
Its platform is mobile-first, and its app has been downloaded more than 500 million times across all devices.ĭuolingo places a gamified, interactive, and social education experience right at the user's fingertips, making them feel a long way from the classroom. Duolingo was founded in 2011 to deliver a new type of language learning experience for that market by using technology, and it quickly rocketed to the top of the industry. It is estimated that 2 billion people worldwide are trying to learn a foreign language. Duolingo is using OpenAI to change language education forever That feels like a great opportunity for investors given the growing importance of the chip sector.Ģ. That means the stock would have to more than double in the coming years just to trade in line with the Nasdaq-100 technology index, which trades at a P/E of 25 right now. Given Cohu stock trades at $37 right now, its forward price-to-earnings (P/E) ratio is just 9.2 based on the above forecast. But its eye is on the long term, and over the next three to five years, management believes the company will generate $1 billion in annual sales (on average) with $4 in earnings per share, which would mark a convincing return to growth. The company saw both its revenue and its earnings contract. For context, the average human hair is about 70 micrometers thick.Ĭohu had a tough year in 2022 as the semiconductor sector took a breather.

The company uses infrared scanning in the inspection process, and its proprietary AI algorithms can tell the difference between a structural crack or a harmless scratch - even if those defects are as small as five micrometers. As chips shrink with each generation to find use inside increasingly smaller devices or as sensors inside vehicles, it becomes increasingly difficult to inspect the chips for defects without slowing down the fabrication process.Ĭohu has systems in its portfolio that can autonomously inspect chips of almost any size at scale without compromising speed. Cohu doesn't produce any chips itself, but the testing and handling equipment it makes is key to the manufacturing process. Companies are calling upon chipmakers to push the boundaries of innovation, as technologies like AI require a substantial amount of computing power to run.
