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Dell's Latitude 9510 shakes up corporate laptops with 5G, machine learning, and thin bezels | PCWorld ');consent.ads.queue.push(function(){ try { IDG.GPT.addDisplayedAd("gpt-superstitial", "true"); $('#gpt-superstitial').responsiveAd({screenSize:'971 1115', scriptTags: []}); IDG.GPT.log("Creating ad: gpt-superstitial [971 1115]"); }catch (exception) {console.log("Error with IDG.GPT: " + exception);} }); This business workhorse has a lot to like.

Dell Latitude 9510 hands-on: The three best features

Dell's Latitude 9510 has three features we especially love: The integrated 5G, the Dell Optimizer Utility that tunes the laptop to your preferences, and the thin bezels around the huge display.

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The Dell Latitude 9510 is a new breed of corporate laptop. Inspired in part by the companys powerful and much-loved Dell XPS 15, its the first model in an ultra-premium business line packed with the best of the best, tuned for business users.

Announced January 2 and unveiled Monday at CES in Las Vegas, the Latitude 9510 weighs just 3.2 pounds and promises up to 30 hours of battery life.PCWorld had a chance to delve into the guts of the Latitude 9510, learning more about whats in it and how it was built. Here are the coolest things we saw:

The Dell Latitude 9510 is shown disassembled, with (top, left to right) the magnesium bottom panel, the aluminum display lid, and the internals; and (bottom) the array of ports, speaker chambers, keyboard, and other small parts.

The thin bezels around the 15.6-inch screen (see top of story) are the biggest hint that the Latitude 9510 took inspiration from its cousin, the XPS 15. Despite the size of the screen, the Latitude 9510 is amazingly compact. And yet, Dell managed to squeeze in a camera above the displaythanks to a teeny, tiny sliver of a module.

A closer look at the motherboard of the Dell Latitude 9510 shows the 52Wh battery and the areas around the periphery where Dell put the 5G antennas.

The Latitude 9510 is one of the first laptops weve seen with integrated 5G networking. The challenge of 5G in laptops is integrating all the antennas you need within a metal chassis thats decidedly radio-unfriendly.

Dell made some careful choices, arraying the antennas around the edges of the laptop and inserting plastic pieces strategically to improve reception. Two of the antennas, for instance, are placed underneath the plastic speaker components and plastic speaker grille.

The Dell Latitude 9510 incorporated plastic speaker panels to allow reception for the 5G antennas underneath.

Not ready for 5G? No worries. Dell also offers the Latitude 9510 with Wi-Fi 6, the latest wireless networking standard.

You are constantly asking your PC to do things for you, usually the same things, over and over. Dells Optimizer software, which debuts on the Latitude 9510, analyzes your usage patterns and tries to save you time with routine tasks.

For instance, the Express SignIn feature logs you in faster. The ExpressResponse feature learns which applications you fire up first and loads them faster for you. Express Charge watches your battery usage and will adjust settings to save bettery, or step in with faster charging when you need some juice, pronto. Intelligent Audio will try to block out background noise so you can videoconference with less distraction.

The Dell Latitude 9510s advanced features and great looks should elevate corporate laptops in performance as well as style.It will come in clamshell and 2-in-1 versions, and is due to ship March 26. Pricing is not yet available.

Melissa Riofrio spent her formative journalistic years reviewing some of the biggest iron at PCWorld--desktops, laptops, storage, printers. As PCWorld's Executive Editor she leads PCWorlds content direction and covers productivity laptops and Chromebooks.

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Dell's Latitude 9510 shakes up corporate laptops with 5G, machine learning, and thin bezels - PCWorld

Rodney Brooks (previously) is a distinguished computer scientist and roboticist (he's served as as head of MIT's Computer Science and Artificial Intelligence Laboratory and CTO of Irobot); two years ago, he published a list of "dated predictions" intended to cool down some of the hype about self-driving cars, machine learning, and robotics, hype that he viewed as dangerously gaseous.

Every year, Brooks revisits those predictions to see how he's doing (to "self certify the seriousness of my predictions"). This year's scorecard is characteristically curmudgeonly, and shows that Brooks's skepticism was well-warranted, revealing much of the enthusiasm for about AI to have been mere froth: "I had not predicted any big milestones for AI and machine learning for the current period, and indeed there were none achieved... [W]e have seen warnings that all the over-hype of machine and deep learning may lead to a new AI winter when those tens of thousands of jolly conference attendees will no longer have grants and contracts to pay for travel to and attendance at their fiestas"

Some of the predictions are awfully fun, too, like "The press, and researchers, generally mature beyond the so-called 'Turing Test' and Asimov's three laws as valid measures of progress in AI and ML" (predicted for 2022; last year's update was, "I wish, I really wish.").

Brooks is pretty bullish on the web for piercing hype-bubbles, noting that it provides "outlets... for non-journalists, perhaps practitioners in a scientific field, to write position papers that get widely referenced in social media... During 2019 we saw many, many well informed such position papers/blogposts. We have seen explanations on how machine learning has limitations on when it makes sense to be used and that it may not be a universal silver bullet."

Bruce Sterling's actually pretty comfortable with tech hype: "Ive come to see tech-hype as a sign of social health. Its kinda like being young and smitten by a lot of random pretty people, only, youre not gonna really have relationships with most of them, and also, the one you oughta marry and have children with, that is probably not the one who seems most fantastically hot and sexy. Also, if nothing at all seems fantastically hot and sexy, then you probably have a vitamin deficiency. Its all part of the marvelous pageant of life, ladies and gentlemen."

I made my predictions because at the time I saw an immense amount of hype about these three topics, and the general press and public drawing conclusions about all sorts of things they feared (e.g., truck driving jobs about to disappear, all manual labor of humans about to disappear) or desired (e.g., safe roads about to come into existence, a safe haven for humans on Mars about to start developing) being imminent. My predictions, with dates attached to them, were meant to slow down those expectations, and inject some reality into what I saw as irrational exuberance.

Predictions Scorecard, 2020 January 01 [Rodney Brooks]

(via Beyond the Beyond)

(Image: Gartner; Cryteria, CC-BY, modified)

The Boeing 737 Next Generation has a gnarly bug: on instrument approach to seven specific runways, the six cockpit display units used to guide the pilots to their landing go suddenly black and they remain black until the pilots choose a different runway to land on.

Every year, the AI Now Institute (previously) publishes a deep, thoughtful, important overview of where AI research is and the ethical gaps in AI's use, and makes a list of a dozen urgent recommendations for the industry, the research community, and regulators and governments.

Librecorps is a program based at the Rochester Institute for Technology's Free and Open Source Software (FOSS) initiative that works with UNICEF to connect students with NGOs for paid co-op placements where they build and maintain FOSS tools used by nonprofits.

Theres art software for beginners, and theres art software that packs in all the bells and whistles. Usually, the two are mutually exclusive, but Clip Studio Paint DEBUT is one of the rare exceptions: A platform for budding artists that dont put a ceiling on their options once theyve outgrown the fundamentals. Even if youve []

The mind is a powerful tool and, like any great tool, it can be easily misused. Mindfulness is a great buzzword to throw around, but how do we actually achieve it? Anyone can find a personal trainer for their body, but its not like there are brain trainers out there for hire. Or are []

Its hard to find a web-based profession or any profession, for that matter that doesnt require you to deal with PDFs. Theyre universally recognized, theyre used for tons of official documents, and theyre stubbornly resistant to editing. Thats by design, of course. But technology always finds a workaround. And if youve got a []

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AI, machine learning, and other frothy tech subjects remained overhyped in 2019 - Boing Boing

BOSTON & SAN FRANCISCO--(BUSINESS WIRE)--Pear Therapeutics, Inc., the leader in Prescription Digital Therapeutics (PDTs), announced today that it has entered into agreements with multiple technology innovators, including Firsthand Technology, Inc., leading researchers from the Karolinska Institute in Sweden, Cincinnati Childrens Hospital Medical Center, Winterlight Labs, Inc., and NeuroLex Laboratories, Inc. These new agreements continue to bolster Pears PDT platform, by adding to its library of digital biomarkers, machine learning algorithms, and digital therapeutics.

Pears investment in these cutting-edge technologies further supports its strategy to create the broadest and deepest toolset for the development of PDTs that redefine standard of care in a range of therapeutic areas. With access to these new technologies, Pear is positioned to develop PDTs in new disease areas, while leveraging machine learning to personalize and improve its existing PDTs.

We are excited to announce these agreements, which expand the leading PDT platform, said Corey McCann, M.D., Ph.D., President and CEO of Pear. "Accessing external technologies allows us to continue to broaden the scope and efficacy of PDTs.

The field of digital health is evolving rapidly, and PDTs are going to increasingly play a big part because they are designed to allow doctors to treat disease in combination with drug products more effectively than with drugs alone, said Alex Pentland, Ph.D., a leading expert in voice analytics and MIT Professor. For PDTs to make their mark in healthcare, they will need to continually evolve. Machine learning and voice biomarker algorithms are key to guide that evolution and personalization.

About Pear Therapeutics

Pear Therapeutics, Inc. is the leader in prescription digital therapeutics. We aim to redefine medicine by discovering, developing, and delivering clinically validated software-based therapeutics to provide better outcomes for patients, smarter engagement and tracking tools for clinicians, and cost-effective solutions for payers. Pear has a pipeline of products and product candidates across therapeutic areas, including severe psychiatric and neurological conditions. Our lead product, reSET, for the treatment of Substance Use Disorder, was the first prescription digital therapeutic to receive marketing authorization from the FDA to treat disease. Pears second product, reSET-O, for the treatment of Opioid Use Disorder, received marketing authorization from the FDA in December 2018. For more information, visit us at http://www.peartherapeutics.com.

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1. Jones, T., Moore, T., & Choo, J. (2016). The Impact of Virtual Reality on Chronic Pain. PloS one, 11(12), e0167523. doi:10.1371/journal.pone.0167523

2. Ljtsson B, Hesser H, Andersson E, Lackner JM, Alaoui El S, Falk L, Aspvall K, Fransson J, Hammarlund K, Lfstrm A, Nowinski S, Lindfors P, Hedman E. Provoking symptoms to relieve symptoms: A randomized controlled dismantling study of exposure therapy in irritable bowel syndrome. Beh Res Ther. 2014 Feb 10;55C:2739. PMID:24584055

3. Ljtsson B, Hedman E, Andersson E, Hesser H, Lindfors P, Hursti T, Rydh S, Rck C, Lindefors N, Andersson G. Internet-delivered exposure-based treatment vs. stress management for irritable bowel syndrome: a randomized trial. Am J Gastroenterol. 2011 Aug;106(8):148191. PMID:21537360

4. Ljtsson B, Andersson G, Andersson E, Hedman E, Lindfors P, Andrewitch S, Rck C, Lindefors N. Acceptability, effectiveness, and cost-effectiveness of internet-based exposure treatment for irritable bowel syndrome in a clinical sample: a randomized controlled trial. BMC Gastroenterol. 2011;11(1):110. PMID:21992655

5. Ljtsson B, Falk L, Vesterlund AW, Hedman E, Lindfors P, Rck C, Hursti T, Andrewitch S, Jansson L, Lindefors N, Andersson G. Internet-delivered exposure and mindfulness based therapy for irritable bowel syndrome - a randomized controlled trial. Beh Res Ther. 2010 Jun;48(6):5319. PMID:20362976

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Pear Therapeutics Expands Pipeline with Machine Learning, Digital Therapeutic and Digital Biomarker Technologies - Business Wire

Joint silicon development through SiFive's DesignShare Program combines IP and design strengths of both companies to develop Edge AI SoCs for a range of high-volume end markets including smart home, automotive, robotics, security, augmented reality, industrial and IoT

SAN MATEO and MOUNTAIN VIEW, Calif., Jan. 7, 2020 -- SiFive, Inc., the leading provider of commercial RISC-V processor IP and silicon solutions and CEVA, Inc. (NASDAQ: CEVA), the leading licensor of wireless connectivity and smart sensing technologies, today announced a new partnership to enable the design and creation of ultra-low-power domain-specific Edge AI processors for a range of high-volume end markets. The partnership, as part of SiFive's DesignShare program, is centered around RISC-V CPUs, CEVA's DSP cores, AI processors and software, which will be designed into SoCs targeting an array of end markets where on-device neural networks inferencing supporting imaging, computer vision, speech recognition and sensor fusion applications is required. Initial end markets include smart home, automotive, robotics, security and surveillance, augmented reality, industrial and IoT.

Machine Learning Processing at the Edge

Domain-specific SoCs which can handle machine learning processing on-device are set to become mainstream, as the processing workloads of devices increasingly includes a mix of traditional software and efficient deep neural networks to maximize performance, battery life and to add new intelligent features. Cloud-based AI inference is not suitable for many of these devices due to security, privacy and latency concerns. SiFive and CEVA are directly addressing these challenges through the development of a range of domain-specific scalable edge AI processor designs, with the optimal balance of processing, power efficiency and cost.

The Edge AI SoCs are supported by CEVA's award-winning CDNN Deep Neural Network machine learning software compiler that creates fully-optimized runtime software for the CEVA-XM vision processors, CEVA-BX audio DSPs and NeuPro AI processors. Targeted for mass-market embedded devices, CDNN incorporates a broad range of network optimizations, advanced quantization algorithms, data flow management and fully-optimized compute CNN and RNN libraries into a holistic solution that enables cloud-trained AI models to be deployed on edge devices for inference processing. CEVA will also supply a full development platform for partners and developers based on the CEVA-XM and NeuPro architectures to enable the development of deep learning applications using the CDNN, targeting any advanced network, as well as DSP tools and libraries for audio and voice pre- and post-processing workloads.

SiFive DesignShare Program

The SiFive DesignShare IP program offers a streamlined process for companies seeking to partner with leading vendors to provide pre-integrated premium Silicon IP for bringing new SoCs to market. As part of SiFive's business model to license IP when ready for mass production, the flexibility and choice of the DesignShare IP program reduces the complexities of contract negotiation and licensing agreements to enable faster time to market through simpler prototyping, no legal red tape, and no upfront payment.

"CEVA's partnership with SiFive enables the creation of Edge AI SoCs that can be quickly and expertly tailored to the workloads, while also retaining the flexibility to support new innovations in machine learning," said Issachar Ohana, Executive Vice President, Worldwide Sales at CEVA. "Our market leading DSPs and AI processors, coupled with the CDNN machine learning software compiler, allow these AI SoCs to simplify the deployment of cloud-trained AI models in intelligent devices and provides a compelling offering for anyone looking to leverage the power of AI at the edge."

"Enabling future-proof, technology-leading processor designs is a key step in SiFive's mission to unlock technology roadmaps," said Dr. Naveed Sherwani, president and CEO, SiFive. "The rapid evolution of AI models combined with the requirements for low power, low latency, and high-performance demand a flexible and scalable approach to IP and SoC design that our joint CEVA / SiFive portfolio is superbly positioned to provide. The result is shorter time-to-market, while lowering the entry barriers for device manufacturers to create powerful, differentiated products."

Availability

SiFive's DesignShare program, including CEVA-BX Audio DSPs, CEVA-XM Vision DSPs and NeuPro AI processors, is available now. Visit http://www.sifive.com/designshare for more information.

About SiFive

SiFive is on a mission to free semiconductor roadmaps and declare silicon independence from the constraints of legacy ISAs and fragmented solutions. As the leading provider of market-ready processor core IP and silicon solutions based on the free and open RISC-V instruction set architecture SiFive helps SoC designers reduce time-to-market and realize cost savings with customized, open-architecture processor cores, and democratizes access to optimized silicon by enabling system designers in all markets to build customized RISC-V based semiconductors. Founded by the inventors of RISC-V, SiFive has 16 design centers worldwide, and has backing from Sutter Hill Ventures, Qualcomm Ventures, Spark Capital, Osage University Partners, Chengwei, Huami, SK Hynix, Intel Capital, and Western Digital. For more information, please visit http://www.sifive.com.

About CEVA, Inc.

CEVA is the leading licensor of wireless connectivity and smart sensing technologies. We offer Digital Signal Processors, AI processors, wireless platforms and complementary software for sensor fusion, image enhancement, computer vision, voice input and artificial intelligence, all of which are key enabling technologies for a smarter, connected world. We partner with semiconductor companies and OEMs worldwide to create power-efficient, intelligent and connected devices for a range of end markets, including mobile, consumer, automotive, robotics, industrial and IoT. Our ultra-low-power IPs include comprehensive DSP-based platforms for 5G baseband processing in mobile and infrastructure, advanced imaging and computer vision for any camera-enabled device and audio/voice/speech and ultra-low power always-on/sensing applications for multiple IoT markets. For sensor fusion, our Hillcrest Labs sensor processing technologies provide a broad range of sensor fusion software and IMU solutions for AR/VR, robotics, remote controls, and IoT. For artificial intelligence, we offer a family of AI processors capable of handling the complete gamut of neural network workloads, on-device. For wireless IoT, we offer the industry's most widely adopted IPs for Bluetooth (low energy and dual mode), Wi-Fi 4/5/6 (802.11n/ac/ax) and NB-IoT. Visit us at http://www.ceva-dsp.com

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SiFive and CEVA Partner to Bring Machine Learning Processors to Mainstream Markets - Design and Reuse

Storied film company Warner Bros. has signed a deal with Cinelytic, an LA startup that uses machine learning to predict film success. A story from The Hollywood Reporter claims that Warner Bros. will use Cinelytics algorithms to guide decision-making at the greenlight stage, but a source at the studio told The Verge that the software would only be used to help with marketing and distribution decisions made by Warner Bros. Pictures International.

In an interview with THR, Cinelytics CEO Tobias Queisser stressed that AI was only an assistive tool. Artificial intelligence sounds scary. But right now, an AI cannot make any creative decisions, Queisser told the publication. What it is good at is crunching numbers and breaking down huge data sets and showing patterns that would not be visible to humans. But for creative decision-making, you still need experience and gut instinct.

Regardless of what Cinelytics technology is being used for, the deal is a step forward for Hollywoods slow embrace of machine learning. As The Verge reported last year, Cinelytic is just one of a new crop of startups leveraging AI to forecast film performance, but the film world has historically been skeptical about their ability.

Andrea Scarso, a film investor and Cinelytic customer, told The Verge that the startups software hadnt ever changed his mind, but opens up a conversation about different approaches. Said Scarso: You can see how, sometimes, just one or two different elements around the same project could have a massive impact on the commercial performance.

Cinelytics software lets customers play fantasy football with films. Users can model a pitch; inputting genre, budget, actors, and so on, and then see what happens when they tweak individual elements. Does replacing Tom Cruise with Keanu Reeves get better engagement with under-25s? Does it increase box office revenue in Europe? And so on.

Many AI experts are skeptical about the ability of algorithms to make predictions in a field as messy as filmmaking. Because machine learning applications are trained on historical data they tend to be conservative, focusing on patterns that led to past successes rather than predicting what will excite future audiences. Scientific studies also suggest algorithms only produce limited predictive gains, often repeating obvious insights (like Scarlett Johansson is a bankable film star) that can be discovered without AI.

But for those backing machine learning in filmmaking, the benefit is simply that such tools produce uncomplicated analysis faster than humans can. This can be especially useful at film festivals, notes THR, when studios can be forced into bidding wars for distribution rights, and have only a few hours to decide how much a film might be worth.

We make tough decisions every day that affect what and how we produce and deliver films to theaters around the world, and the more precise our data is, the better we will be able to engage our audiences, Warner Bros. senior vice president of distribution, Tonis Kiis, told THR.

Update January 8, 11:00AM ET: Story has been updated with additional information from a source at Warner Bros.

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Warner Bros. signs AI startup that claims to predict film success - The Verge