China and the United States are ahead of the global competition to dominate artificial intelligence (AI), according to a study by the U.N. World Intellectual Property Organization (WIPO) published on Thursday. From a report: The study found U.S. tech giant IBM had by far the biggest AI patent portfolio, with 8,920 patents, ahead of Microsoft with 5,930 and a group of mainly Japanese tech conglomerates. China accounted for 17 of the top 20 academic institutions involved in patenting AI and was particularly strong in the fast growing area of "deep learning" - a machine-learning technique that includes speech recognition systems.

"The U.S. and China obviously have stolen a lead. They're out in front in this area, in terms of numbers of applications, and in scientific publications," WIPO Director-General Francis Gurry told a news conference. U.S. President Donald Trump has accused China of stealing American innovations and technology and has slapped trade tariffs on $234 billion of Chinese goods to punish Beijing.

On Thursday, Tim Cook took to Twitter to celebrate the 35th anniversary of the Macintosh, recalling how it changed the world. "35 years ago, Macintosh said hello. It changed the way we think about computers and went on to change the world. We love the Mac, and today weâ(TM)re proud that more people than ever are using it to follow their passions and create the future," Cook tweeted. The Register provides a brief history lesson on how the Mac changed how users interact with computers. Here is an excerpt from the report: After the disastrous debut of the Lisa, and the abject failure of the Apple III, it was down to the Steve Jobs-led Macintosh project to save the day for the troubled computer manufacturer. Rival IBM had launched the Personal Computer XT just under a year earlier, in March 1983, with up to 640KB of RAM and a mighty Intel 8088 CPU. It also included PC-DOS 2, which would go on to underpin Microsoft's operating system efforts in subsequent decades. IBM had started to rule the PC industry, but what the IBM PC XT did not have was a graphical user interface, sticking instead with the sober command line of DOS. The Macintosh, on the other hand, had a GUI lifted from Apple's ill-fated Lisa project, except (and unusually, as things would turn out) retailed at a lower price of $2,495 (just over $6,000 in today's money). It ran faster than the Lisa too, with its Motorola 68000 CPU clocked at 7.8MHz.

The good news ended there. The machine shipped with a woeful 128KB of RAM, which was shared with the black and white 512 x 342 pixel display built into the box. That 128KB was resolutely not upgradable, and fans would have to wait until September for Apple to unleash a 512KB version for another $300. The only storage provided was a single 400KB 3 1/2;-inch disk, an improvement over the 360KB 5¼-inch floppies of IBM's PC XT and the nature of the box meant that any extra storage would have to be external. Users became quickly accustomed to swapping floppies in order to do what little useful work the pitiful 128K would afford. Third parties eventually launched hard drives for the machines, which had to be attached via the serial port. Apple would make a 20MB drive in the form of the Hard Disk 20 available in September 1985 for the 512KB Mac at a cost of $1,495. Owners of the original 128K Mac, however, needed not apply. The limited RAM made the new Hierarchical File System a non-starter.

An anonymous reader quotes a report from The New York Times: Over the last two years, Amazon has aggressively marketed its facial recognition technology to police departments and federal agencies as a service to help law enforcement identify suspects more quickly. Now a new study from researchers at the M.I.T. Media Lab has found that Amazon's system, Rekognition, had much more difficulty in telling the gender of female faces and of darker-skinned faces in photos than similar services from IBM and Microsoft. The results raise questions about potential bias that could hamper Amazon's drive to popularize the technology.

In the study, published Thursday, Rekognition made no errors in recognizing the gender of lighter-skinned men. But it misclassified women as men 19 percent of the time, the researchers said, and mistook darker-skinned women for men 31 percent of the time. Microsoft's technology mistook darker-skinned women for men just 1.5 percent of the time. For the latest study, [co-author of the study, Ms. Buolamwini, said] she sent a letter with some preliminary results to Amazon seven months ago. But she said that she hadn't heard back from Amazon, and that when she and a co-author retested the company's product a couple of months later, it had not improved. "It's not possible to draw a conclusion on the accuracy of facial recognition for any use case -- including law enforcement -- based on results obtained using facial analysis," Matt Wood, general manager of AI at Amazon Web Services, said. He added that the researchers had not tested the latest version of Rekognition, which was updated in November.

"Amazon said that in recent internal tests using an updated version of its service, the company found no difference in accuracy in classifying gender across all ethnicities," the NYT reports. The new study is scheduled to be presented Monday at an artificial intelligence and ethics conference in Honolulu.

What does the future of getting a job in the tech industry look like? According to the CEO of IBM, Ginni Rometty, it's important that tech companies focus on hiring people with valuable skills, not just people with college degrees. From a report: Rometty made the comments yesterday at the World Economic Forum in Davos, Switzerland. The CEO said that technology's fast-moving pace here in the 21st century makes it harder for people to find jobs and has led to disillusionment with the future. "With the new technologies that are out there, I think there is a huge inclusion problem, meaning there's a large part of society that does not feel this is going to be good for their future," Rometty said. "Forget about whether it is or it isn't or what we believe. Therefore they feel very disenfranchised."

[...] "So when it comes to education and skills, I think the government can't solve it alone," Rometty said. "I think businesses have to believe I'll hire for skills, not just their degrees or their diplomas. Because otherwise we'll never bridge this gap." "All of us are full of companies with university degrees, PhDs, you've got to make room for everyone in society in these jobs," Rometty said as other business leaders on the panel nodded their heads. She added, "We have a very serious duty about this. Because these technologies are changing faster with times than their skills are going to change. So it is causing this skill crisis. [...] We have to have a new paradigm. You would have to have new pathways that don't all include college education and you would have to have respect for that job -- not blue collar or white collar, I call it new collar."

An anonymous reader quotes ZDNet: MongoDB is an open-source document NoSQL database with a problem. While very popular, cloud companies, such as Amazon Web Services (AWS), IBM Cloud, Scalegrid, and ObjectRocket has profited from it by offering it as a service while MongoDB Inc. hasn't been able to monetize it to the same degree. MongoDB's answer? Relicense the program under its new Server Side Public License (SSPL).

Open-source powerhouse Red Hat's reaction? Drop MongoDB from Red Hat Enterprise Linux 8. Red Hat's Technical and Community Outreach Program Manager Tom Callaway explained, in a note stating MongoDB is being removed from Fedora Linux, that "It is the belief of Fedora that the SSPL is intentionally crafted to be aggressively discriminatory towards a specific class of users." Debian Linux had already dropped MongoDB from its distribution....

The business point behind MongoDB's license change is to force cloud companies to use one of MongoDB's commercial cloud offerings. This hasn't worked either. AWS just launched DocumentDB, a database, which "is designed to be compatible with your existing MongoDB applications and tools," wrote AWS evangelist Jeff Barr.

An anonymous reader shares a report: For more than two months after employees at IBM moved into a Manhattan building managed by office space giant WeWork, frequent elevator problems forced workers to climb the stairs of the 11-story building and prompted complaints to the company. One of the landlords behind the building was no ordinary owner: It was Adam Neumann, WeWork's chief executive, who leased the property to WeWork after buying it [Editor's note: the link may be paywalled; alternative source], according to people familiar with the situation.

Mr. Neumann has made millions of dollars by leasing multiple properties in which he has an ownership stake back to WeWork, one of the country's most valuable startups. Multiple investors of the privately held company said the arrangement concerned them as a potential conflict of interest in which the CEO could benefit on rents or other terms with the company. [...] WeWork, which was recently valued at $47 billion by investor SoftBank, signs long-term leases for office space with landlords, then subleases the space on a short-term basis to companies. Mr. Neumann, the 39-year-old executive who founded WeWork in 2010, is WeWork's largest individual shareholder and has voting control over the company.

An anonymous reader quotes a report from MIT Technology Review: As good as they are at causing mischief, researchers from the MIT-IBM Watson AI Lab realized GANs, or generative adversarial networks, are also a powerful tool: because they paint what they're "thinking," they could give humans insight into how neural networks learn and reason. [T]he researchers began probing a GAN's learning mechanics by feeding it various photos of scenery -- trees, grass, buildings, and sky. They wanted to see whether it would learn to organize the pixels into sensible groups without being explicitly told how. Stunningly, over time, it did. By turning "on" and "off" various "neurons" and asking the GAN to paint what it thought, the researchers found distinct neuron clusters that had learned to represent a tree, for example. Other clusters represented grass, while still others represented walls or doors. In other words, it had managed to group tree pixels with tree pixels and door pixels with door pixels regardless of how these objects changed color from photo to photo in the training set.

Not only that, but the GAN seemed to know what kind of door to paint depending on the type of wall pictured in an image. It would paint a Georgian-style door on a brick building with Georgian architecture, or a stone door on a Gothic building. It also refused to paint any doors on a piece of sky. Without being told, the GAN had somehow grasped certain unspoken truths about the world. Being able to identify which clusters correspond to which concepts makes it possible to control the neural network's output. The team has now released an app called GANpaint that turns this newfound ability into an artistic tool. It allows you to turn on specific neuron clusters to paint scenes of buildings in grassy fields with lots of doors. Beyond its silliness as a playful outlet, it also speaks to the greater potential of this research.

IBM earned a record 9,100 U.S. patents in 2018, marking the 26th year in a row the Armonk, New York-based company has been the top recipient. From a report: Samsung was second with 5,850 patents while tech giants Apple and Microsoft also appeared in the top ten, according to a list compiled by research service IFI Claims. IBM's latest patent haul, which topped the 9,043 it received last year, includes a growing number of inventions related to artificial intelligence and quantum computing, which many people see as critical technologies of the future.

It has taken almost four years but China's Lenovo Group has begun to see some rewards from the multibillion dollar acquisitions of IBM's commodity server business and Google's Motorola Mobility smartphone unit, with the company recently regaining the crown from HP as the world's biggest personal computer (PC) maker. From a report: The company in November posted a third, straight quarter of profit growth as its Motorola business broke even operationally and as its data centre unit posted much-reduced losses of US$3 million, allowing it to say it was on track to be a "sustainable, profitable growth engine." Chairman and chief executive Yang Yuanqing believes the worst is over for Lenovo, which has spent the past few years refocusing on mobile and smart devices, as well as its data centre services, in what the company has called an "intelligent transformation" to capitalize on the rapid growth of the internet of things (IoT) market globally, as well as the wider adoption of artificial intelligence (AI) and automation. "Because of the past few years of laying the groundwork ... we have all the assets needed to now push ahead in the field of automation [where processes can be conducted with minimal human inputs]," he said in a recent interview.

The Los Angeles City Attorney's office issued a cloudy forecast with the possibility of civil penalties for the popular Weather Channel app on Friday, claiming it repeatedly violated the privacy of consumers. From a report: In a civil lawsuit filed in Los Angeles Superior Court, city prosecutors allege that The Weather Channel app led users to believe that it would use location data to provide them with "personalized local weather data, alerts and forecasts" but instead transmitted that data to third parties. The 15-page suit seeks to stop TWC Product and Technology LLC, a subsidiary of IBM, from using consumers' information and seeks civil penalties up to $2,500 for each violation by the company. Prosecutors allege that the firm profited from that data for purposes entirely unrelated to weather or the app. Further reading: The Register; Your Apps Know Where You Were Last Night, and They're Not Keeping It Secret, and Several Popular Apps Share Data With Facebook Without User Consent.

Linus Torvalds has announced the general availability of v4.20 of the Linux kernel. In a post to the Linux Kernel Mailing List, Torvalds said that there was no point in delaying the release of the latest stable version of the kernel just because so many people are taking a break for the holiday season. From a report: He says that while there are no known issues with the release, the shortlog is a little longer than he would have liked. However "nothing screams 'oh, that's scary'", he insists. The most notable features and changes in the new version includes: New hardware support! New hardware support includes bringing up the graphics for AMD Picasso and Raven 2 APUs, continued work on bringing up Vega 20, Intel has continued putting together its Icelake Gen 11 graphics support, there is support for the Hygon Dhyana CPUs out of China based upon AMD Zen, C-SKY 32-bit CPU support, Qualcomm Snapdragon 835 SoC enablement, Intel 2.5G Ethernet controller support for "Foxville", Creative Sound Blaster ZxR and AE-5 sound card support, and a lot of smaller additions.

Besides new hardware support when it comes to graphics processors, in the DRM driver space there is also VCN JPEG acceleration for Raven Ridge, GPUVM performance work resulting in some nice Vulkan gaming boosts, Intel DRM now has full PPGTT support for Haswell/IvyBridge/ValleyView, and HDMI 2.0 support for the NVIDIA/Nouveau driver. On the CPU front there are some early signs of AMD Zen 2 bring-up, nested virtualization now enabled by default for AMD/Intel CPUs, faster context switching for IBM POWER9, and various x86_64 optimizations. Fortunately the STIBP work for cross-hyperthread Spectre V2 mitigation was smoothed out over the release candidates that the performance there is all good now.

Btrfs performance improvements, new F2FS features, faster FUSE performance, and MDRAID improvements for RAID10 round out the file-system/storage work. One of the technical highlights of Linux 4.20 that will be built up moving forward is the PCIe peer-to-peer memory support for device-to-device memory copies over PCIe for use-cases like data going directly from NICs to SSD storage or between multiple GPUs.

Technological changes such as automation and artificial intelligence are expected to transform the employment landscape. The question is: will our education system keep up? From a report: The answer matters because an estimated 65% of children entering primary schools today will work in jobs and functions that don't currently exist, according to a recent Universities UK report. The research, which explores the "rapid pace of change and increasing complexity of work", also warns that the UK isn't even creating the workers that will be needed for the jobs that can be anticipated. By 2030, it will have a talent deficit of between 600,000 and 1.2 million workers in the financial and business sector, and technology, media and telecommunications sector.

University leaders would be "foolish" not to pay attention, says Lancaster University vice-chancellor Mark E Smith. "We look at the trends in the job market and the skills employers are looking for, and we listen to what employers are saying. We don't want to be talking about yesterday's problem." This is one of the reasons the university is a partner in the National Institute of Coding. The programme, led by the University of Bath, is bringing 25 universities together with small and medium-sized enterprises (SMEs) and global companies including IBM, Cisco, BT and Microsoft to create "the next generation of digital specialists".

Jordan Morrow, chair of the Data Literacy Project advisory board and global head of data literacy at US-based analytics firm Qlik, thinks that in a climate of uncertainty, universities should focus on developing the thing they have specialised in for centuries: critical thinking. "We need people who can give insight, not just observations," he says. Likewise, he says, the "softer" skills of communication and storytelling are vital. "The reality is that data scientists are trained to do very complex and complicated things with data, but their training is not necessarily in people skills or leadership. It becomes an issue when you have, say, a very intelligent data scientist who has put together an analysis, but doesn't know how to communicate it."

An anonymous reader quotes a report from Reuters: Hackers working on behalf of China's Ministry of State Security breached the networks of Hewlett Packard Enterprise and IBM, then used the access to hack into their clients' computers, according to five sources familiar with the attacks. The attacks were part of a Chinese campaign known as Cloudhopper, which the United States and Britain on Thursday said infected technology service providers in order to steal secrets from their clients. While cybersecurity firms and government agencies have issued multiple warnings about the Cloudhopper threat since 2017, they have not disclosed the identity of technology companies whose networks were compromised. IBM said it had no evidence that sensitive corporate data had been compromised. HPE said it could not comment on the Cloudhopper campaign.

Cloudhopper targeted managed service providers (MSPs) to access client networks and steal corporate secrets from companies around the globe, according to a U.S. federal indictment of two Chinese nationals unsealed on Thursday. Prosecutors did not identify any of the MSPs that were breached. Cloudhopper, which has been targeting technology services providers for several years, infiltrated the networks of HPE and IBM multiple times in breaches that lasted for weeks and months. Reuters was unable to confirm the names of other breached technology firms or identify any affected clients. Both IBM and HPE provided statements but declined to comment on the specific claims made by the sources. "The security of HPE customer data is our top priority," HPE said. "We are unable to comment on the specific details described in the indictment, but HPE's managed services provider business moved to DXC Technology in connection with HPE's divestiture of its Enterprise Services business in 2017."

"IBM has taken extensive counter measures worldwide as part of its continuous efforts to protect itself and its clients against constantly evolving threats," the company said in an emailed statement. "We take responsible stewardship of client data very seriously and have no evidence that sensitive IBM or client data has been compromised."

Alibaba founder Jack Ma fired a shot at the United States in an interview at the World Economic Forum in Davos, Switzerland. An anonymous reader shares a report: Ma was asked by CNBC's Andrew Ross Sorkin about the U.S. economy in relation to China, since President-elect Donald Trump has been talking about imposing new tariffs on Chinese imports. Ma says blaming China for any economic issues in the U.S. is misguided. If America is looking to blame anyone, Ma said, it should blame itself. "It's not that other countries steal jobs from you guys," Ma said. "It's your strategy. Distribute the money and things in a proper way." He said the U.S. has wasted over $14 trillion in fighting wars over the past 30 years rather than investing in infrastructure at home.

To be sure, Ma is not the only critic of the costly U.S. policies of waging war against terrorism and other enemies outside the homeland. Still, Ma said this was the reason America's economic growth had weakened, not China's supposed theft of jobs. In fact, Ma called outsourcing a "wonderful" and "perfect" strategy. "The American multinational companies made millions and millions of dollars from globalization," Ma said. "The past 30 years, IBM, Cisco, Microsoft, they've made tens of millions -- the profits they've made are much more than the four Chinese banks put together. ... But where did the money go?"

Long-time Slashdot reader Mike Bouma quotes Gizmodo: Despite being ahead of its time when it was unveiled in 1985, the Commodore Amiga didn't survive past 1996. The machine, which went up against with the likes of the IBM PC and the Macintosh, offered far superior hardware than its competitors. But it just wasn't enough, as this video from Ahoy's Stuart Brown explains. While the Amiga had other 16-bit computers beat on technology, it didn't really have anything compelling to do with that hardware. "With 4096 colours, 4 channels of digital audio, and preemptive multitasking, [the Amiga] was capable of incredible things for the time...."

[U]nfortunately, internal struggles within Commodore would signal the beginning of the end.
I'll always remember Joel Hodgson's Amiga joke on a 1991 episode of Mystery Science Theatre 3000. But in 2015 Geek.com reported on an Amiga which had been running a school's heating system for the last 30 years. A local high school student had originally set it up, and "he's the only one who knows how to fix software glitches. Luckily, he still lives in the area."

Leave your own thoughts in the comments. Does anyone else have their own stories about Commodore's Amiga? And was the Amiga a computer ahead of its time?

Thursday a bug report complained that the source code for OpenJDK, the free and open-source implementation of Java, "has too many swear words." An anonymous reader writes: "There are many instances of swear words inside OpenJDK jdk/jdk source, scattered all over the place," reads the bug report. "As OpenJDK is used in a professional context, it seems inappropriate to leave these 12 instances in there, so here's a changeset to remove them."
IBM software developer (and OpenJDK team member and contributor) Adam Farley responded that "after discussion with the community, three determinations were reached":

• "Damn" and "Crap" are not swear words.

• Three of the four f-bombs are located in jszip.js, which should be corrected upstream (will follow up).

• The f-bomb in BitArray.java, as well as the rude typo in SoftChannel.java, *are* swear words and should be removed to resolve this work item.

He promised a new webrev would be uploaded to reflect these determinations, and the bug has been marked as "resolved."

"IBM has agreed to sell select software products to HCL Technologies," writes Slashdot reader virtig01. "Included among these is everyone's favorite email and calendaring tool, Lotus Notes and Domino." TechCrunch reports: IBM paid $3.5 billion for Lotus back in the day. The big pieces here are Lotus Notes, Domino and Portal. These were a big part of IBM's enterprise business for a long time, but last year Big Blue began to pull away, selling the development part to HCL, while maintaining control of sales and marketing. This announcement marks the end of the line for IBM involvement. With the development of the platform out of its control, and in need of cash after spending $34 billion for Red Hat, perhaps IBM simply decided it no longer made sense to keep any part of this in-house. As for HCL, it sees an opportunity to continue to build the Notes/Domino business. "The large-scale deployments of these products provide us with a great opportunity to reach and serve thousands of global enterprises across a wide range of industries and markets," C Vijayakumar, president and CEO at HCL Technologies, said in a statement announcing the deal.

DeepMind has created a system that can quickly master any game in the class that includes chess, Go, and Shogi, and do so without human guidance. "The system, called AlphaZero, began its life last year by beating a DeepMind system that had been specialized just for Go," reports IEEE Spectrum. "That earlier system had itself made history by beating one of the world's best Go players, but it needed human help to get through a months-long course of improvement. AlphaZero trained itself -- in just 3 days." From the report: The research, published today in the journal Science, was performed by a team led by DeepMind's David Silver. The paper was accompanied by a commentary by Murray Campbell, an AI researcher at the IBM Thomas J. Watson Research Center in Yorktown Heights, N.Y. AlphaZero can crack any game that provides all the information that's relevant to decision-making; the new generation of games to which Campbell alludes do not. Poker furnishes a good example of such games of "imperfect" information: Players can hold their cards close to their chests. Other examples include many multiplayer games, such as StarCraft II, Dota, and Minecraft. But they may not pose a worthy challenge for long.

DeepMind developed the self-training method, called deep reinforcement learning, specifically to attack Go. Today's announcement that they've generalized it to other games means they were able to find tricks to preserve its playing strength after giving up certain advantages peculiar to playing Go. The biggest such advantage was the symmetry of the Go board, which allowed the specialized machine to calculate more possibilities by treating many of them as mirror images. The researchers have so far unleashed their creation only on Go, chess and Shogi, a Japanese form of chess. Go and Shogi are astronomically complex, and that's why both games long resisted the "brute-force" algorithms that the IBM team used against Kasparov two decades ago.

An anonymous reader writes from a report via ZDNet: Three academics from Northeastern University and three researchers from IBM Research have discovered a new variation of the Spectre CPU vulnerability that can be exploited via browser-based code. The vulnerability, which researchers codenamed SplitSpectre, is a variation of the original Spectre v1 vulnerability discovered last year and which became public in January 2018. The difference in SplitSpectre is not in what parts of a CPU's microarchitecture the flaw targets, but how the attack is carried out. Researchers say a SplitSpectre attack is both faster and easier to execute, improving an attacker's ability to recover code from targeted CPUs. The research team says they were successfully able to carry out a SplitSpectre attack against Intel Haswell and Skylake CPUs, and AMD Ryzen processors, via SpiderMonkey 52.7.4, Firefox's JavaScript engine. The good news is that existing Spectre mitigations would thwart the SplitSpectre attacks.

PolygamousRanchKid shares a report from ZDNet (with some commentary): IBM has launched a unit designed for human resources to better find talent and recruit using artificial intelligence. The company is wrapping its latest HR effort, dubbed IBM Talent & Transformation, which includes select Watson services. According to IBM, its suite of AI tools can help HR become a growth engine to enable digital transformation. AI can be used to revamp workflow, employee engagement, recruitment and retention while providing a more diverse workforce. (I can still program Fortran; I learned it from Forman S. Acton -- does that make me diverse enough?) Big Blue's Talent & Transformation suite includes a Watson Talent Suite that rolls up behavioral science, AI and psychology and applies it to HR. (Sounds like the recipe for The Apocalypse to me.) IBM Garage, which serves as a test bed to meld HR, AI and culture, will also be available. (Garage? It sounds like the creepy CRISPR basement of a mad scientist to me.)