to get there.Machine learning & AI[#item_full_content]

Southwest Research Institute has developed off-road autonomous driving tools with a focus on stealth for the military and agility for space and agriculture clients. The vision-based system pairs stereo cameras with novel algorithms, eliminating the need for lidar and active sensors.Southwest Research Institute has developed off-road autonomous driving tools with a focus on stealth for the military and agility for space and agriculture clients. The vision-based system pairs stereo cameras with novel algorithms, eliminating the need for lidar and active sensors.Automotive[#item_full_content]

Bike friendliness of a cycle path depends to a large extent on the surface quality. This allows people who use bicycles for work-related reasons or to complete daily errands and want to keep bike-commuting climate-neutral to perform their tasks faster and in a more pleasant way.Bike friendliness of a cycle path depends to a large extent on the surface quality. This allows people who use bicycles for work-related reasons or to complete daily errands and want to keep bike-commuting climate-neutral to perform their tasks faster and in a more pleasant way.Automotive[#item_full_content]

Image classification is a complex task that deep learning architectures perform successfully. Those deep architectures are usually comprised of many layers, with each layer consisting of many filters.Image classification is a complex task that deep learning architectures perform successfully. Those deep architectures are usually comprised of many layers, with each layer consisting of many filters.[#item_full_content]

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