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Quantum processor swapped in for a neural network

AITopics Custom Links

It's become increasingly clear that quantum computers won't have a single moment when they become clearly superior to classical hardware. Instead, we're likely to see them becoming useful for a narrow set of problems and then gradually expand out from there to an increasing range of computations. The question obviously becomes one of where the utility will be seen first. The quantum-computing startup Rigetti now has a white paper that identifies, at least theoretically, a case when quantum hardware should offer an advantage. And it is actually useful: replacing a neural network that's used for analyzing weather data.


AI surveillance takes U.S. prisons by storm

AITopics Custom Links

LOS ANGELES/WASHINGTON, Nov 15 (Thomson Reuters Foundation) - When the sheriff in Suffolk County, New York, requested $700,000 from the U.S. government for an artificial intelligence system to eavesdrop on prison phone conversations, his office called it a key tool in fighting gang-related and violent crime. But the county jail ended up listening to calls involving a much wider range of subjects - scanning as many as 600,000 minutes per month, according to public records from the county obtained by the Thomson Reuters Foundation. Beginning in 2019, Suffolk County was an early pilot site for the Verus AI-scanning system sold by California-based LEO Technologies, which uses Amazon speech-to-text technology to transcribe phone calls flagged by key word searches. The company and law enforcement officials say it is a crucial tool to keep prisons and jails safe, and fight crime, but critics say such systems trample the privacy rights of prisoners and other people, like family members, on the outside. "The ability to surveil and listen at scale in this rapid way - it is incredibly scary and chilling," said Julie Mao, deputy director at Just Futures Law, an immigration legal group.


The Roomba s9 is on sale and even cheaper than its Black Friday price

Mashable

As of Dec. 7, the iRobot Roomba s9 is on sale at Amazon for just $899 -- that's a whole 30% off its regular price of $1,299.99, a bigger discount even than during Black Friday/Cyber Monday weekend. While cheaper robot vacuums with less brand recognition are available, Roombas typically range in price from $150 to over $1,000. The higher end of this sliding scale is pretty hard to justify when you think about Roombas as little disks that basically perform the same function -- vacuum -- just marginally better, but even small differences make for a very different cleaning experience. As the "most advanced... smartest, [and] most powerful robot vacuum" in iRobot's lineup, the Roomba s9 has a $1,299.99 However, its specs almost make it worth it -- it's got 40x the suction power of the Roomba 600 series (themselves priced around $180) and a 3-Stage Cleaning System that lifts, loosens, and eliminates gunk from deep within your carpets (and it automatically senses the depth of said carpets) to get them clean beyond what you can even see.


Elon Musk says Neuralink could start implanting chips in humans in 2022

Daily Mail - Science & tech

Elon Musk claims his Neuralink, a brain-interface technology company, is less than a year away from implanting chips into human brains. The news comes from the billionaire himself during a live-streamed interview with The Wall Street Journal CEO Council Summit on Monday, when asked about plans for the company in 2022. 'Neuralink's working well in monkeys and we're actually doing just a lot of testing and just confirming that it's very safe and reliable and the Neuralink device can be removed safely,' Musk said. 'We hope to have this in our first humans -- which will be people that have severe spinal cord injuries like tetraplegics, quadriplegics -- next year, pending FDA approval. 'I think we have a chance of being able to allow someone who cannot walk or use their arms be able to walk again – but not naturally.'


Brainnwave, Hatch Form Co-Venture for AI-Augmented Metals, Mining, & More

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Brainnwave, founded in 2014, provides an augmented business intelligence platform that leverages advanced machine learning and statistical models to transform data. Now, the Edinburgh-based company has teamed up with a company nearly 60 years its senior: Hatch, which delivers engineering, construction, and consulting solutions for industries spanning mining, metallurgy, energy, and infrastructure. The new co-venture will combine Brainnwave's AI-powered analytics with Hatch's sector knowledge to deliver improved solutions for those industries. At the launch of the co-venture, Hatch announced a Series A investment in Brainnwave, not disclosing the amount of the investment. "This partnership made sense because both organizations are like-minded in their entrepreneurial approach, willingness to do things differently and challenge the status quo, and propensity to develop game-changing solutions," said Steve Coates, CEO and co-founder of Brainnwave.


Report: AI/ML impact video entertainment industry

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Often considered a'solution for everything', AI will expand its impact as the video entertainment industry realises its benefits to a variety of applications, according to a report commissioned by mobile and video technology developer InterDigital and written by market research firm Futuresource Consulting, which examines the industry influence of artificial intelligence (AI) and machine learning (ML) on applications across the video supply chain. The report, AI and Machine Learning in the Video Industry: New Opportunities for the Entertainment Sector, investigates the emerging uses of AI across segments of the media industry and highlights key examples of how AI is employed today and might develop in the future. Valued at roughly $84 billion, the global video entertainment industry is fuelled by a five-stage supply chain comprised of media creation, preparation, distribution, playout and delivery, and consumption. AI can be incorporated within several applications across the ecosystem, from encoding to transmission to decoding to post-processing. With a wide variety of applications, including auto tagging metadata, creating transcripts, conducting quality control, flagging inappropriate content, or even service personalization, AI's strength is extracting patterns from'big data' where traditional algorithms might fail.


Real-World Data Analyst, Pharma R&D

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Combine data from EMR's, observational notes, claims and other databases at the patient level for analysis. Deliver advanced analysis of real world and clinical data to discover new research opportunities, run clinical trial simulations, perform endpoint (e.g.


CIOs and other IT leaders share predictions and tech trends for 2022

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As we enter 2022, CIOs and other IT leaders are predicting more of the same issues: a tech talent shortage that will stress organizations still working on modernization efforts and increased use of artificial intelligence and analytics, and enhancing security, among other innovative technologies. Among its predictions for 2022, Forrester believes "a tech talent panic will create broad gaps until new sourcing models go mainstream." IT organizations face a 13.8% attrition rate, reflecting a slow move to "future fit" talent strategies, according to Forrester. "The demand for technology talent maintains a frenetic pace with an emphasis on data and analytics, information security, architecture, cloud and engineering," said Craig Stephenson, managing director, North America Technology Officers Practice, at Korn-Ferry. Here's how they plan to cope.


Better Machine Learning Demands Better Data Labeling

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Money can't buy you happiness (although you can reportedly lease it for a while). It definitely cannot buy you love. And the rumor is money also cannot buy you large troves of labeled data that are ready to be plugged into your particular AI use case, much to the chagrin of former Apple product manager Ivan Lee. "I spent hundreds of millions of dollars at Apple gathering labeled data," Lee said. "And even with its resources, we were still using spreadsheets."


Top 8 Machine Learning Algorithms

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Artificial intelligence emerged with the question of whether machines can think like humans. Artificial intelligence is one of the hottest fields of study today. Machine learning is the science of extracting information from data and is a subfield of artificial intelligence. Many problems that could not be solved with classical statistical methods could be solved with machine learning algorithms. In this post, I will talk about 8 basic machine learning algorithm families.