Get Started for FREE
Sign up with Facebook Sign up with X
I don't have a Facebook or a X account
 Your new post is loading...
Your new post is loading...
Scoop.it!
BT is testing a new quantum radio technology that could boost 5G radio sensitivity 100-fold, with major benefits for the Internet of Things. No comment yet.
Sign up to comment
Scoop.it!
From
semiwiki
It is an unavoidable fact that machine learning (ML) hardware architectures are evolving rapidly. Initially most visible in datacenters (many hyperscalars have built their own AI chips), the trend is now red-hot in inference engines for the edge, each spinning new ground-breaking methods. Markets demand these advances to support bigger images and voice recognition problems in real-time, for some level of local training, for local processing for privacy/security, and to reduce power and latency in communication to the fog or cloud. Product OEMs depend on those advances, for differentiation in power, latency, privacy, cost, etc. But they are far from expert in the underlying hardware. Without that understanding, how can they fully exploit their advantages? That’s why software rules AI success at the edge – the software that maps between open AI solutions trained in the cloud and these highly optimized hardware platforms.
Scoop.it!
3 min read on how WhatsApp has helped in the learning and teaching processes and how it is being used as a learning & teaching tool in education. Via EdTechReview.in
Scoop.it!
Need to align your marketing and sales teams, while driving ROI? Tune in to our LIVE webinar: 7 Strategies That Will Get Powerful Results For Your Marketing and Sales Teams.
Scoop.it!
Quantum computers may not be able to crack conventional encryption protocols until 2030, but cybersecurity and risk managers should evaluate their options now. Via JC Gaillard
Scoop.it!
The identity tools and processes in place today are heavily fragmented and wrought with major gaps. Via JC Gaillard
Scoop.it!
Students should be encouraged to create and innovate rather than just accrue knowledge. Alan Morgan shares five approaches to cultivating a creative mindset in class Via Charles Tiayon, juandoming 
Charles Tiayon's curator insight,
May 18, 2022 12:45 AM
"Universities and colleges are intent on returning to “normal” as we emerge from the pandemic. They do not recognise that “normal” is officially outdated. An education system that was designed for the 20th century has yet to adapt in real and demonstrable ways to the needs and wants of the 21st century. Teaching methods have not changed substantially for more than 100 years. We line our students up in a row and we talk down to them. Many of our teachers are disillusioned and disempowered. Does this sound familiar? At University College Dublin’s Innovation Academy, we work with educators to bring creativity and innovation into education. We believe it is essential to transform the education system in the Republic of Ireland, and globally – an education system that remains focused on the consumption of knowledge, even though, in today’s world, knowledge is ubiquitous. We need to recognise this and instead design education to focus on what we do with knowledge. [...] An entrepreneurial mindset draws from entrepreneurship principles, but it is not being an entrepreneur and it is not about starting businesses. It’s a way of thinking that enables you to overcome challenges, be decisive and accept responsibility for the outcomes of your decisions. It’s about constantly looking for ways to improve, by learning from your mistakes and failures. There are many competencies within an entrepreneurial mindset, but the key ones we focus on are creativity and innovation, comfort with risk, opportunity recognition, flexibility and adaptability, future orientation, initiative, resilience and self-direction." #metaglossia mundus
Scoop.it!
From
hbr
Digital transformation can be tough for legacy businesses. Take Levi Strauss & Co.: The challenges at this iconic retail and apparel company are different given the company’s more than 168 years of deeply rooted habits and traditions. But when the pandemic hit, the company was forced to change, and learned for important lessons in the process: 1) Test, learn, fail fast, and move on. Repeat. 2) Focus on leapfrogging over the competition, not catching them. 3) Everyone should be data-driven. 4) Pushback is normal, and an opportunity to have open conversations. Via Ricard Lloria
Scoop.it!
You don't "find your calling," you fight for it -- and other lessons from people who found their passion (sometimes late in life). Via Ricard Lloria
Scoop.it!
Large incumbents can compete successfully for technology talent--but only if they’re ready to completely rethink their entire HR approach. Via ELSE.Corp 
ELSE.Corp's curator insight,
May 18, 2022 8:31 AM
#TalentManagement #Hiring #HighTech #Jobs #Interviews #McKinsey #HR #Employees #Motivation #WorkLifeBalance #Corporations
Scoop.it!
At a conference of a GW-based research network, Provost Christopher Alan Bracey joined in discussing the future of micro-credentials. Via EDTECH@UTRGV
Scoop.it!
An anonymous reader quotes a report from The Guardian: Researchers in China revealed they have developed a contact lens that can sense an increase in pressure within the eye and release an anti-glaucoma drug should the pressure exceed a certain level.
Scoop.it!
From
news
With an expanded IBM partnership, SAP technology is helping fuel the company’s growth and better support clients. Read the news. |
Scoop.it!
From
semiwiki
We are currently in the hockey stick growth phase of AI. Advances in artificial intelligence (AI) are happening at a lightning pace. And, while the rate of adoption is exploding, so is model size. Over the past couple of years, we’ve gone from about two billion parameters to Google Brain’s recently announced trillion-parameter AI language model, the largest yet. But with model size and complexity growing at a faster rate than hardware compute capability, AI hardware is running out of steam and OEMs are looking for new solutions.
Scoop.it!
Pentagon officials speaking at the first public hearing on UFOs since the 1960s have shown previously classified footage of an unidentified aerial phenomenon (UAP).
The first well-known UFO sighting occurred in 1947, when businessman Kenneth Arnold claimed to see a group of nine high-speed objects near Mount Rainier in Washington while flying his small plane. Arnold estimated the speed of the crescent-shaped objects as several thousand miles per hour and said they moved “like saucers skipping on water.” In the newspaper report that followed, it was mistakenly stated that the objects were saucer-shaped, hence the term flying saucer. Sightings of unidentified aerial phenomena increased, and in 1948 the U.S. Air Force began an investigation of these reports called Project Sign. The initial opinion of those involved with the project was that the UFOs were most likely sophisticated Soviet aircraft, although some researchers suggested that they might be spacecraft from other worlds, the so-called extraterrestrial hypothesis (ETH). Within a year, Project Sign was succeeded by Project Grudge, which in 1952 was itself replaced by the longest-lived of the official inquiries into UFOs, Project Blue Book, headquartered at Wright-Patterson Air Force Base in Dayton, Ohio.
From 1952 to 1969 Project Blue Book compiled reports of more than 12,000 sightings or events, each of which was ultimately classified as (1) “identified” with a known astronomical, atmospheric, or artificial (human-caused) phenomenon or (2) “unidentified.” The latter category, approximately 6 percent of the total, included cases for which there was insufficient information to make an identification with a known phenomenon.
An American obsession with the UFO phenomenon was under way. In the hot summer of 1952 a provocative series of radar and visual sightings occurred near National Airport in Washington, D.C. Although these events were attributed to temperature inversions in the air over the city, not everyone was convinced by this explanation. Meanwhile, the number of UFO reports had climbed to a record high. This led the Central Intelligence Agency to prompt the U.S. government to establish an expert panel of scientists to investigate the phenomena. The panel was headed by H.P. Robertson, a physicist at the California Institute of Technology in Pasadena, California, and included other physicists, an astronomer, and a rocket engineer. The Robertson Panel met for three days in 1953 and interviewed military officers and the head of Project Blue Book. They also reviewed films and photographs of UFOs. Their conclusions were that (1) 90 percent of the sightings could be easily attributed to astronomical and meteorologic phenomena (e.g., bright planets and stars, meteors, auroras, ion clouds) or to such earthly objects as aircraft, balloons, birds, and searchlights, (2) there was no obvious security threat, and (3) there was no evidence to support the ETH. Parts of the panel’s report were kept classified until 1979, and this long period of secrecy helped fuel suspicions of a government cover-up. A second committee was set up in 1966 at the request of the Air Force to review the most interesting material gathered by Project Blue Book. Two years later this committee, which made a detailed study of 59 UFO sightings, released its results as Scientific Study of Unidentified Flying Objects—also known as the Condon Report, named for Edward U. Condon, the physicist who headed the investigation. The Condon Report was reviewed by a special committee of the National Academy of Sciences. A total of 37 scientists wrote chapters or parts of chapters for the report, which covered investigations of the 59 UFO sightings in detail. Like the Robertson Panel, the committee concluded that there was no evidence of anything other than commonplace phenomena in the reports and that UFOs did not warrant further investigation. This, together with a decline in sighting activity, led to the dismantling of Project Blue Book in 1969.
Despite the failure of the ETH to make headway with the expert committees, a few scientists and engineers, most notably J. Allen Hynek, an astronomer at Northwestern University in Evanston, Illinois, who had been involved with projects Sign, Grudge, and Blue Book, concluded that a small fraction of the most-reliable UFO reports gave definite indications for the presence of extraterrestrial visitors. Hynek founded the Center for UFO Studies (CUFOS), which continues to investigate the phenomenon. Another major U.S. study of UFO sightings was the Advanced Aviation Threat Identification Program (AATIP), a secret project that ran from 2007 to 2012. When the existence of the AATIP was made public in December 2017, the most newsworthy aspect of it was a report that the U.S. government possessed alloys and compounds purportedly attained from UFOs that were of unidentifiable nature, but many scientists remained skeptical about this claim.
Aside from the American efforts, the only other official and fairly complete records of UFO sightings were kept in Canada, where they were transferred in 1968 from the Canadian Department of National Defense to the Canadian National Research Council. The Canadian records comprised about 750 sightings. Less-complete records have been maintained in the United Kingdom, Sweden, Denmark, Australia, and Greece. In the United States, CUFOS and the Mutual UFO Network in Bellvue, Colorado, continue to log sightings reported by the public. In the Soviet Union, sightings of UFOs were often prompted by tests of secret military rockets. In order to obscure the true nature of the tests, the government sometimes encouraged the public’s belief that these rockets might be extraterrestrial craft but eventually decided that the descriptions themselves might give away too much information. UFO sightings in China have been similarly provoked by military activity that is unknown to the public. UFO reports have varied widely in reliability, as judged by the number of witnesses, whether the witnesses were independent of each other, the observing conditions (e.g., fog, haze, type of illumination), and the direction of sighting. Typically, witnesses who take the trouble to report a sighting consider the object to be of extraterrestrial origin or possibly a military craft but certainly under intelligent control. This inference is usually based on what is perceived as formation flying by sets of objects, unnatural—often sudden—motions, the lack of sound, changes in brightness or colour, and strange shapes. That the unaided eye plays tricks is well known. A bright light, such as the planet Venus, often appears to move. Astronomical objects can also be disconcerting to drivers, as they seem to “follow” the car. Visual impressions of distance and speed of UFOs are also highly unreliable because they are based on an assumed size and are often made against a blank sky with no background object (clouds, mountains, etc.) to set a maximum distance. Reflections from windows and eyeglasses produce superimposed views, and complex optical systems, such as camera lenses, can turn point sources of light into apparently saucer-shaped phenomena. Such optical illusions and the psychological desire to interpret images are known to account for many visual UFO reports, and at least some sightings are known to be hoaxes. Radar sightings, while in certain respects more reliable, fail to discriminate between artificial objects and meteor trails, ionized gas, rain, or thermal discontinuities in the atmosphere.
“Contact events,” such as abductions, are often associated with UFOs because they are ascribed to extraterrestrial visitors. However, the credibility of the ETH as an explanation for abductions is disputed by most psychologists who have investigated this phenomenon. They suggest that a common experience known as “sleep paralysis” may be the culprit, as this causes sleepers to experience a temporary immobility and a belief that they are being watched. Via Dr. Stefan Gruenwald
Scoop.it!
In this SoFi Invest vs. Robinhood comparison, you’ll learn whether you need to invest using a full robo-advisor or if a smaller investing tool will do the trick.
THE OFFICIAL ANDREASCY's insight:
Scoop.it!
Coding trains both brain hemispheres with the ability to transform a child’s mind and positively impacts their later academic performance. Via EdTechReview.in
Scoop.it!
Digitalization and automation should not be seen as a way to replace humans. It is about bringing out the best in humanity, in concert with machines and algorithms. Via JC Gaillard
Scoop.it!
This page contains tutorials for using Google tools. The tutorials that I've created you are welcome to use in your own blog, website, or professional development session. Before using the tutorials created by others, please contact their creators. Via Jim Lerman, michel verstrepen 
reuvenwerber's curator insight,
May 23, 2022 4:20 AM
This page contains tutorials for using Google tools. The tutorials that I've created you are welcome to use in your own blog, website, or professional development session. Before using the tutorials created by others, please contact their creators.
Scoop.it!
From
hbr
Most companies approach hiring with faulty assumptions and poor practices. They believe talent is fixed rather than contextual. They fail to create real partnerships between internal recruiters and hiring managers. And they rely too much on salary surveys and rigid compensation formulas. The author shares what she learned about making and keeping great hires during her 14 years as the chief talent officer at Netflix. The process requires probing beneath the surface of people and their résumés; engaging managers in every aspect of hiring; ensuring that recruiters deeply understand the business and are not viewed as support staff; adopting a mindset in which you’re always recruiting; and coming up with compensation that suits the performance you need and the future you aspire to. These lessons may be especially relevant to fast-growing tech-based firms, whose rapid innovation means a continual need for new talent. But organizations of all types can benefit from taking a fresh look at their hiring and compensation practices. Via Ricard Lloria
Scoop.it!
From
phlanx
Instagram Engagement Calculator. Calculate average interactions per post.
Scoop.it!
Scoop.it!
How is the Agile approach, typically used in IT software development, applicable in education and what impact does it have? Via EDTECH@UTRGV
Scoop.it!
Traditional methods of research are not compatible with the way micro-credentials operate. Change is needed for a new, dynamic system to take over, and implement the evolved practices that are required. Via EDTECH@UTRGV
Scoop.it!
Microsoft plans to nearly double its global budget for merit-based salary increases, and increase its range for annual stock-based compensation by at least 25% for employees at the senior director level and below. |
