One of the biggest reasons for why websites with lots of images and video content can load so slowly is because of the sizes of those media files. JPEGs are particularly irritating in this regard because they are so widely used. Now, Google is making a few changes that are meant to address this issue, which could potentially help websites load faster.
The new development is thanks to an algorithm called Guetzli, which directly relates to JPEG file sizes, Ars Technica reports. This open source platform can reportedly shrink the file sizes of the media type by up to 35% without losing its integrity or quality. Considering just how much processing power this saves, it can provide a considerable boost to the loading times of pages containing JPEG images.
Along with reducing the sizes of an existing file, the algorithm can also be used to enlarge files while keeping their sizes the same. It’s an undeniably useful feature that is just dying to be used by the internet as a whole, which users would likely agree it should be.
As to how it actually manages to do this, it would appear that the secret lies with organizing large batches of data in order to make compression much easier. It’s what the researchers call quantization and with the help of a psychovisual model called Butteraugli, it becomes easier to identify which colors and details are worth keeping or scrapping.
With regards to the speed boost of website loading time that users will see, it can be difficult to tell without actually making comprehensive tests. However, it’s practically guaranteed that mobile users who have limits on their data plans will see a dip in their consumption if they are fond of browsing data-demanding sites on their devices, BGR reports. As with the internet loading speed, the amount saved is likely to vary.


DeepSeek Slashes AI Model Pricing to Boost Adoption and Challenge Global Rivals
Microsoft Commits $18 Billion to Expand AI and Cloud Infrastructure in Australia
Lightelligence IPO Soars Over 400% in Hong Kong Debut Amid Rising AI Investment Demand
Tesla Earnings Beat Expectations as EV Growth Holds Amid Robotics and AI Shift
$16B Michigan Data Center Project Boosts U.S. AI Infrastructure Expansion
Samsung Reports Record Profit as AI Boom Drives Memory Chip Demand
U.S. Raises Alarm Over Chinese AI Firms’ Alleged IP Theft Through Model Distillation
Taiwan Court Fines Tokyo Electron Unit $4.78M in Major TSMC Trade Secrets Case
Qualcomm Stock Surges Despite Weak Guidance After Q2 2026 Earnings Beat
DeepSeek V4 Launch Signals China’s Growing AI Independence with Huawei Chips
Amazon Stock Dips Despite Record Earnings as AI Infrastructure Spending Surges
Intel Stock Surges as AI Chip Demand Drives Strong Q2 Forecast
SMC Corp Stock Surges as Palliser Capital Pushes for Major Share Buyback
Google Secures Pentagon AI Deal for Classified Projects
Alphabet Earnings Surge on AI Growth, Cloud Revenue, and Strong Search Performance
Advantest Stock Falls on Weak Outlook Despite Strong AI-Driven Results 



