![]() ![]() This algorithm essentially allows a quantum computer to figure out how a set of multidimensional geometrical shapes of given orientations intersect. The HHL algorithm, named for its developers Aram Harrow, Avinatan Hassidim and Seth Lloyd, offered a significant theoretical speedup in solving a common problem in linear algebra, the field of mathematics on which classical machine learning is based. Some researchers credit an algorithm published in 2008, known as the HHL algorithm, for jump-starting the field. Still, the community has been awash in activity. "I have not seen a single piece of evidence that there exists a meaningful task for which it would make sense to use a quantum computer and not a classical computer," says physicist Ryan Sweke of the Free University of Berlin in Germany."There is a lot more work that needs to be done before claiming quantum machine learning will actually work," says computer scientist Iordanis Kerenidis, the head of quantum algorithms at the Silicon Valley-based quantum computing startup QC Ware.This is an extremely new scientific field," says physicist Maria Schuld of Canada-based quantum computing startup Xanadu. "I think we haven't done our homework yet.The assessments range from cautious optimism to outright skepticism: Regarding this goal, experts speak quite conservatively about what they've actually accomplished. The goal of researchers working in the field is, broadly, to develop quantum computing algorithms that can analyze data faster, more accurately, or just differently than conventional machine learning algorithms. Two months later, the academic publisher Springer launched Quantum Machine Intelligence, purportedly the first academic journal dedicated to the field.īut is the fanfare really based on significant technological progress, or is it a triumph of public relations? In March 2019, a quantum machine learning experiment landed IBM on the cover of the scientific journal Nature. Researchers churned out nearly four times as many academic papers on the topic in 2018 compared to 2012. Google's quantum computing team touts it as a "near-term application" on its website. But right now, it seems to be having a moment. I think they have saved the best for last.For the last decade, quantum machine learning sounded like little more than a perfect marriage of buzzwords. I’m expecting some big announcements at CES along with some other features, (perhaps a version of home, or compatibility). They know that information and hype travels so fast these days, so you want to release the item at peak hype. ![]() ![]() They drip fed us right up to shortly before the release, and I think they are doing the same thing with the VR2. I remember us all salivating at a video about a controller but wanting to know more about the console (turns out the controller was the big thing). Lastly I think Sony have changed their marketing strategy (I didn’t follow the ps4) but for the ps5 they kept everything tight lipped. They are up against Valve, Quest etc, not Xbox and switch. I don’t think Sony is trying to target the PlayStation market but rather the VR market. But if we shift our lens and not view this as an announcement for Sony PlayStation games, but rather this is an announcement for VR games it makes more sense. I have seen multiple redditors post that CES is not the place where Sony announces games, and others reply that’s where call of the Mountain was announced. Game Discussions Previous AMAs PSVR Dev? Send us a message!.Legacy Side-Projects: Vue - PSTV Subscribe to upcoming events here. Legacy Platforms: PS4 - PS4 Pro - PS Vita - PS3 - PS2 - PS1 - PSP More details on our rules can be found here. No selling, lending or renting of PSVR hardware & games, discussing piracy or gambling. Follow reddit rules about self promotion.Ĩ. Giveaway, Crowd-Funding & Review Thread Requirements.Ħ. Posts with titles that do not describe their content may be removed.Ĥ. Do not submit vague titles or generalized posts. All spoilers and NSFW content must be marked.ģ. Do not personally attack or insult other users.Ģ. ![]()
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