Shares of Qualcomm soared 23% Tuesday – and remained up Wednesday – in the wake of a late-afternoon filing with the Securities and Exchange Commission, wherein the company announced that it reached a "multi-year" "global patent license agreement" and "chipset supply agreement" with Apple that settles the companies' yearslong intellectual property litigation and appears likely to work out to the benefit of both parties. In said filing with the SEC, Qualcomm states that as of April 1, 2019, it has directly licensed its relevant patents to Apple for at least the next six years, with the option to extend the agreement for an additional two years. Moreover, Qualcomm will supply chipsets to Apple for use in the latter's devices for several years at least. In exchange, Apple will make a one-time payment of an unspecified amount to Qualcomm, and pay continuing royalties to boot – also in an amount unspecified. Robotic advances: Mush! Watch a team of Boston Dynamics' SpotMini robot dogs pull a truck down the street Finally, "all worldwide litigation" between the two combatants "will be dismissed and withdrawn," including lawsuits against Apple's contract manufacturers.
It can be difficult for those outside the trademark industry to comprehend the archaic nature of many of the processes. Those used to the magic of Google at their fingertips to obtain information are often taken aback by a proposed turnaround time of a clearance search that numbers in days and sometimes weeks and yet still carry a hefty price tag. They are often shocked to discover that'watching your marks' often means not only paying for a service to deliver reports but that it means wading through pages upon pages of results with no guarantee that there is even a single result in there worthy of your attention. Even in private practice law firms, the trademark workload is notoriously heavy from an administrative perspective.
The European Parliament passed a directive to overhaul copyright law, making companies like Google and Facebook responsible for copyright violations committed by their users (read: creators of memes and GIFs). The laws will apply only in the EU for now, but it's possible these global companies will apply these laws elsewhere (Microsoft has already applied some EU regulations in other places.) Venezuela used to have an anti-government newspaper, but that was until the government made it impossible for them to get enough paper to print. So Venezuelans have turned to the voice-chat app Zello to spread news, get basic needs, and coordinate aid amid the country's political and economic crisis. Vice President Mike Pence said the US will be sending astronauts to the moon's south pole.
The patentability of artificial intelligence (AI) has been increasingly scrutinized in light of the surge in AI technology development and the ambiguity regarding the interpretation of software-related patents. The Federal Circuit has gradually refined the criteria for determining subject matter eligibility for software-related patents, and based in part on such jurisprudence, earlier this year the U.S. Patent and Trademark Office (USPTO) released revised guidance on examining patent subject matter eligibility under 35 U.S.C. §101. See 2019 Revised Patent Subject Matter Eligibility Guidance, 84 Fed. Considering the advances in AI technology and intellectual property law, how do these recent developments shape the outlook of AI patentability?
On Wednesday night, Tesla sued four former employees and the self-driving startup Zoox for misappropriation of trade secrets. No, you're not having driverless-car lawsuit déjà vu--you're just remembering the time last year when Waymo and Uber settled their own trade secrets case after four days of trial. Tesla's suit, filed in the Northern California federal district court, alleges that four of its former employees took proprietary information related to "warehousing, logistics, and inventory control operations" when they left the electric automaker, and later, while working for Zoox, used that proprietary information to improve its technology and operations. Tesla says the former employees--Scott Turner, Sydney Cooper, Chrisian Dement, and Craig Emigh--worked in product distribution and warehouse supervising. It alleges they forwarded the trade secrets to their own personal email accounts, or the accounts of other former Tesla employees.
An annotated photo from IBM's Diversity in Faces data set. Some photographers who contributed photos to the Flickr photo-sharing site were surprised IBM used those same photos in a million-image collection to train AI face-recognition systems -- but perhaps they shouldn't have been. The Flickr photos had been shared under a Creative Commons license, a framework under which people can loosen restrictions on photos, text, video or other material that otherwise would be protected by copyright. CC licenses can bar commercial use or require others using the photos to attribute them to their source, but the general idea is to make the work available for others to use. "None of the people I photographed had any idea their images were being used in this way...It seems a little sketchy that IBM can use these pictures without saying anything to anybody," Greg Peverill-Conti, an executive at public relations firm SharpOrange whose photos were used, told NBC News Tuesday.
Data-driven advances in artificial intelligence (AI) and machine learning are now set to reshape industries and regulatory frameworks around the world. Fusing the physical, digital and biological worlds, the Fourth Industrial Revolution is remaking the very notion of innovation as countries leverage data to compete for military and commercial advantage. As former BlackBerry Chairman and co-CEO Jim Balsillie suggests, this data-driven revolution is not just remaking the terms of global trade, it is transforming the nature and distribution of wealth. In 1976, 16% of the S&P 500 was made up of intangible assets (patents, trademarks and copyrights). Today, it is now 90%.
Apple acquired Power by Proxi in October 2017. One of the first patent applications surfacing from Power by Proxi under Apple's name showed that their expertise was with an "object detection system." Such a system is crucial on a multi-device charging pad like AirPower. A user may pull their iPhone out of their pocket to charge it on AirPower and accidentally place along with it an aluminum gum wrapper, some loose change or a transit pass with a magnetic strip on the mat which could cause havoc if not a fire if the charging coils are accidentally overheated. Apple has both acquired and filed patents (01 & 02) working on this problem of foreign objects dumped on a charging pad.
The world's biggest consumer electronics show was held last month and wandering around the seemingly endless stalls of emerging new products, it was impossible to avoid the claims of artificial intelligence in some form or another. Some gadgets were, of course, smarter than others. From facial recognition food bowls for your pets to handheld speech recognition and language translation devices, smart tech and self-learning algorithms abound. The actual intelligence of some smart products is debatable but the trend is undeniable.Source:Supplied Encompassing terms including deep learning, machine learning, neural networks and general artificial intelligence which seeks to build computers with a capacity to think and learn like humans, it can be hard to pin down what AI truly means. But it's clearly here to stay.
A 17-year-old bet his high school programming club that artificial intelligence (AI) could outperform human beings. To prove it, Robbie Barrat developed a program that could write its own rap lyrics using 6,000 Kayne West lyrics.1 He is not the only one creating art using AI. Major news organizations like The Washington Post are integrating AI into their business models.2 In addition, a painting created by Obvious using AI was recently auctioned off by Christie's for almost a half of a million dollars.3