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Best Gifts for Grads: Tech Presents for Class of 2019

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High school, college, or graduate school is done and now, it is time to start a new chapter in your life. If you are a member of the Class of 2019, you are most likely getting ready for that exciting next step, whether it is moving to a new place, traveling abroad, starting a new job, or continuing your education. Regardless, you will need some savvy gadgets to help you along the way. Here are the best (and most useful) tech gifts for the graduate in your life, whether it’s you, a family member, friend, or coworker.

Garmin Vivoactive 3

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If you like to workout, the Garmin Vivoactive 3 can help you keep track of time and give you vital health stats, including VO2 max and fitness made estimates. Unlike other wearable devices, this smartwatch is not too bulky, includes more than 15 preloaded GPS and indoor sports apps for yoga, running, and other exercise activities, and you can stay updated on smartphone notifications whenever you’re at the gym.

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Instant Pot Pressure Cooker

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Dining hall days are over, but that doesn’t mean you can’t be an amazing cook on your own. This Instant Pot Pressure Cooker will step up your daily meal game: Soup, stew, rice, and oatmeal can easily be made in this kitchen-friendly (and space-saving) gadget.

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Beats Solo3 Wireless On-Ear Headphones

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Walking or taking public transit to work? You’re going to need a good set of wireless, noise-canceling headphones, such as the Beats Solo3 Wireless On-Ear Headphones. You can listen to your favorite playlists or podcasts without having to use an annoying pair of earbuds. 

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Portable Phone Charger

Photo Credit: Amazon

Wouldn’t it be great if every place you went to had outlets? Sadly though, this isn’t in the works anytime soon. However, you can always keep your smartphone powered up with a portable phone charger, like this one from Luxtude. It works with most Android and iPhone models and easily fits in a backpack, purse, or briefcase.

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Keurig Coffee Maker

Photo Credit: Amazon

Save money on your daily Dunkin’ Donuts, Starbucks, or bougie coffee shop trips and invest in a Keurig Coffee Maker. All you need to do is buy the K-Cup pods, which honestly save you from using filters and ground coffee, put it into the machine, and bam, you get a cup o’ joe on the spot with minimal effort.

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Fire TV Stick

Photo Credit: Amazon

Binge-watching sessions are essential for downtime, so why not keep all your favorite entertainment sources in one place with the Fire TV Stick? This streaming media device makes it easy to control and launch Netflix, Hulu, and other streaming services right from your bed, couch, or desk. Plus, Amazon Alexa can help you search for flicks, dim the lights, and order takeout for the perfect movie night.

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Polaroid Lab Turns Smartphone Snaps Into Instant Photos

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Like live theater and paper books, printed pictures provide a sense of presence that movies, e-books, and digital images lack.

It’s that feeling—plus a hint of nostalgia—that keeps Polaroid in business.

Now, the company is launching a portable printer* that turns smartphone snaps into instant photos.

“Unlimited cloud storage can actually be your memories’ worst enemy, causing your digital photos to skyrocket in numbers and end up falling into a void of oblivion,” Polaroid CEO Oskar Smolokowski said in a statement.

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With a camera in every pocket, people are taking more pictures than ever. But it’s easy to lose track of special moments among a sea of online pixels.

Enter Polaroid Lab.

The idea, according to Smolokowski, is to turn precious pictures into tangible photographs, “bringing them into the world as something you can hold in your hand and store on the fridge door rather than in the cloud.”

Simply select an image from the Polaroid Originals app, place your handset on top of the machine, press a button, and voila! An instant photo (that you don’t need to shake).

Using a combination of mirrors, light, and “the unique Polaroid chemistry,” snaps are recast as instant pictures (via Polaroid)

The appliance uses a combination of mirrors, light, and “the unique Polaroid chemistry” to recast snapshots as a leave-to-develop, white-rimmed keepsake.

Starting in October, you can make pictures instead of just taking them with the $130 Polaroid Lab, compatible with iPhone 6S/iOS 11 and above, Android 7 or higher, and current Samsung, Huawei, Google Pixel, and One Plus models.

Sign up for the company newsletter “to get your hands on one first.”

*According to Polaroid, its new device is “not a printer, not a scanner, just an instant formula for timeless images.

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McDonald’s Plans to Serve AI Voice Technology at Drive Thru

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McDonald’s is slowly but surely eliminating humans workers from its fast-food equation.

Following the rollout of self-order kiosks and “personalized” menus, the burger empire plans to automate drive-thrus with its acquisition of Apprente.

The Silicon Valley startup, purchased for an undisclosed sum, was founded in 2017 to create voice-based platforms for multilingual, multi-accent, and multi-item conversational ordering.

Now, McDonald’s wants to use the system for faster, simpler, and more accurate order taking.

“Building our technology infrastructure and digital capabilities are fundamental … and enable us to meet rising expectations from our customers, while making it simpler and even more enjoyable for crew members to serve guests,” McD’s CEO Steve Easterbrook said in a statement.

It’s not entirely clear exactly how the Apprente tech will work; McDonald’s has already tested the automation solutions at select restaurants, but provided no further details.

“Apprente was born out of an opportunity to use technology to solve challenging real-world problems,” according to co-founder Itamar Arel. “And we’re thrilled to now apply this to creating personalized experiences for customers and crew.”

Arel & Co. will be founding members of a new in-house team called McD Tech Labs, expected to grow with the addition of engineers, data scientists, and other experts in the future.

While the initial focus will be to enhance McDonald’s drive thrus, the company aims to incorporate this technology into mobile ordering and kiosks.

“As we all know, technology can change by the day. And with that, so do our customers’ expectations,” a Golden Arches press release said. “We are committed to delivering the best possible experience for restaurant crew and our customers. And this is only the beginning.”

Earlier this year, McDonald’s purchased AI platform Dynamic Yield, teasing upcoming “personalized” menu options related to time of day, weather, current restaurant traffic, and trending items.

The electronic bill of fares even understands current service times, suggesting only those things that are easy to make during peak hours, in an effort to keep the drive thru running smoothly.

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Machine Learning Estimates Risk of Cardiovascular Death

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MIT researchers have developed a machine learning model that can estimate, based on the electrical activity of their heart, a patient’s risk of cardiovascular death.

The system, dubbed “RiskCardio,” was created by the Computer Science and Artificial Intelligence Laboratory (CSAIL) with the intention of better predicting health outcomes.

It focuses on folks who have survived acute coronary syndrome (ACS)—a range of conditions involving decreased flow to the heart. Just 15 minutes of a patient’s raw electrocardiogram (ECG) signal can produce a score that places people into different risk categories.

“We’re looking at the data problem of how we can incorporate very long time series into risk scores, and the clinical problem of how we can help doctors identify patients at high risk after an acute coronary event,” lead study author Divya Shanmugam said in a statement.

“The intersection of machine learning and healthcare is replete with combinations like this—a compelling computer science problem with potential real-world impact,” she added.

This isn’t the first machine-learning attempt at risk metrics; previous experiments have used external patient information like age or weight, or knowledge and expertise specific to the system.

RiskCardio, however, relies solely on patients’ raw ECG signal—with no added information.

Say someone checks into the hospital after an ACS: A physician would normally estimate risk of cardiovascular death or heart attack using medical data and lengthy tests before choosing a course of treatment.

MIT’s invention aims to improve that first step.

The team tested their model using data from a study of past patients, separating each person’s signal into a collection of adjacent heartbeats. They then assigned a label—”risky” for those who died of cardiovascular complications and “normal” for those who survived—to each set of beats.

When demonstrated on a new patient, CSAIL analysts were able to estimate whether someone would suffer from cardiovascular death within 30, 60, 90, or 365 days.

Moving forward, the team hopes to make the dataset more inclusive to account for different ages, ethnicities, and genders, and evaluate how their system accounts for ambiguous cases.

“Machine learning is particularly good at identifying patterns, which is deeply relevant to assessing patient risk,” Shanmugam said. “Risk scores are useful for communicating patient state, which is valuable for making efficient care decisions.”

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