Apple could be on track to reach a $4 trillion market capitalization with the artificial intelligence (AI) iPhone 16 upgrade cycle coming, Wedbush analysts said. The analysts said the iPhone 16 supercharged with AI could bring a "golden upgrade cycle" for Apple. Apple's recently announced iOS 18 with Apple Intelligence and OpenAI partnership are also expected to create monetization opportunities and increase share value. Apple (AAPL) could be on the path to a $4 trillion market capitalization as an iPhone upgrade cycle approaches, driven by the iPhone 16 supercharged with artificial intelligence (AI) capabilities, according to Wedbush analysts. 1 Apple's recently announced iOS 18 with Apple Intelligence and OpenAI partnership are also expected to create monetization opportunities and increase share value. AI iPhone 16 Upgrade Cycle Coming Soon Wedbush analyst said that an AI iPhone 16 could bring "a golden upgrade cycle for Cupertino looking ahead with pent-up demand building globally." "The Street is now starting to slowly recognize that with Apple Intelligence on the doorstep in essence Cupertino will be the gatekeepers of the consumer AI Revolution," they said, with 2.2 billion iOS devices globally and 1.5 billion iPhones. Wedbush suggested a "consumer AI tidal wave" could start with the iPhone 16 in mid-September, adding that estimates indicate 270 million iPhones users have not upgraded in over four years. Recovery in China To Support Upgrade Cycle The analysts indicated that iPhone supply stabilization in Asia is also "a very good sign heading into a monumental iPhone 16 upgrade cycle." Wedbush's projections come amid ongoing concerns for the iPhone maker in the China region amid increased competition, though there have been recent signs of improving shipments. They projected that June "will be the last negative growth quarter for China with a growth turnaround beginning in the September quarter," when the iPhone 16 is expected to be released. AI and iOS 18 Could Also Boost Share Value Apple unveiled iOS 18 supercharged by Apple Intelligence and an AI partnership with OpenAI at its developers' conference in June. Wedbush analysts said the partnership with the Chat-GPT maker "creates the highway for developers around the globe to focus on iOS 18 and this in turn will create a myriad of monetization opportunities for Cook & Co. over the coming years." The analysts estimated that "this could result in incremental Services high margin growth annually of $10 billion for Apple" driven by hardware and software. They added they believe "AI technology being introduced into the Apple ecosystem will bring monetization opportunities on both the services as well as iPhone/hardware front and adds $30 to $40 per share." Apple shares were little changed in early trading Monday, though they have gained more than 17% since the start of the year. Do you have a news tip for Investopedia reporters? Please email us at tips@investopedia.com SPONSORED Trade on the Go. Anywhere, Anytime One of the world's largest crypto-asset exchanges is ready for you. Enjoy competitive fees and dedicated customer support while trading securely. You'll also have access to Binance tools that make it easier than ever to view your trade history, manage auto-investments, view price charts, and make conversions with zero fees. Make an account for free and join millions of traders and investors on the global crypto market.

AIRO, July 8 (Reuters) - A new Israeli assault on Gaza on Monday threatened ceasefire talks at a crucial moment, the head of Hamas said, as Israeli tanks pressed into the heart of Gaza City and ordered residents out after a night of massive bombardment. Residents said the airstrikes and artillery barrages were among the heaviest in nine months of conflict between Israeli forces and Hamas militants in the enclave. Thousands fled. The assault unfolded as senior U.S. officials were in the region pushing for a ceasefire after Hamas made major concessions last week. The militant group said the new offensive appeared intended to derail the talks and called for mediators to rein in Israel's Prime Minister Benjamin Netanyahu. The assault "could bring the negotiation process back to square one. Netanyahu and his army will bear full responsibility for the collapse of this path," Hamas quoted leader Ismail Haniyeh as saying. Gaza City, in the north of the Palestinian enclave, was one of Israel's first targets at the start of the war in October. But clashes with militants there have persisted and civilians have sought shelter elsewhere, adding to waves of displacement. Much of the city lies in ruins. Residents said Gaza City neighbourhoods were bombed through the night into the early morning hours of Monday. Several multi-storey buildings were destroyed, they said. The Gaza Civil Emergency Service said it believed dozens of people were killed but emergency teams were unable to reach them because of ongoing offensives. Gaza residents said tanks advanced from at least three directions on Monday and reached the heart of Gaza City, backed by heavy Israeli fire from the air and ground. That forced thousands of people out of their homes to look for safer shelter, which for many was impossible to find, and some slept on the roadside.

Beijing self-driving cars on the road will usher in legislative protection. Recently, the Beijing Municipal Bureau of Economy and Information Technology solicited comments on the "Beijing Autonomous Vehicle Regulations (Draft for Comment)". The city intends to support the use of autonomous vehicles for urban public electric bus passenger transport, online car booking, car rental and other urban travel services. In addition to application scenarios, the draft for comments also standardizes autonomous driving innovation from many aspects, such as whether there is a driver, how to deal with traffic problems, and so on. The release of the opinion draft also means that the commercialization of automatic driving is accelerating, and perhaps soon we will be able to experience the convenience of automatic driving. In addition, the accelerated pace of autonomous driving, and whether it will have an impact on the taxi and traditional network car industry, it is also worth thinking about.

RS e-tron GT: Shares J1 platform with Porsche Taycan. The iconic closed hexagonal "big mouth" is quite a brand recognition, and the rear of the car uses a decorative design shaped like a diffuser. Although the difference between it and the regular e-tron GT is very limited, the "RS" nameplate on the rear of the car means that it is not an ordinary person, of course, low-key is also the style of AUD-Sport. The center console continues the family design of the Audi brand, the lines are simple and refined, and the center control screen, the front air conditioning control panel and the function keys below are obviously tilted to the driver's side, echoing the product positioning of the driver's car. Sports seats, leather fabrics with red stitches, etc. appear in the configuration table of the car, rendering the interior sports atmosphere just right, and the overall beauty of the cabin has been affirmed by the reviewers. Although the official model of the cockpit chip selected by the car has not been announced, it has a high score in the evaluation items such as the cold start speed of the car, the start speed of the core application and the navigation search speed, which shows that the car performance is good. In addition, in terms of specifications and accuracy, the car received full marks in the touch accuracy and screen sharpness evaluation, and the daily high-frequency interaction experience is excellent. Of course, if you optimize the voice car control ability, its intelligent experience will be a higher level.

Chat means chat, and GPT is the acronym for Gene Rate Pre trained Transformer. Genrative means generation, and its function is to create or produce something new; Pre trained refers to a model of artificial intelligence that is learned from a large amount of textual materials, while Transformer refers to a model of artificial intelligence. Don't worry about T, just focus on the words G and P. We mainly use its Generative function to generate various types of content; But we need to know why it can produce various types of content, and the reason lies in P. Only by learning a large amount of content can we proceed with reproduction. And this kind of learning actually has limitations, which is very natural. For example, if you have learned a lot of knowledge since childhood, can you guarantee that your answer to a question is completely correct? Almost impossible, firstly due to the limitations of knowledge, ChatGPT is no exception, as it is impossible to master all knowledge; The second is the accuracy of knowledge, how to ensure that all knowledge is accurate and error free; The third aspect is the complexity of knowledge, where the same concept is manifested differently in different contexts, making it difficult for even humans to grasp it perfectly, let alone AI. So when we use ChatGPT, we also need to monitor the accuracy of the output content of ChatGPT. It is likely not a problem, but if you want to use it on critical issues, you will need to manually review it again. And now ChatGPT has actually been upgraded twice, one is GPT4 with more accurate answering ability, and the other is the recent GPT Turbo. The current ChatGPT is a large model called multimodality, which differs from the first generation in that it can not only receive and output text, but also other types of input, such as images, documents, videos, etc. The output is also more diverse. In addition to text, it can also output images or files, and so on.