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Thursday, June 8, 2017

Brain's hippocampus can organize memories for events as well as places 06-09







People organize memories in photo albums, journals or calendars, but how does the brain first put
events in order? Though a great deal of work has been done on how the brain encodes memory for locations, leading to the discovery of 'place cells' in the hippocampus, we still have relatively little understanding of how personally experienced, or episodic, memories are represented by neurons.

Now, researchers at Japan's RIKEN Brain Science Institute have found that the hippocampus can generalize, putting not just places but also events into sequence by changing the neural code in the rat brain. These 'event cells' discovered by the researchers may be a bridge linking information about the world with subsequent decision-making.

Neurons have two main ways they can signal to each other: by changing the timing or the frequency of their firing. In this study, Shigeyoshi Fujisawa and colleagues looked at how these two parameters changed while rats did a decision-making task based on certain combinations of smells and sounds. Using non-spatial stimuli presented in sequence was crucial to demonstrating that cells in the hippocampus also represent events, not just places. The study was published in the journal Neuron on June 8.

The research team recorded the combined activity of a large number of neurons in central hippocampal area CA1 while rats were engaged in choosing different sound-odor combinations to get a water reward. Many cells displayed elevated activity in response to one or both stimuli—often with a strong preference for one odor or sound versus the other—and retained this activation through the 'decision' phase, indicating that the inputs were being integrated by the brain and retained in a specific order to facilitate a subsequent choice.

The hippocampus is known to have a 'refresh rate' of around 8 Hz—the theta cycle— which guides how often neurons update their activity, a phenomenon called theta-cycle phase precession. The researchers were particularly interested in how this cyclic organization of information is modified by inputs, like a smell event followed by a sound event followed by a decision. Among the neurons that were responsive to smells, the theta phase precession occurred only for 'preferred' odors, followed by a locking of their activity to the theta cycle. This occurred for about 90 per cent of smell-sensitive cells, and was true for an equally high proportion of choice-sensitive cells.

On a more global scale, assemblies of hippocampal neurons can also form theta sequences, coordinated sequential activation patterns representing past, present and future locations during animal navigation. The authors investigated whether theta sequences were also formed by this cue-combination task. Such sequences were indeed present, and it was possible to 'decode' whether neural spikes at different phases of the theta cycle represented real-time inputs—the moments when the smell or sound event happened—or future periods—the decision-making moment. "Spikes that were locked to different phases of the cycle could even tell us if the rat had made a correct, rewarded choice or chosen the wrong cue combination," said Fujisawa.

Finally, the conditions of the experiment were reversed: the previously rewarding sound-odor combination became incorrect and vice-versa. Rats learned the new relationship after a few days, and their brain cell activity adapted too, exhibiting the phase precession and locking observed before the switch. "This neural reorganization reflects the sequence of the events and can be flexibly remapped," commented Fujisawa. "Cells that encode specific cues, combinations or choices can collectively represent an entire sequence of events when they become temporally organized with the hippocampal theta phase." The researchers surmise that the function of the hippocampus is to organize networks of relational elements, whether these are locations or events, as a mechanism underlying both episodic and spatial memory.

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Brain inspired Artificial Intelligence 06-09
















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Using Stem Cells to Heal Broken Bones 06-08




A promising new method for regenerating bones using the body's own stem cells may possibly eliminate the need for bone grafts.

When a fracture will not heal, people are typically left with two options.
One is bone grafting, the other is surgery.

A new treatment that uses gene and stem cell therapies could promise success with a less-invasive procedure.

Researchers led by a team from Cedars-Sinai Medical Center in Los Angeles, tested the therapy on laboratory animals and found that it triggered bones to regrow their own tissue.

If it is found safe in humans, the process could replace bone grafting as the gold standard treatment.
“We are just at the beginning of a revolution in orthopedics,” Dan Gazit, co-director of the Skeletal Regeneration and Stem Cell Therapy Program in the Department of Surgery and the Cedars-Sinai Board of Governors Regenerative Medicine Institute, said in a statement.

The study was published in the journal Science Translational Medicine.

Bone grafts can result in gaps between fracture edges, and often require surgery to relocate bone from other places in the body to fill in the spaces.

Bone can come from the patient or a cadaver.

But healthy bone isn’t always available, and surgeries can lead to other complications.

A stem cell solution


The new method involves implanting a collagen matrix made up of bone-inducing genes into stem cells.

It is inserted into the gap over a two-week span. An ultrasound pulse and microbubbles help the matrix get into the cells.

“Our method relies on the body’s own repair cells [stem cells],” Gadi Pelled, senior author, and an assistant professor of surgery at Cedars-Sinai, told Healthline. “We recruit them to the injury site and then activate them to regenerate bone in an efficient way.”

“The uniqueness of our method is that it is injectable and minimally invasive,” Pelled said.
Researchers found that the fractures were healed eight weeks after the procedure. The bone that grew into the empty space was as strong as surgical bone grafts.

“We showed that our method was equivalent, in terms of fracture healing, to the use of an autograft [bone graft obtained from the patient’s own body], which is the gold standard today,” Gazit said. “Our method does not require the harvest of bone, which often leads to prolonged pain and hospitalization and risk of infection, and that is our advantage.”

Stem cell concerns?


Because the process uses stem cells from the patient’s body without external manipulation, it may not face many of the hurdles that other stem cell treatments come up against.

“But obviously we will need to show that our method is not toxic and is safe to use in people before it is approved for use in the clinic,” added Zulma Gazit, PhD, co-director of the Skeletal Regeneration and Stem Cell Therapy Program in the Department of Surgery and the Cedars-Sinai Board of Governors Regenerative Medicine Institute.

Moving forward


In cases where there are large gaps or fractures unable to heal, the method can be repeated to grow more bone.

That’s something that will need to be reproduced in additional studies, but the latest study is the first to show that this ultrasound-mediated gene delivery can be used to treat nonhealing bone fractures, Pelled added.

David Forsh, an assistant professor of orthopedics at the Icahn School of Medicine at Mount Sinai, and chief of orthopedic trauma at Mount Sinai St. Luke’s, said the breakthrough needs to be reproduced before it goes mainstream.

Similar research has been conducted in the past, but the way this was done is something new, according to his knowledge.

“It sounds good,” Forsh told Healthline. “It’s very promising that they were able to achieve this.”

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Wednesday, June 7, 2017

What brands need to know about VR and AR [Infographic] 06-07



Virtual reality (VR) and augmented reality (AR) sound like great novelties on the surface, but what can these technologies do to help your brand? The answer might surprise you. According to this infographic, these experiences can do quite a lot to boost your brand, especially if you are in the business of selling products or experiences.

Product manufacturers and venues are already taking advantage of VR and AR technologies as part of their marketing strategy, and even retail stores are using AR to help customers find what they’re looking for.

This infographic, created by MDG Advertising, outlines some of the reasons brands should start paying attention to this emerging trend.

Virtual reality is finally coming into its own

After years of wait-and-see with VR and AR, tech companies are finally starting to make headway into creating experiences that consumers are responding to. Products like Google’s Daydream and Samsung’s Gear VR have opened the door to enable virtually anyone with a smartphone the chance to experience virtual reality from their smartphones.

Gaming consoles like Sony’s PlayStation even has a VR experience through Sony’s PlayStation VR. Oculus, which is now part of the Facebook family, is driving Facebook’s new Spaces experience where people can meet in a virtual environment.

Linden Lab, the creators of the still-popular virtual world Second Life are hard at work creating a whole new virtual world experience with VR at the forefront.

As for brands, hotels like Marriott are offering potential customers virtual tours of their hotels around the world, enabling them to preview their experience before booking their rooms.



Even product-oriented brands like Coca-Cola are using VR to raise brand awareness through providing fun experiences. Just last year, Coca-Cola showed off packaging that converts into a cardboard VR headset for smartphones.

Augmented reality is helping brands help their customers

Have you ever been lost looking for items in a retail store? We all have, but this is where augmented reality can change the game.

Aisle411 is already being tested with retailers like Walgreens and Toys”R”Us. It creates an augmented reality of sorts that shoppers can use like GPS navigation to get them to the product they’re searching for. A tablet mounted to the shopping cart, or the shopper’s own smartphone, this augmented reality experience makes life easier for the shopper, and that is always best for business.
In addition to announcing better support for Virtual Reality at WWDC this week, Apple unveiled a ARKit, a new development platform for creating augmented reality experiences in iOS. This is a big step as Apple has long been considered the tipping point for augmented reality to really take a leap forward.

The success of Niantic’s Pokemon Go last year introduced a lot of new people to the concept of augmented reality. It remains a fun, and addicting game, but the implications of its success were that brands everywhere became aware that augmented reality is well within reach.



Tuesday, June 6, 2017

Survey for scaling up Digital Technology 06-07






ARM’s new processors are designed to power the machine-learning machines 06-06

ML plus AI, AR, and VR — ARM is taking on the full set of trendy initialisms


On the eve of Computex, Taiwan’s big showpiece event where PC makers roll out the latest and best implementations of Intel CPUs, mobile rival ARM is announcing its own big news with the unveiling of a new generation of ARM CPUs and GPUs. Official today, the ARM Cortex-A75 is the new flagship-tier mobile processor design, with a claimed 22 percent improvement in performance over the incumbent A73. It’s joined by the new Cortex-A55, which has the highest power efficiency of any mid-range CPU ARM’s ever designed, and the Mali-G72 graphics processor, which also comes with a 25 percent improvement in efficiency relative to its predecessor G71.

The efficiency improvements are evolutionary and predictable, but the revolutionary aspects of this new lineup relate to artificial intelligence: this is the first set of processing components designed specifically to tackle the challenges of onboard AI and machine learning. Plus, last year’s updates to improve performance in the power-hugry tasks of augmented and virtual reality are being extended and elaborated.

Before we dive into the detail of this year’s changes, it’s worth recapping what ARM does and why it’s important. This English company, now owned by Japan’s SoftBank, is responsible for designing the processor architecture of practically every mobile device — you’ll have heard of Qualcomm’s Snapdragon, Samsung’s Exynos, and Apple’s A-series of mobile chips, all of which are built using ARM’s instruction sets and based on ARM’s design blueprints. When we talk about the oncoming wave of mobile AI, mobile VR, and smartphones that can perform machine-learning tasks without sending them off to processor farms up in the cloud, developing the capabilities for those tasks starts with ARM. 



The new Cortex-A75 and A55 are the first Dynamiq CPUs from ARM. Dynamiq is the branding chosen to describe a much more flexible set of design options for silicon vendors like Qualcomm. Where previously ARM allowed for designs that paired a cluster of so-called big CPUs (from its A7x class) and a matched number of little CPUs (from the A5x series), the new design makes it possible to spec a single, mixed-up cluster composed of both big and little CPUs, to a maximum of eight. Thus, chip makers can now have, for example, seven little A55 cores and just one big A75 one: for a favorable mix of long battery life, cost efficiency, and a high ceiling of single-threaded performance when it’s called for.


A RM marketing chief John Ronco says he anticipates a "50x improvement in AI performance over the next three to five years thanks to better architecture, micro-architecture, and software optimizations." ARM’s Dynamiq changes include a redesigned memory subsystem and tweaks to how CPU caches work — which has led to a doubling of memory streaming performance on the A55 relative to the A53 preceding it. Given that the A53 has shipped on 1.7 billion devices over the past three years, it’s truly the A55 that will make the biggest difference in achieving Ronco’s ambitious forecast. In most applications, the new mid-range core will be 10 to 30 percent better than previously, offering up to 15 percent better power efficiency and 18 percent better single-thread performance.

But it’s the fact that the new chip designs will be 10 times more configurable, with up to 3,000 different configurations, that will allow chipmakers far greater flexibility to make the most of them by tailoring them to specific tasks.



Interestingly, ARM won’t just be powering machine learning with its new chips, it’ll benefit from ML too. The new designs benefit from an improved branch predictor that uses neural network algorithms to improve data prefetching and overall performance.

The Cortex-A75 makes double-figure performance improvements across the board, with ARM claiming it’s on average 22 percent better than the A73, with 16 percent higher memory throughput, and a 34 percent improvement in its Geekbench score. Single-threaded performance, according to ARM’s Ronco, is up by 20 percent, purely by improving the instructions-per-clock efficiency. The A75 chip is roughly 2.5x the size of the A55, and its intended uses are for infrastructure, automotive, and rich mobile applications. Yes, that means VR, AR, and high-fidelity games, the latter of which ARM’s research has shown have been rapidly increasing in popularity.

A major architectural change with the A75 is the opening of a larger power envelope for chips using this core, scaling up to 2W of power consumption, and thus offering up to 30 percent of extra performance on larger-screen devices. This is entirely targeted at the upcoming Windows on ARM reboot, expected later this year. It’s worth noting that in ARM’s world a "large" screen basically amounts to a laptop — and the company set up a dedicated Large Screen Compute division a year and a half ago to more aggressively target the clamshell devices that Intel has been dominant in. 



As to the new Mali GPU, it has 32 shader cores, 25 percent higher energy efficiency, and a 20 percent better performance density (aka performance per mm² of space). The Mali-G72 is at the heart of ARM’s push toward improving machine learning efficiency, and ARM claims it’s showing itself to be 17 percent better than the G71 in ML benchmarks. The design optimizations from the company are tailored to accelerate inference engines rather than training engines — that’s to say ARM chips will be best at using accumulated ML capabilities rather than developing them, which makes perfect sense for mobile applications. Training AI will be a task better left to Nvidia and AMD graphics cards or Google’s custom TensorFlow TPUs.

The Cortex-A75 and A55 designs were released to ARM’s partners at the end of 2016, so by this point, they’ve all had a few months to decide what to do with them. ARM says a "realistic time window" for new mobile devices powered by its latest designs would be the first quarter of 2018 — though the company is also conscious of a new phenomenon it describes as "China speed," where Chinese phone vendors will put its designs into products almost immediately. The Huawei Mate 9, for example, was released just eight months after ARM distributed the Mali-G71 to partners. This faster Chinese cadence could lead to some A75- and A55-based designs this year, but then bulk of them are likely to arrive with the usual smartphone refresh cycle early next year.



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A New Antibiotic Multitool Could Beat The Toughest Bacteria 06-06