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AI’s Revolutionary Effects on Startups’ Patent Analysis

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AI's Revolutionary Effects on Startups' Patent Analysis

Every startup is eager to introduce the world to its next big idea. Additionally, it’s always a good idea to file for a patent in order to protect their concept from being copied or corrupted. Since patents are by definition unique, entrepreneurs must be absolutely convinced that their concept is unique before applying for one. This can be achieved by performing an exhaustive patent search beforehand. Since speed and accuracy are critical, AI has a strong case to accelerate the patent search process for startups.

The Value of Searching for and Analyzing Patents

  • One useful method for learning about market trends is to study the patent applications that are currently pending. If a single product category has several patents, it may be a competitive market meeting different consumer requirements in that industry. Finding potential technological gaps and uncharted territory is another benefit of conducting a search and analysis of patents. For example, the firm may discover that while their initial concept has been investigated, there is a chance to safeguard and market a complementary product that would appeal to the same customer base.
  • Startups can save time and money by performing a preliminary patent search to make sure that (a) their idea is not already patented or a commercial product, or (b) it does not fall under a class of products that is not eligible for patent protection. They will save the expenses and future legal headaches of having to deal with patent infringement because of this.

Recognizing The Difficulties in Doing A Patent Search

  • In every industry, searching for patents is an extremely intricate and time-consuming procedure. It is necessary to create intricate Boolean searches, sift through all of the available patent data, and identify the key elements—such as highlighting murky areas that should be sent to a lawyer for advice. In terms of taking advantage of current market opportunities, this can be counterproductive because it can take a long time.
  • It is impossible to overestimate the importance of precision in patent searches and the analysis that follows. Any inaccuracy could result in the rejection of the patent, lawsuits alleging patent infringement, and a substantial loss of time and money. assessing whether the proposed invention is simply a copy of an existing filing made by someone else, or a version with discernible variations, becomes more challenging when assessing the criteria for patent duplication.

Artificial Intelligence in Patent Analysis and Search

  • Artificial intelligence is considerably faster than humans at finding and analyzing any type of data. Previous natural language search engines were unable to decipher the meaning and intention contained in the user-provided innovation description. However, AI-driven patent search has matured and can now produce significantly improved search relevance and extremely accurate results thanks to pre-trained Large Language Models. As a result, it is the perfect solution for tasks that require a lot of time, including patent search and analysis. Startups are already moving more quickly and closer to their eventual patent registration with the help of a number of AI search and result analysis tools.
  • Search efficiency: The efficiency that AI offers to the search process is its most evident benefit. The user may “rely” on the AI search system to provide extremely accurate results in a matter of seconds, saving them the trouble of manually crafting complex search terms to comb through patent data.
  • Semantic assessments of patents can be performed by AI trained in natural language processing (NLP). This helps them to appropriately read any sections with ambiguous wording and make sense of regional variations in language. This is especially helpful when examining patent claims for various iterations of the same invention.
  • Classification algorithms: Not all patent-related information is probably arranged according to how the startup in question views the technology. The end user can be presented with a rated and classed result by training machine learning algorithms to sort the data based on relevance.
  • Visualization tools: AI can classify and highlight important information in an understandable visual report by organizing and summarizing the data. Making educated decisions and presenting findings to pertinent parties would be made simpler as a result.

AI’s Future Directions for Searching and Analyzing Patents

Artificial intelligence has many uses in the analysis and search of patents. In order to establish a single, transparent chain of information, the integration of AI with blockchain and IoT is now being investigated. Even while some of these AI apps can be pricey, new choices are being created daily, so in the end, costs will be reduced for startups with tight budgets. AI algorithms are just getting started, but they have the potential to speed up the patent registration process enormously, so firms who use them now will be the first to see their innovative ideas come to fruition.

PatSeer is an AI-based patent search engine that leads the way in innovation by allowing users to navigate the IP landscape with never-before-seen ease thanks to its rich Boolean and AI search functionalities. With the platform’s easy-to-use interface, startups can do thorough patent searches to make sure their ideas are original and eligible for patent protection.

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OpenAI Launches SearchGPT, a Search Engine Driven by AI

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The highly anticipated launch of SearchGPT, an AI-powered search engine that provides real-time access to information on the internet, by OpenAI is being made public.

“What are you looking for?” appears in a huge text box at the top of the search engine. However, SearchGPT attempts to arrange and make sense of the links rather than just providing a bare list of them. In one instance from OpenAI, the search engine provides a synopsis of its discoveries regarding music festivals, accompanied by succinct summaries of the events and an attribution link.

Another example describes when to plant tomatoes before decomposing them into their individual types. You can click the sidebar to access more pertinent resources or pose follow-up questions once the results are displayed.

At present, SearchGPT is merely a “prototype.” According to OpenAI spokesman Kayla Wood, the service, which is powered by the GPT-4 family of models, will initially only be available to 10,000 test users. According to Wood, OpenAI uses direct content feeds and collaborates with outside partners to provide its search results. Eventually, the search functions should be integrated right into ChatGPT.

It’s the beginning of what may grow to be a significant challenge to Google, which has hurriedly integrated AI capabilities into its search engine out of concern that customers might swarm to rival firms that provide the tools first. Additionally, it places OpenAI more squarely against Perplexity, a business that markets itself as an AI “answer” engine. Publishers have recently accused Perplexity of outright copying their work through an AI summary tool.

OpenAI claims to be adopting a notably different strategy, suggesting that it has noticed the backlash. The business highlighted in a blog post that SearchGPT was created in cooperation with a number of news partners, including businesses such as Vox Media, the parent company of The Verge, and the owners of The Wall Street Journal and The Associated Press. “News partners gave valuable feedback, and we continue to seek their input,” says Wood.

According to the business, publishers would be able to “manage how they appear in OpenAI search features.” They still appear in search results, even if they choose not to have their content utilized to train OpenAI’s algorithms.

According to OpenAI’s blog post, “SearchGPT is designed to help users connect with publishers by prominently citing and linking to them in searches.” “Responses have clear, in-line, named attribution and links so users know where information is coming from and can quickly engage with even more results in a sidebar with source links.”

OpenAI gains from releasing its search engine in prototype form in several ways. Additionally, it’s possible to miscredit sources or even plagiarize entire articles, as Perplexity was said to have done.

There have been rumblings about this new product for several months now; in February, The Information reported on its development, and in May, Bloomberg reported even more. A new website that OpenAI has been developing that made reference to the transfer was also seen by certain X users.

ChatGPT has been gradually getting closer to the real-time web, thanks to OpenAI. The AI model was months old when GPT-3.5 was released. OpenAI introduced Browse with Bing, a method of internet browsing for ChatGPT, last September; yet, it seems far less sophisticated than SearchGPT.

OpenAI’s quick progress has brought millions of users to ChatGPT, but the company’s expenses are mounting. According to a story published in The Information this week, OpenAI’s expenses for AI training and inference might total $7 billion this year. Compute costs will also increase due to the millions of people using ChatGPT’s free edition. When SearchGPT first launches, it will be available for free. However, as of right now, it doesn’t seem to have any advertisements, so the company will need to find a way to make money soon.

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Google Revokes its Intentions to stop Accepting Cookies from Marketers

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Following years of delay, Google has announced that it will no longer allow advertisers to remove and replace third-party cookies from its Chrome web browser.

Cookies are text files that websites upload to a user’s browser so they can follow them around when they visit other websites. A large portion of the digital advertising ecosystem has been powered by this practice, which makes it possible to track people across many websites in order to target ads.

Google stated in 2020 that it would stop supporting certain cookies by the beginning of 2022 after determining how to meet the demands of users, publishers, and advertisers and developing solutions to make workarounds easier.

In order to do this, Google started the “Privacy Sandbox” project in an effort to find a way to safeguard user privacy while allowing material to be freely accessible on the public internet.

In January, Google declared that it was “extremely confident” in the advancement of its plans to replace cookies. One such proposal was “Federated Learning of Cohorts,” which would essentially group individuals based on similar browsing habits; thus, only “cohort IDs”—rather than individual user IDs—would be used to target them.

However, Google extended the deadline in June 2021 to allow the digital advertising sector more time to finalize strategies for better targeted ads that respect user privacy. Then, in 2022, the firm stated that feedback had indicated that advertisers required further time to make the switch to Google’s cookie replacement because some had resisted, arguing that it would have a major negative influence on their companies.

The business announced in a blog post on Monday that it has received input from regulators and advertisers, which has influenced its most recent decision to abandon its intention to remove third-party cookies from its browser.

According to the firm, testing revealed that the change would affect publishers, advertisers, and pretty much everyone involved in internet advertising and would require “significant work by many participants.”

Anthony Chavez, vice president of Privacy Sandbox, commented, “Instead of deprecating third-party cookies, we would introduce a new experience in Chrome that lets people make an informed choice that applies across their web browsing, and they’d be able to adjust that choice at any time.” “We’re discussing this new path with regulators and will engage with the industry as we roll it out.”

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 Samsung Galaxy Buds 3 Pro Launch Postponed Because of Problems with Quality Control

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At its Unpacked presentation on July 10, Samsung also debuted its newest flagship buds, the Galaxy Buds 3 Pro, with the Galaxy Z Fold 6, Flip 6, and the Galaxy Watch 7. Similar to its other products, the firm immediately began taking preorders for the earphones following the event, and on July 26th, they will go on sale at retail. But the Korean behemoth was forced to postpone the release of the Galaxy Buds 3 Pro and delay preorder delivery due to quality control concerns.

The Galaxy Buds 3 Pro went on sale earlier this week in South Korea, Samsung’s home market, in contrast to the rest of the world. However, allegations of problems with quality control quickly surfaced. These included loose case hinges, earbud joints that did not sit flush, blue dye blotches, scratches or scuffs on the case cover, and so on. It appears that the issues are exclusive to the white Buds 3 Pro; the silver devices are working fine.

Samsung reportedly sent out an email to stop selling Galaxy Buds 3 Pros, according to a Reddit user. These problems appear to be a result of Samsung’s inadequate quality control inspections. Numerous user complaints can also be found on its Korean community forum, where one consumer claims that the firm would enhance quality control and reintroduce the earphones on July 24.

 A Samsung official stated. “There have been reports relating to a limited number of early production Galaxy Buds 3 Pro devices. We are taking this matter very seriously and remain committed to meeting the highest quality standards of our products. We are urgently assessing and enhancing our quality control processes.”

“To ensure all products meet our quality standards, we have temporarily suspended deliveries of Galaxy Buds 3 Pro devices to distribution channels to conduct a full quality control evaluation before shipments to consumers take place. We sincerely apologize for any inconvenience this may cause.”

Should Korean customers encounter problems with their Buds 3 Pro devices after they have already received them, they should bring them to the closest service center for a replacement.

Possible postponement of the US debut of the Galaxy Buds 3 Pro

Samsung seems to have rescheduled the launch date and (some) presale deliveries of the Galaxy Buds 3 Pro in the US and other markets by one month. Inspect your earbuds carefully upon delivery to make sure there are no issues with quality control, especially if your order is still scheduled for July.

The Buds 3 Pro is currently scheduled for delivery in late August, one month after its launch date, on the company’s US store. Additionally, Best Buy no longer takes preorders for the earphones, and Amazon no longer lists them for sale.

There are no quality control difficulties affecting the Buds 3, and they are still scheduled for delivery by July 24, the day of launch. Customers of the original Galaxy Buds 3 Pro have reported that taking them out is easy to tear the ear tips. Samsung’s delay, though, doesn’t seem to be related to that issue.

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