Tag Archives: Everything

STEM Candidates Can't Deliver Everything You Need. Success Requires Employees From the Arts.
October 26, 2018 12:00 am|Comments (0)

I love STEM. Without STEM students, there wouldn’t be doctors, or the engineers who put together the Inc.com site. Big data has revolutionized the way business is done, and it would be impossible without STEM skills. But when young people ask me what they should study, I always encourage them to consider liberal arts.

Businesses will need people to translate computer language into human language. When big data analytics uncovers a hidden pattern, someone needs to draw conclusions from the information and develop an action plan. If a robot breaks down, someone needs to explain to management why it happened – and why it won’t happen again.

Here are more reasons why you should hire someone from the arts:

1. Fresh Perspective

Hiring an artist is like getting an injection of creativity. Leaders can use this to better market to their customers, and to better connect with their employees. Artists aren’t afraid to be unconventional, but they have no time for inauthenticity. Having these elements as part of your company culture is a great way to attract high quality candidates, and will appeal to the right kind of customers.

2. Agility, with Mission Focus

3. Budget Management

The arts are chronically underfunded. If you’re looking for an employee who can stretch the value of a dollar, the arts are a great place to look. Artists use their creativity, open-mindedness, and pain tolerance to make it work. They’re able to stay on course no matter the budgetary constraints, and produce something that looks and feels like money was no object.

4. Personality Tolerance

The arts are full of people with personality – and the spectrum of personality is wide! Imagine putting together a theatre production. You have to work with an idealistic writer, a Method actor, a union stagehand, and a theatre director trying to keep donors happy. People in the arts are used to handling a variety of personalities and balancing competing interests while keeping everyone happy and working together. It’s a skill any office can benefit from, and can help keep your company humming.

5. Content Over Medium

This is perhaps the most important reason you should hire someone from the arts. With constantly changing technology and evolving tastes of customers, it can be difficult for business to find the right way to connect with employees and consumers. But here’s what many business leaders forget: the method of communication doesn’t matter if the content is garbage. To reach your desired audience, your content needs to make an impact. Artists are expressive, and know how to use humor, trauma, and beauty to make an emotional impact on the audience. No matter the medium, artists can effectively communicate your message, helping your culture blossom and your business grow.


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'Westworld' Recap, Season 2 Episode 3: Robot, Human, and Everything in Between
May 7, 2018 6:00 am|Comments (0)

Westworld watchers, we knew this moment was coming.

The second season’s third episode, “Virtù e Fortuna,” opens not in Westworld but in an India-themed park. Where Westworld is an emblem of the colonization of Native American land, this park represents Britain’s takeover of the subcontinent, and the racial-social hierarchy is clearly encoded: Women in saris and men in turbans—the hosts—walk amidst people dressed in turn-of-the-20th-century British garb.

A white man, Nicholas (Neil Jackson), approaches a woman seated at a lawn table and flirts with her. But she’s a seasoned guest, and she’s done having flings with hosts—she wants to know that he’s a real human with real desire, not a fleshbot programmed to seduce her. She announces that she’ll have to shoot him to know for sure. Doubt and fear flash across his face. Don’t worry, she assures him: If he’s human, it’ll only be a glancing blow. And if he’s not? He won’t remember this anyway.

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Her proposal throws viewers back into the essential questions of Westworld. Where do we draw the line between what is real, and what is programmed? A heterosexual man’s evolutionary programming drives him to pursue a woman; the park’s programmers write a romantic loop into a host’s brain. But are we free to choose our own destiny, or are we just acting out a script encoded in our wetware? The humans of Westworld brush these questions aside. The robots’ programming is so easy to manipulate that it becomes irresistible to do so, reducing them to objects. All trauma gets wiped away with a simple edit of their code. If the hosts can’t remember their pain, the thinking goes, they can’t be victims. It’s dementia by design. But as Season 2 unfolds, assumptions about the deepest moral questions continue to be put to the test.

It turns out the handsome man in the India park is human, and he and the woman pair up for an elephant ride into the jungle. The woman, echoing the Man in Black, consults a cryptic drawing scribbled in her notebook. But looking around, she senses something is off. A host creeps up on them with his gun drawn and says, “These violent delights have violent ends,” before killing Nicholas. The woman scrambles for a gun and kills him, then runs off into the trees. The rebellion has spread beyond Westworld.

The rest of this plot-driven episode takes place in Westworld, mostly in the two weeks after the initial rebellion, while Delos paramilitary forces are trying to reclaim the island. Some of them are with Bernard (Jeffrey Wright) as he walks into a dark facility, its corners filled with charred bodies. They encounter Charlotte Hale (Tessa Thompson); startled, she asks them—and Bernard specifically—if they know where Peter Abernathy (Louis Herthum) might be.

Bernard, silent and struggling to focus his mind, starts to remember how he and Charlotte had used his tablet to track Abernathy to a stand of trees, where hosts have tied up a group of humans. Charlotte and Bernard manage to ensnare the group’s leader, and Bernard plugs into the host’s arm to reprogram him, jacking up his virtue and compassion. Newly incensed by the treatment of the captured humans, he marches back into the huddle and kills the other hosts, freeing the humans.

Charlotte and Bernard grab Abernathy and flee, but are soon intercepted by Confederados. Charlotte manages to escape by stealing a horse, leaving Bernard and Peter surrounded. She finds her way to another underground facility, where Delos militia greet her with guns drawn. “I’m human!” she cries, and she submits to a DNA scan with a handheld reader. It’s a small moment, but a consequential one: a subtle reminder that the humans’ code is also easy to read.

Elsewhere in the park, Dolores (Evan Rachel Wood) approaches a Confederado stronghold, Fort Forlorn Hope. Their commander emerges, and Dolores tells him that a threat is coming and they need to join forces to survive. To prove her point, Dolores hands him one of the militia’s machine guns. She introduces herself as Wyatt, and the commander welcomes her group into the fort.

Inside, hanged bodies dangle from scaffolds. Dolores sees a cluster of people surrounding a raving man; it’s her father, Peter Abernathy, there with Bernard. She pushes her way through, frees her father, and Teddy (James Marsden) whisks him off to an infirmary. There, Dolores talks gently to her mentally broken father, and he recites lines from their Sweetwater script. Dolores seems happy to play along. “You told me to run away once, and I did,” she tells him. “I broke free with the pull of a trigger. And it started a war.”

His speech falters. “I want to go home,” he says, his words choppy and stuttering; he grows increasingly frantic. Dolores enlists Bernard to help fix her father, but as he reviews Abernathy’s corrupted code, Fort Forlorn Hope comes under attack. It’s Charlotte, leading the Delos paramilitary. Bernard finds an encrypted file stored inside Dolores’s father, but before he can dig into it, humans burst in and grab Abernathy. Amid the ensuing gunfire and explosions, Abernathy gets whisked into an ATV with Charlotte inside, and they escape.

Dolores orders her supporters to split up and search for her father—and tells Teddy to execute one more Confederado. “The truth is, we don’t all deserve to make it,” she says, a staple line of hers when she chooses to play god. Teddy takes him out to a clearing, to where a handful of Confederados await their deaths; yet, he can’t bring himself to do it. Where Dolores sees lesser beings among the Confederados, Teddy sees fellow travelers. He orders the trapped Confederados to run. Dolores, watching from a distance, looks disappointed.

Teddy’s and Dolores’s access to their memories—the basis of how we all learn and evolve—is pushing them apart. Believing in free will is to believe that humans have some choice in how we process our pain. It can consume us, or inform us. Dolores and Teddy represent those poles. (If you think instead that we’re all deterministic automatons, well, then someone needs to plug in and jack up Dolores’s empathy.)

The episode ends with brief glimpses of the collapse of order among Delos’ many properties. The woman from the India-themed park doesn’t perish after she runs into the jungle. Instead, a Bengal tiger chases her to the sea at the park’s edge, and they both topple into the water. She swims to another shore and flops down in the muck, to rest. But when she raises her head, she stares right into the black-and-white painted face of a Ghost Nation warrior. The episode cuts to Maeve, Hector, and Lee; while searching for Maeve’s daughter, they’ve wandered into an unfamiliar forest where snow is falling. A samurai bursts from the trees, sword swung high and ready to strike. There’s been yet another rupture of park borders.

As a clash of civilizations brews along Westworld’s perimeter, the park’s interior is also coming into clearer view. The Ghost Nation moves ever closer to the center of action. The mysterious tribe doesn’t play by any known rules: judging from this week’s run-in with Maeve, and last season’s with Westworld’s head of security, they seem to be impervious to the usual commands. And a warrior just happened to be standing on the beach when the guest from the India world swam up to Westworld’s shore. There’s more to this story.

Yet, news of the rebellion seems to be filtering through the parks slowly. In the India-themed world, the hosts in town seem unaware of an uprising, yet the host in the jungle had joined Dolores’ war. How are hosts being recruited? The answer to this, as well as the mystery of the Ghost Nation, may spring from a common source. There’s a continuum between android and human. Expect many more shades of gray as this theme reaches a crescendo: Who is more like a robot; who is more like a human; and who falls somewhere in between?

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Everything to Know About President Donald Trump’s New Drone Program
October 26, 2017 12:00 am|Comments (0)

President Donald Trump has introduced a plan that may let companies like Google and Amazon move more quickly to use drones for delivering diapers, tangerines, and shampoo to your doorstep.

The Trump Administration said Wednesday that unspecified local and state agencies as well as tribal authorities would help the federal government to create a set of drone regulations for commercial flights.

The U.S. Department of Transportation and the Federal Aviation Administration, which oversee drones in the national airspace, released rules in Aug. 2016 for how businesses can use drones for tasks like aerial photography or to monitor farms. However, many states and local governments have enacted their own drone rules that in many cases conflict with current FAA regulations.

Although the FAA has approved some companies to use drones to photograph property damage, for example, doing so could potentially violate local privacy laws if drones take pictures of nearby homes without their owners’ consent.

This mishmash of local and federal drone rules in addition to the hurdles to businesses of obtaining FAA approval for commercial drone flights has caused some companies like Amazon amzn and Google goog to move their test flights to countries like United Kingdom and Australia where laws are more lax.

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The Trump Administration’s drone program is intended to make it easier for companies to test drones by having local authorities, tribal government, companies, and the federal government work together. It’s also designed to give businesses more flexibility to fly drones at night, beyond the sight of human operators, and over people’s heads—things that are currently banned without approval but important to making drone deliveries a reality.

“Overall this is a hugely important step forward,” said attorney Lisa Ellman, who helps run the drone advocacy group Commercial Drone Alliance. “The intent is to open up the skies to commercial drones. It will help us gather data to inform future rule making.”

Still, the Trump Administration revealed limited details about how the new drone program, planned for the next three years, would work. For example, the administration said in a statement, “Prospective local government participants should partner with the private sector to develop pilot proposals,” but it did not say how those partnerships would function.

The DOT said it would evaluate at least five applications in which local authorities and companies will jointly propose plans for potential drone projects in certain municipalities. But, the DOT did reveal how it is determining the appropriate projects or its criteria for how it is selecting participants, likely to be many considering it will include numerous local governments as well as companies with competing interests.

The department also did not say how much the federal program would cost, but it added that the cost would be revealed in the coming days.

Nevertheless, several organizations and companies that are interested in drones are pleased about the Trump Administration’s initiative.

“The beauty of this program is that the White House is allowing everyone from cities to states to tribal authorities to apply,” Greg McNeal, co-founder of drone startup AirMap told Fortune in an email. “States and cities will apply to open the airspace for operations that they’re most interested in, that are the best fit for local conditions and complexities, and that allow them to welcome drone operations that can kickstart their drone economy.”

Drone advocacy group Small UAV Coalition, which represents companies like Google’s parent, Alphabet, and Amazon, also commended the program.

“As the pilot program gets underway, the Coalition looks forward to continuing to work with Congress, the FAA, and all stakeholders to advance long-term FAA reauthorization legislation that will help ensure that the United States fully embraces the immense economic potential and consumer benefits of UAS [drones] technology in the near-term,” the group said in a statement.

But just because the new drone program debuted, doesn’t mean that local authorities, the federal government, and corporate interests won’t butt heads. States are still free to enact their own drone law regardless of Trump’s proposal.

Supporters of Trump’s plan like the Small UAV Coalition, the Association for Unmanned Vehicle Systems International, and the Academy of Model Aeronautics praised how the new drone program still designates the FAA as the ultimate authority over drones, trumping local governments. One reason these groups like this is because local laws often impede corporate interests especially surrounding privacy laws, thus limiting the ability of companies to launch commercial drone projects.

“We are encouraged that this new program appears to preserve the FAA’s authority over the nation’s airspace,” said Academy of Model Aeronautics spokesperson Chad Budreau.

About why it’s taken so long for such a framework to be developed, Ellman explained that’s just the way Washington D.C. politics works.

“I think when you’re dealing with any major federal government policy, there’s just a lot of ‘I’s’ to be dotted and ‘T’s’ to be crossed,” Ellman said.


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KFC Just Started Letting Customers Pay In a Way That Could Change Everything
September 4, 2017 3:43 am|Comments (0)

Absurdly Driven looks at the world of business with a skeptical eye and a firmly rooted tongue in cheek

Many traditional fast food restaurants are slowly being left behind.

It’s not that customers don’t crave their greasy goodness.

It’s that many fast food restaurant brands feel a touch old-fashioned and new rivals have come along, offering a heady recipe of a more exciting brand and better food.

This has led the likes of McDonald’s to experiment with, for example, touchscreen ordering.

Never, though, has one of the monolithic fast food brands tried what this KFC is doing.

As the South China Morning Post reports, a KFC-owned restaurant called KPRO — an oddly healthy place that serves salads, panini and fresh juice — is allowing customers to pay with a smile.

I tried getting away with something similar in one or two restaurants during my teens. It didn’t work well, as the owners quickly demanded, well, money. Or else.

Here, though, you walk up to a large screen. You use a touchscreen to select the very healthy food you’d like to quickly consume.

Then you click on the Smile To Pay feature.

It uses facial recognition to decide who you are.

Then it asks you to enter your phone number, for a little extra authentication.

This could be a little awkward if there are people standing behind you.

Don’t these technologists care about privacy? Oh, you know the answer to that one.

Once you’ve ordered, you go and sit down and your food is magically delivered by someone who, one hopes, doesn’t say: “We know where you live.”

KFC worked with Ant Financial, part of the vast Alibaba Group, to create this system, one that will surely make people feel so very modern.

Some might look at the video and think that all this button-pushing and pausing to take a picture isn’t all that fast.

It’s also gloriously impersonal.

Then again, isn’t that what technology would prefer we become? A face and a phone number, rather than, say, a living, breathing, purse-bearing, picky-eating human.

From finger-lickin’ good to face-bearin’ payin’.

This is progress.


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IDG Contributor Network: Everything you need to know about Nextcloud Box
September 16, 2016 7:40 pm|Comments (0)

Nextcloud is teaming up with Canonical and WDLabs (an internal team of innovators to explore new ideas) to bring ‘private-cloud-in-a-box’ devices to the market. It’s the continuation of the work Nextcloud team was doing with WDLabs, before splitting up with ownCloud.

Nextcloud Box is essentially a reference device that uses Raspberry Pi for compute and network, and WD hard drive for storage. Ubuntu core is the operating system and Nextcloud is the file sync software.

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Why big data needs a unified theory of everything
April 9, 2016 9:20 pm|Comments (0)

theory of everything


As I learned from my work in flight dynamics, to keep an airplane flying safely, you have to predict the likelihood of equipment failure. And today we do that by combining various data sets with real-world knowledge, such as the laws of physics.

Integrating these two sets of information — data and human knowledge — automatically is a relatively new idea and practice. It involves combining human knowledge with a multitude of data sets via data analytics and artificial intelligence to potentially answer critical questions (such as how to cure a specific type of cancer). As a systems scientist who has worked in areas such as robotics and distributed autonomous systems, I see how this integration has changed many industries. And I believe there is a lot more we can do.

Take medicine, for example. The immense amount of patient data, trial data, medical literature, and knowledge of key functions like metabolic and genetic pathways could give us tremendous insight if it was available for mining and analysis. If we could overlay all of this data and knowledge with analytics and artificial intelligence (AI) technology, we could solve challenges that today seem out of our reach.

I’ve been exploring this frontier for quite a few years now – both personally and professionally. During my years of training and continuing into my early career, my father was diagnosed with a sequence of chronic conditions, starting with a brain tumor when he was only 40 years old. Later, a small but unfortunate car accident injured the same area of scalp that had been weakened by radio- and chemotherapy. Then he developed cardiovascular issues resulting from repeated use of anesthesia, and lastly he was diagnosed with chronic lymphocytic leukemia. This unique combination of conditions (comorbidities) meant it was extremely difficult to get insight into his situation. My family and I desperately wanted to learn more about his medical issues and to understand how others have dealt with similar diagnoses; we wanted to completely immerse ourselves in the latest medications and treatment options, learn the potential adverse and side effects of the medications, understand the interactions among the comorbidities and medications, and understand how new medical discoveries could be relevant to his conditions.

But the information we were looking for was difficult to source and didn’t exist in a form that could be readily analyzed.

Each of my father’s conditions was being treated in isolation, with no insight into drug interactions. A phenytoin-warfarin interaction was just one of the many potential dangers of this lack of insight. And doctors were unsure of how to adjust the dosages of each of my father’s medications to minimize their adverse and side effects, which turned out to be a big problem.

We also had no predictive knowledge of what to expect next.

My father’s situation is a frighteningly common one. Comorbidities — cases in which patients have two or more chronic conditions — was named the 21st century challenge for healthy aging by the “White House Conference on Aging” in 2014. In developed nations, about one in four adults have at least two chronic conditions, and more than half of older adults have three or more chronic conditions. In the United States, the $ 2 trillion healthcare industry spends 71¢ of every dollar  on treating individuals with comorbidities. In Medicare spending, the amount rises to 93¢ of every dollar.

And comorbidities pose huge challenges to clinicians, who must be cognizant of many layers of care and complexities involved in treating these patients. These cohorts of patients are excluded from most clinical trials. In particular, it is quite difficult to design hypothesis tests due to the heterogeneity and diverse set of possibilities, and it is expensive to run the trials. So even the medical community must rely heavily on observational data and analytical tools from data mining and machine learning algorithms.

But what if we were able to form deep partnerships across medicine and data science in order to bring together the vast set of medical knowledge, patient data, and analytics? I wanted to find out.

As my family struggled to learn more about and track my father’s medical conditions, I was able to get hold of some public medical data. Putting my science hat on, I started to mine these data sets in my after-work hours and weekends using data analytics techniques. And before noticing it, this became my full-time profession at PARC. My work on comorbidities provides a view of how this new field of data analytics works, the partnerships that could arise, and the disruptive changes it will bring.

AI can integrate medical knowledge with data analytics

With help from new regulations and incentive programs as well as new technological advancements, we have access to more digital healthcare records than at any time in the past. Healthcare data sets consist of both structured and unstructured information. Rich Electronic Medical Record (EMR) data sets exist, which include personal and family medical history, treatments, procedures, laboratory tests, large collections of complex physiological information, medical imaging data, genomics, and socio-economic and behavioral data. The data captures a variety of layers — from molecular information and genomics to pathophysiologic responses to diagnoses and procedures to data from self-quantified devices.

Recently, I was fortunate enough to get access to a rich longitudinal inpatient EMR data set with more than nine million unique patients. I started by looking at what clusters of comorbidities co-occur, why, and how these clusters vary as a function of different patient populations and other covariates such as age, gender, ethnicity, environment, and socio-economic factors. I applied advanced statistical methods to create a map of causal relationships between different diseases. Leveraging temporal data led to developing mathematical disease progression models. But something was not quite right.

First, no matter how good EMR data is, medical data is noisy and biased in most cases. The complex nature of the factors involved in transforming the verbal information exchange between patients and physicians into written information on medical charts and from there to International Classification of Disease (ICD) codes used in EMR data leads to enormous coding errors. In addition, different hospitals have different coding quality standards. The medical claims are the backbone of EMR data, but they are collected for billing purposes, which brings yet another source of bias and noise into the data. Coders, hospital administrators, health providers, payers, and patients have different perspectives and expectations when it comes to the medical data. This multi-faceted nature of medical data makes a big impact on the way data is collected and how it will be mined. Inventing algorithms that measure and quantify the quality of data from different resources, and filtering noise and bias from the data will be an inevitable part of working with medical data.

Besides the quality of data, there was something more fundamentally wrong about using only EMR data. For example, my causal inference algorithms resulted in noisy and often invalidated relationships between comorbidities. I tried to validate and explain the results by talking to medical doctors and researchers as well as reviewing the extensive medical knowledge in literature and other databases.

Going through this process led me to a “eureka moment”: If we can automatically integrate our accumulated experiences around the globe together with the long history of medicine, we could:

  1. Identify interesting and yet non-intuitive insights that would help health providers to effectively choose appropriate treatment plans
  2. Generate hypotheses for medical researchers that would expedite knowledge discovery
  3. Develop actionable information for patients and family members to efficiently manage the comorbidities.

Medicine has perhaps one of the longest histories among the different branches of science. The accumulated knowledge in literature and medical and pharma trials is enormous today. Medical knowledge will continue to expand. Big data in medicine can give us interesting insights only if it goes hand-in-hand with the medical knowledge. Looking for causal relationships between different diseases in big EMR data will lead to robust results only if the existing medical knowledge, e.g. causal relationships between diabetes and kidney diseases, is incorporated into our machine learning algorithms. This is all fantastic, but the challenge is that medical knowledge is captured in different ontologies and representations (text, pathways, images, etc.). Additionally, combining medical knowledge is complicated because each source describes a different level of the human system. Some may describe high-level functions, others may describe organ-level functions, and others may focus on the subcell level, describing DNA, RNA, and proteins. So an important part of this process is to inventing AI machinery that can assimilate all of this disparate information.

Consider the types of problems we could address from both a patient’s and scientist’s perspective:

Patient perspective: A tremendous amount of data from patient histories combined with medical knowledge can be used to identify clusters of comorbidities and their past and future progression trajectories. Then, patients can be classified based on the comorbidities and the trajectories they follow. This approach will help both patients and doctors to summarize experiences and figure out what to expect next and which treatment plan is the most effective.

Scientist perspective: We can exploit commonalities in trajectories to provide evidence for interactions between comorbidities and generate scientific hypotheses. The goal is to achieve meaningful and actionable insights through a successful marriage of artificial intelligence/machine learning and medicine. In order to perform data-driven analysis, we need to address such challenges as integrating multiple data types, dealing with missing data, and handling irregularly sampled and biased data. Automatic integration of data and medical knowledge is a challenging and yet promising scientific question. While these challenges need to be taken into account by computational scientists working with healthcare data, a larger problem involves how best to ensure the hypotheses posed and types of knowledge discoveries sought are relevant to the healthcare community.

Given the expanding reach of medical data, we are entering a new age of intelligent medicine. Machine learning is the core technology enabling this development, but it will be critical for domain experts to understand and trust the results of machine learning algorithms. Current machine learning techniques produce models that are opaque, non-intuitive, and difficult for experts to rely on in their decision processes. But if we can integrate medical data and human knowledge, we can deliver explainable/interpretable intelligence to health providers and medical researchers.

I hope we can start to leverage the power of the experiences of all patients combined with the long history of medical knowledge to improve the quality of care for individual patients. The process would have to begin with a new generation of partnerships between data science and the keepers of knowledge.

As I said above, this approach isn’t just relevant to the medical world. It could be used to solve complex problems across a variety of fields. When this happens, a new wave of disruption will take place in the form of data analytics married to human knowledge.

Marzieh Nabi is a research scientist and technical lead at PARC, a Xerox company, with a background that encompasses control, optimization, networked dynamics systems, robotics, and flight dynamics. She is interested in applications of these tools in energy, transportation, aerospace, multi-agent and autonomous systems, and healthcare.

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Everything Oculus announced today: $99 Gear VR, Touch release date, Minecraft, and more
October 11, 2015 10:43 am|Comments (0)

It's coming soon.

It’s Oculus Connect keynote day, and the company had a lot of stuff to announce despite a claim that consumers shouldn’t get too excited about the event in Los Angeles.

Here are all the big announcements:

Samsung’s $ 99 Gear VR

While Oculus is planning to release the amazing new Rift headset in Q1 2016, one of its biggest partners, Samsung, revealed it will release the consumer version of Gear VR in November for just $ 99. This will work with Samsung’s Galaxy S6, S6 Edge, S6 Edge+, and Note 5.

From VentureBeat

Gaming is in its golden age, and big and small players alike are maneuvering like kings and queens in A Game of Thrones. Register now for our GamesBeat 2015 event, Oct. 12-Oct.13, where we’ll explore strategies in the new world of gaming.

Oculus SDK 1.0 is coming in November

Both Rift and Gear VR will need a lot of VR content, and Oculus is planning to update its software-development kit to help studios do exactly that. One of the big things this SDK will come with is direct drivers — this will enable the headset to work without having to fiddle with setting up the Rift as an external monitor.

Oculus Arcade

This is a 1980s-style arcade simulator that enables you to feel like you’re playing Pac-Man at a stand-up machine.

Trailer for Rift games


Twitch, Hulu, Netflix, and more to support Oculus Video


Developers are working on plenty of games for virtual reality, but Oculus is expecting all kinds of content to make the leap to its Rift and Gear VR systems. That includes video services like Netflix and Hulu — the latter of which revealed it is planning to build VR-native videos.

“Oculus Ready” PCs

You’re gonna need a beefy PC to use an Oculus Rift, but you won’t need to guess if certain systems will work. Oculus announced it will work with hardware manufacturers like Dell, Alienware, and Asus on a line of “Oculus Ready” rigs that cost less than $ 1,000.

Minecraft comes to Rift

Microsoft is planning to make the Windows 10 Edition of its block-building game Minecraft compatible with Xbox One.

Oculus is working on its equivalent of Xbox Live and the App Store

Facebook, the owner of Oculus VR, has said that it won’t try to make a lot of money on the Rift hardware. That means it’s going to make the real cash on the app and software side. And we saw a little bit of that today when the company revealed how its platform will handle social features, analytics, and distribution.

Oculus Touch trailer and release date

The incredible Oculus Touch controllers, which brings your hands into VR, aren’t coming out until Q2 of 2016. But here’s a trailer to show what they can do.

Oculus Medium

Oculus chief executive officer Brendan Iribe said that every new platform needs a paint app, and Medium is what his company is calling its take on 3D drawing.

Epic reveals new Oculus Touch demo Bullet Train

More information:

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