2017年5月19日 星期五

Google thinks it has cracked the VR adoption problem

當蘋果(Apple)在2001年首度發布其數位音樂播放器iPod時,創辦人史蒂夫‧賈伯斯(Steve Jobs)是這樣介紹的:這款iPod「可以把1000首歌放進口袋裡」。

For most consumers, virtual reality is still a technology of the future. Google hopes that by making the virtual world more convenient and accessible, more people will want to dive in.

It’s launching a high-end wireless headset and new software improvements…

2017年5月18日 星期四

Google和NVIDIA (Volta 第7代 GPU 架構)的人工智慧晶片之戰,Intel on the outside:The rise of artificial intelligence is creating new variety in the chip market, and trouble for Intel


Volta 到底有多強?作為NVIDIA第7代 GPU 架構,它集成了210億顆晶體管,具有 5120 個 CUDA 處理內核,可以和100台 CPU 在進行深度學習處理上的性能相抗衡;相比起前一代的Pascal ,它有了5倍的性能提升,比起兩年前的Maxwell 架構,性能提升15倍!

NVIDIA 再丟核彈震撼業界:效能同 100 顆 CPU,第七代 GPU「Volta」登場! - INSIDE 硬塞的網路趨勢



Intel on the outsideThe rise of artificial intelligence is creating new variety in the chip market, and trouble for Intel

The success of Nvidia and its new computing chip signals rapid change in IT architecture

“WE ALMOST went out of business several times.” Usually founders don’t talk about their company’s near-death experiences. But Jen-Hsun Huang, the boss of Nvidia, has no reason to be coy. His firm, which develops microprocessors and related software, is on a winning streak. In the past quarter its revenues increased by 55%, reaching $2.2bn, and in the past 12 months its share price has almost quadrupled.
A big part of Nvidia’s success is because demand is growing quickly for its chips, called graphics processing units (GPUs), which turn personal computers into fast gaming devices. But the GPUs also have new destinations: notably data centres where artificial-intelligence (AI) programmes gobble up the vast quantities of computing power that they generate.

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Soaring sales of these chips (see chart) are the clearest sign yet of a secular shift in information technology. The architecture of computing is fragmenting because of the slowing of Moore’s law, which until recently guaranteed that the power of computing would double roughly every two years, and because of the rapid rise of cloud computing and AI. The implications for the semiconductor industry and for Intel, its dominant company, are profound.
Things were straightforward when Moore’s law, named after Gordon Moore, a founder of Intel, was still in full swing. Whether in PCs or in servers (souped-up computers in data centres), one kind of microprocessor, known as a “central processing unit” (CPU), could deal with most “workloads”, as classes of computing tasks are called. Because Intel made the most powerful CPUs, it came to rule not only the market for PC processors (it has a market share of about 80%) but the one for servers, where it has an almost complete monopoly. In 2016 it had revenues of nearly $60bn.
This unipolar world is starting to crumble. Processors are no longer improving quickly enough to be able to handle, for instance, machine learning and other AI applications, which require huge amounts of data and hence consume more number-crunching power than entire data centres did just a few years ago. Intel’s customers, such as Google and Microsoft together with other operators of big data centres, are opting for more and more specialised processors from other companies and are designing their own to boot.
Nvidia’s GPUs are one example. They were created to carry out the massive, complex computations required by interactive video games. GPUs have hundreds of specialised “cores” (the “brains” of a processor), all working in parallel, whereas CPUs have only a few powerful ones that tackle computing tasks sequentially. Nvidia’s latest processors boast 3,584 cores; Intel’s server CPUs have a maximum of 28.
The company’s lucky break came in the midst of one of its near-death experiences during the 2008-09 global financial crisis. It discovered that hedge funds and research institutes were using its chips for new purposes, such as calculating complex investment and climate models. It developed a coding language, called CUDA, that helps its customers program its processors for different tasks. When cloud computing, big data and AI gathered momentum a few years ago, Nvidia’s chips were just what was needed.
Every online giant uses Nvidia GPUs to give their AI services the capability to ingest reams of data from material ranging from medical images to human speech. The firm’s revenues from selling chips to data-centre operators trebled in the past financial year, to $296m.
And GPUs are only one sort of “accelerator”, as such specialised processors are known. The range is expanding as cloud-computing firms mix and match chips to make their operations more efficient and stay ahead of the competition. “Finding the right tool for the right job”, is how Urs Hölzle, in charge of technical infrastructure at Google, describes balancing the factors of flexibility, speed and cost.
At one end of the range are ASICs, an acronym for “application-specific integrated circuits”. As the term suggests, they are hard-wired for one purpose and are the fastest on the menu as well as the most energy-efficient. Dozens of startups are developing such chips with AI algorithms already built in. Google has built an ASIC called “Tensor Processing Unit” for speech recognition.
The other extreme is field-programmable gate arrays (FPGAs). These can be programmed, meaning greater flexibility, which is why even though they are tricky to handle, Microsoft has added them to many of its servers, for instance those underlying Bing, its online-search service. “We now have more FPGAs than any other organisation in the world,” says Mark Russinovich, chief technology officer at Azure, the firm’s computing cloud.
Time to be paranoid
Instead of making ASICS or FPGAs, Intel focused in recent years on making its CPU processors ever more powerful. Nobody expects conventional processors to lose their jobs anytime soon: every server needs them and countless applications have been written to run on them. Intel’s sales from the chips are still growing. Yet the quickening rise of accelerators appears to be bad news for the company, says Alan Priestley of Gartner, an IT consultancy. The more computing happens on them, the less is done on CPUs.
One answer is to catch up by making acquisitions. In 2015 Intel bought Altera, a maker of FPGAs, for a whopping $16.7bn. In August it paid more than $400m for Nervana, a three-year-old startup that is developing specialised AI systems ranging from software to chips. The firm says it sees specialised processors as an opportunity, not a threat. New computing workloads have often started out being handled on specialised processors, explains Diane Bryant, who runs Intel’s data-centre business, only to be “pulled into the CPU” later. Encryption, for instance, used to happen on separate semiconductors, but is now a simple instruction on the Intel CPUs which run almost all computers and servers globally. Keeping new types of workload, such as AI, on accelerators would mean extra cost and complexity.
If such integration occurs, Intel has already invested to take advantage. In the summer it will start selling a new processor, code-named Knights Mill, to compete with Nvidia. Intel is also working on another chip, Knights Crest, which will come with Nervana technology. At some point, Intel is expected also to combine its CPU’s with Altera’s FPGAs.
Predictably, competitors see the future differently. Nvidia reckons it has already established its own computing platform. Many firms have written AI applications that run on its chips, and it has created the software infrastructure for other kinds of programmes, which, for instance, enable visualisations and virtual reality. One decades-old computing giant, IBM, is also trying to make Intel’s life harder. Taking a page from open-source software, the firm in 2013 “opened” its processor architecture, which is called Power, turning it into a semiconductor commons of sorts. Makers of specialised chips can more easily combine their wares with Power CPUs, and they get a say in how the platform develops.
Much will depend on how AI develops, says Matthew Eastwood of IDC, a market researcher. If it turns out not to be the revolution that many people expect, and ushers in change for just a few years, Intel’s chances are good, he says. But if AI continues to ripple through business for a decade or more, other kinds of processor will have more of a chance to establish themselves. Given how widely AI techniques can be applied, the latter seems likely. Certainly, the age of the big, hulking CPU which handles every workload, no matter how big or complex, is over. It suffered, a bit like Humpty Dumpty, a big fall. And all of Intel’s horses and all of Intel’s men cannot put it together again.

This article appeared in the Business section of the print edition under the headline "Silicon crumble"

2017年5月13日 星期六

如何避免遭勒索病毒攻擊Officials Expect Cyberattacks to Spread on Monday. 'Accidental hero' finds kill switch to stop spread of ransomware cyber-attack




4.安裝微軟Eternal Blue安全性修補程式
6.開啟Windows Update,隨時升級系統,修補漏洞

Officials Expect Cyberattacks to Spread on Monday 

Cybersecurity experts are expecting another wave of computer-system attacks that encrypt files and demand ransom to unlock them on Monday, as companies and government agencies are seeking to restore normal operations and figure out the roots of the attack.

The man who spent £8.50 and stopped the spread of ransomware that hit IT systems around the world.

Kill switch - Wikipedia


kill switch, also known as an emergency stop (e-stop) or emergency power off (EPO), is a safety mechanism used to shut off a device or machinery in an ...
Powered‎: ‎Some are mechanical and others are ...
Classification‎: ‎Mechanical component
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A cyber-attack is wreaking havoc around the world – but a British man has halted its spread by registering a web domain for $10.69.

Spread of malware curtailed by expert who simply registered a domain…

2017年5月10日 星期三

Baby brain scans reveal trillions of neural connections

Baby brain scans reveal trillions of neural connections http://bbc.in/2q0QbGt

Scientists release groundbreaking medical scans that reveal how the human brain develops.

HIV life expectancy 'near normal' thanks to new drugs. Eliminating the HIV epidemic is possible, says UCLA. Experimental HIV Vaccine Gives Some Protection

HIV life expectancy 'near normal' thanks to new drugs http://bbc.in/2r3mBhU

Newer medications have fewer side effects and are more efficient at stopping the virus.


A nearly 20-year analysis by researchers yields the first proof that the "treatment as prevention" approach could eliminate the HIV epidemic.

A new study shows that effective treatment of patients in Denmark has virtually contained the disease.


2009.9 An experimental vaccine regimen has shown a modest ability to protect people exposed to HIV, the first time an investigational HIV vaccine has been shown to have this effect.

The results from the trial, which involved more than 16,000 adults in Thailand, indicated that the vaccine regimen lowered the rate of contracting HIV by 31% compared with those taking a placebo, according to the U.S. National Institutes of Health, which helped fund the study.

'Additional research is needed to better understand how this vaccine regimen reduced the risk of HIV infection, but certainly this is an encouraging advance for the HIV vaccine field,' said Anthony Fauci, director of the National Institute of Allergy and Infectious Diseases, which is part of the NIH.

It is a rare piece of good news for the field of AIDS vaccine research, which has sponsored more than 100 vaccine trials since 1987 but without any significant success.

The regimen consists of two vaccines. One is a primer dose made by Sanofi Pasteur, the vaccine division of French drug maker Sanofi-Aventis; the other is a booster dose developed by Vaxgen Inc. and now licensed to Global Solutions for Infectious Diseases, in South San Francisco, Calif.


讚助這項研究的美國國立衛生研究院(U.S. National Institutes of Health)的資料顯示,針對泰國逾1.6萬名成人的試驗結果顯示,與服用安慰劑的對照組相比,採用這種免疫疫苗療法的HIV感染率下降了31%。

國 立衛生研究院下屬的國家過敏症與傳染病研究所(National Institute of Allergy and Infectious Diseases)所長法奇(Anthony Fauci)說,還需要進一步研究,以便更好地了解這種免疫法降低HIV感染風險的機制,但這肯定是HIV疫苗領域的一個鼓舞人心的進展。


這 一免疫法由兩種疫苗組成。其一是法國藥品制造商賽諾菲安萬特(Sanofi-Aventis)旗下生產疫苗的子公司Sanofi Pasteur生產的基礎疫苗;另一種是Vaxgen Inc.開發的加強劑,現已授權給位於加州舊金山市的非贏利組織傳染性疾病全球解決方案(Global Solutions for Infectious Diseases)。

Gautam Naik

2017年5月9日 星期二

新款iPhone使OLED螢幕日本供應商成為焦點;Sony relaunching OLED TVs using LG-made panels

Sony will sell OLED TVs again by sourcing panels from LG Display. The TV features proprietary image-processing technology and a screen that also acts as the speaker.

Sony relaunching OLED TVs using LG-made panels
TOKYO -- Sony's high-definition OLED television, which hits domestic stores next month, will mark a return after sales were halted in 2010. But instea

彭博商業周刊 / 中文版
出光興產在20世紀80年代中期開始了有機發光二極體試驗,在全球石油衝擊後,該公司尋求降低對石油的依賴。現在, 不管是谷歌最新的Pixel智能電話、還是三星的Galaxy,這些手機OLED螢幕上的藍色畫素點都很可能是利用出光興產的材料或專利打造。
隨著影象更明晰、更省電的OLED顯示屏的應用更加廣泛,讓直至目前與iPhone的銷售幾乎沒有關聯的日本供應商成了焦點。譬如,Canon Tokki Corp.在生產OLED螢幕的大型真空機械領域幾乎達到壟斷地位。大日本印刷和凸版印刷都是精細金屬濾網的領先製造商。此類金屬濾網是印刷OLED畫素點所必需的材料。
「三星採用OLED螢幕已經有幾年了,但是蘋果的加入,大大推動了此類螢幕,」Sanford C. Bernstein & Co.的技術分析師Alberto Moel說,「這讓其他所有人都希望做同一件事。」
知情人士透露,在iPhone誕生十周年,蘋果計劃今年至少推出一款配備OLED螢幕的新型iPhone。據行業預估,蘋果使用OLED顯示屏將促使對後者的需求增加數億塊。IHS Markit預估,今年在智能手機面板方面,OLED顯示屏的應用將超過液晶顯示屏。
「我們從一開始就參與了,」出光興產電子材料研發中心的首席研究員Yuichiro Kawamura說。
之後該技術取得了更多進展。韓國顯示屏生產商投入巨資,開發生產出在價格上能與液晶顯示屏競爭的OLED顯示屏。三星將其智能手機的未來押注於OLED,目前佔小尺寸OLED螢幕市場份額的絕大部分。LG Electronics Inc.在2009年與出光興產結盟,側重於電視機螢幕。
「我們持有所有重要專利長達十年,」出光興產負責電子材料部門商業策略的總經理Takamitsu Nagase說,「但僅在過去三到四年的期間,該技術才成為了實實在在的業務。」
雖然出光興產在開發OLED技術方面取得先發優勢,但是陶氏化學、默克等其他競爭對手都加入了該領域,投入大量資金進行研發,以期找到更佳的方式來製造有機材料。撰文/Pavel Alpeyev、Takako Taniguchi
#新iPhone #日本