Synopsys Q2 FY2026 Earnings Beat Driven by AI and Semiconductor Demand 
SK Hynix Joins $1 Trillion Club as AI Chip Demand Fuels Stock Surge 
SpaceX IPO Hype Raises Questions as Many Major Stock Debuts Underperform Market 
PDG Explores $1 Billion Sale of China Data Center Assets 
Dell Raises 2027 Revenue Forecast as AI Server Demand Drives Record Quarterly Results 
Huawei Chip Breakthrough Sparks Rally in Chinese Semiconductor Stocks 
Elon Musk Explores Possible Tesla-SpaceX Merger Amid Growing AI Investments 
Kentucky School District Secures $27 Million in Social Media Addiction Lawsuit Settlements 
Xiaomi Shares Drop After Weak Q1 Earnings Amid Rising Smartphone Costs 
Autodesk Beats Q1 Estimates, Acquires MaintainX for $3.6 Billion 
Samsung Union Dispute Escalates Over Semiconductor Bonus Vote 
Samsung Workers Approve Wage Deal, Avoiding Major Strike and Boosting Chip Supply Confidence 
Meta AI Push Could Add $26 Billion in Revenue by 2027, Wolfe Research Says 
Snowflake Stock Soars 30% After Q1 Earnings Beat and Major AWS AI Partnership 
Marvell Stock Rises After Record Q1 FY2027 Earnings Fueled by AI Demand 
Salesforce Q1 FY2027 Earnings Beat Expectations Despite Soft Q2 Revenue Outlook 
SpaceX Starship V3 Test Flight Boosts IPO Momentum Ahead of Historic Market Debut 
The use of artificial intelligence extends to fixing photos where subjects, by accident, have their eyes closed, and a Facebook research aims to introduce a program that can produce realistic results.
Facebook engineers Brian Dolhansky and Cristian Canton Ferrer explain in a paper how an AI-powered program can help reconstruct a photo specifically with subjects who accidentally blinked at the same the image was captured.
The base of the study references the use of Generative Adversarial Networks (GANs), which is practically a deep machine learning network that can produce images of various subjects, such as a human face, even from scratch. So the process of in-painting — or filling in lost segments of an image — should be an easier task for this program.
The Facebook engineers’ study is focused on introducing a program variant they call the Exemplar GANs (ExGANs), where the machine uses extra or “exemplar” information that “corresponds directly to some identifying traits of the entity of interest.”
“We propose a general framework for incorporating this extra exemplar information. As a direct application, we show that using guided examples when training GANs to perform eye in-painting produces photo-realistic, identity-preserving results,” the researchers further explain.
Meanwhile, while the research seems promising, this is not the first time that the same concept of fixing blinking selfies has been offered to photo-loving people. Peta Pixel noted that the Adobe Photoshop Elements 2018 introduced a function called “Open Eyes,” which practically copies the subject’s eye from another image where they are not blinking.
However, as the Facebook engineers show in the paper, ExGAN-generated photos are far more accurate and realistic-looking than the results they got from Adobe’s Open Eyes.
This technology, considering its demonstrated accuracy, is promising. However, there are some questions of whether or not Facebook will actually add this as a feature to the social media platform. The Verge pointed out that an AI that deliberately alters a person’s photo might be against Facebook's goals of letting people express their true selves.
