Google unveils TurboQuant, a new AI memory compression algorithm — and yes, the internet is calling it ‘Pied Piper’

Google’s TurboQuant has the internet joking about Pied Piper from HBO's "Silicon Valley." The compression algorithm promises ...
Rochester Institute of Technology

RIT launches hands-on Bachelor of Science degree in artificial intelligence

Rochester Institute of Technology is now offering a Bachelor of Science degree in artificial intelligence. The BS in AI ...

Google’s TurboQuant AI-compression algorithm can reduce LLM memory usage by 6x

Google Research recently revealed TurboQuant, a compression algorithm that reduces the memory footprint of large language ...
TechAnnouncer

Exploring the Landscape of Quantum Programming Languages in 2026

Quantum computing is moving fast, and by 2026, knowing about quantum programming languages will be a big deal. It’s not just ...

Sir Tony Hoare, software designer who developed Quicksort, the industry standard for sorting lists

Sir Tony Hoare, who has died aged 92, was a leading figure in computer software design best known for developing a leading ...

Dr. Barbara Johnson, architect of Computer Science program at MC, to retire at semester’s end

As a young art major at Viterbo University in La Crosse, Wisconsin, Dr. Barbara Johnson once stood before blank canvases ...
MIT Technology Review

Can quantum computers now solve health care problems? We’ll soon find out.

After 30 months of fast-paced innovation in quantum algorithms, six research groups are hoping to hit paydirt. But there can ...
IEEE

Constraint Programming Based Model and Algorithm for Solving Steelmaking and Continuous Casting Scheduling Problem with Adjustable Casting Time

Abstract: The Steelmaking-Continuous Casting (SCC) scheduling problem is usually regarded as a type of hybrid flow-shop scheduling problems (HFSP) with special process constraints. To research the SCC ...
IEEE

Multiobjective Dynamic Flexible Job Shop Scheduling With Biased Objectives via Multitask Genetic Programming

Abstract: Dynamic flexible job shop scheduling is an important combinatorial optimization problem that has rich real-world applications such as product processing in manufacturing. Genetic programming ...