SI
SI
discoversearch

We've detected that you're using an ad content blocking browser plug-in or feature. Ads provide a critical source of revenue to the continued operation of Silicon Investor.  We ask that you disable ad blocking while on Silicon Investor in the best interests of our community.  If you are not using an ad blocker but are still receiving this message, make sure your browser's tracking protection is set to the 'standard' level.

   Technology StocksInvesting in Exponential Growth


Previous 10 Next 10 
From: Paul H. Christiansen2/4/2020 11:50:05 AM
   of 964
 
Why Slack Will Be Acquired

This time last year, Slack Technologies, the popular workplace chat provider, was one of the most eagerly anticipated public tech debuts of 2019. That seems like a long time ago. Since Slack went public in June, its stock has dropped about 40%.

The reason for the slump: Revenue growth at Slack is slowing and competition is intensifying, especially from Microsoft. The tech giant is relying on a familiar tactic—bundling a Slack killer with a widely used existing product, its Office 365 suite of apps. Given that competitive pressure, I predict 2020 will be the year that—after years of acquisition speculation—a larger tech company will finally buy Slack.

Potential suitors could include Amazon—which has reportedly eyed Slack in the past—and Google. Both companies are top providers of cloud computing services and could plug Slack into their cloud units to increase the revenue they generate from online applications.

Read More - $The Information

Share RecommendKeepReplyMark as Last Read


From: Paul H. Christiansen2/4/2020 11:52:55 AM
   of 964
 
Why Is TSLA Surging

The controversy regarding the Telsa story is far from over. While the company is no longer at risk of running out of money, the debate around justified market cap continues, given the company is now worth more than Ford and GM combined. The timing of EV adoption, profitability, Elon Musk’s suitability as CEO, and competition continue to be relevant to the Tesla investing conversation. We were surprised to find recently reported trading data in the month of December that short interest only decreased from 15% to 14.3% as Tesla shares increased 17% from 12/13 to 12/31. In other words, contrary to our earlier belief, much of the move in December appears to be related to an increase in long shareholder positions vs short covering. This 14.3% short interest remains higher than typical tech stocks of 1-6%. Given the trajectory of today’s gains, it is likely that short covering is the primary factor in the move.

Read More - $Loup Ventures

Share RecommendKeepReplyMark as Last Read


From: Paul H. Christiansen2/4/2020 11:56:38 AM
1 Recommendation   of 964
 
This Has Been the Best Year Ever

If you’re depressed by the state of the world, let me toss out an idea: In the long arc of human history, 2019 has been the best year ever.

The bad things that you fret about are true. But it’s also true that since modern humans emerged about 200,000 years ago, 2019 was probably the year in which children were least likely to die, adults were least likely to be illiterate and people were least likely to suffer excruciating and disfiguring diseases.

Every single day in recent years, another 325,000 people got their first access to electricity. Each day, more than 200,000 got piped water for the first time. And some 650,000 went online for the first time, every single day.

Read More – NY Times

Share RecommendKeepReplyMark as Last Read


From: Paul H. Christiansen2/4/2020 12:00:41 PM
   of 964
 
The Last Decade Was All About the Smartphone Economy

I have always felt that the economic benefit and impact of the smartphone was much broader than the smartphone itself but had never seen its economic impact quantified until I received this Statista chart below in an email over the weekend. It comes from a Deloitte analysis of Apps Annie and others and states that the smartphone economy is estimated to be almost a trillion-dollar business by 2020.

Read More - $Tech.pinions

Share RecommendKeepReplyMark as Last Read


From: Paul H. Christiansen2/6/2020 12:26:49 PM
   of 964
 
The Mini-Short Video Revolution-Fad or Growth Opportunity

About 18 months ago, I was told by Hollywood insiders I know that Jeffrey Katzenberg was working on a concept where he would develop high-quality stories in short bites. What was described to me was short novella’s that focused on delivering them on smartphones.

AT CES this year, Katzenberg and his partner in this venture, former HP CEO Meg Whitman, talked about their Quibi Venture. In their keynote, they told this CES audience the following:

“What’s the next big opportunity in entertainment?” asked Jeffrey Katzenberg, founder of Quibi. “We’re living through another revolution in entertainment. Mobile phones are the most widely distributed, democratized entertainment platform the world has ever seen.” Collaborating with A-list celebrities and directors the likes of Steven Spielberg and Reese Witherspoon, as well as major news and sports studios, Quibi promises fresh and original content that is different from what the streaming and entertainment industry already has. “We fill a niche [other platforms] don’t. We provide content for people on the go,” said Meg Whitman, CEO of Quibi, who was also previously CEO of Hewlett-Packard and eBay.

Read More - $ Tech.pinions

Share RecommendKeepReplyMark as Last Read


From: Paul H. Christiansen2/7/2020 10:45:46 AM
   of 964
 
AI could help design better drugs that don’t clash with other medication

A new system that can predict a proposed drug’s chemical structure could help prevent adverse drug interactions, one of the leading causes of patient death.

Why it matters: According to the FDA, serious adverse drug interactions could kill more than 100,000 hospitalized people in the US every year. But traditional ways of avoiding such interactions during drug development require expensive and laborious physical testing and clinical trials to catalogue all the proposed drug’s possible chemical interactions with existing ones.

Read More - $MIT Technology Review

Share RecommendKeepReplyMark as Last Read


From: Paul H. Christiansen2/7/2020 1:03:31 PM
   of 964
 
Could Photonic Chips Outpace the Fastest Supercomputers

There’s been a lot of talk about quantum computers being able to solve far more complex problems than conventional supercomputers. The authors of a new paper say they’re on the path to showing an optical computer can do so, too.

The idea of using light to carry out computing has a long pedigree, and it has gained traction in recent years with the advent of silicon photonics, which makes it possible to build optical circuits using the same underlying technology used for electronics. The technology shows particular promise for accelerating deep learning, and is being actively pursued by Intel and a number of startups.

Now Chinese researchers have put a photonic chip to work tackling a fiendishly complex computer science challenge called the subset sum problem in a paper in Science Advances. It has some potential applications in cryptography and resource allocation, but primarily it’s used as a benchmark to test the limits of computing.

Read More – Singularity Hub


Share RecommendKeepReplyMark as Last Read


From: Paul H. Christiansen2/7/2020 1:12:34 PM
1 Recommendation   of 964
 
Alphabet Has a Second, Secretive Quantum Computing Team

In October, Google celebrated a breakthrough that CEO Sundar Pichai likened to the Wright brothers’ first flight. Company researchers in Santa Barbara, California, 300 miles from the Googleplex, had achieved quantum supremacy—the moment that a quantum computer performs a calculation impossible for any conventional computer.

That was both notable science and a chance for Google to show prominence in a contest among big tech companies, including IBM and Microsoft, to deliver the wild new power promised by quantum computing. The usually low-profile Pichai threw himself into marking the moment, penning a blog post, taking part in a rare media interview, and posting an Instagram photo of himself alongside the shiny machine that scored the result.

Read More - Wired

Share RecommendKeepReplyMark as Last Read


From: Paul H. Christiansen2/11/2020 3:12:24 PM
   of 964
 
Arm Brings AI and Machine Learning to IoT and the Edge

For a company that doesn’t manufacture anything, Arm has a surprisingly large and broad impact, not only on the chip industry, but the overall tech industry and, increasingly, many other vertical industries as well.

The company—which creates semiconductor chip designs that it licenses as IP (intellectual property) and then Arm’s customers use the designs to build chips—is the brains behind virtually every smartphone ever made. In addition, it has a small but growing market in data center and other network infrastructure equipment and is the long-time leader in intelligent devices of various types—from toys to cars and nearly everything in between; essentially the “things” part of IoT (Internet of Things).

Read More $ Tech.pinions

Share RecommendKeepReplyMark as Last Read


From: Paul H. Christiansen2/11/2020 3:28:28 PM
   of 964
 
AI-formulated medicine to be tested on humans for the first time

A drug designed entirely by artificial intelligence is about to enter clinical human trials for the first time. The drug, which is intended to treat obsessive-compulsive disorder, was discovered using AI systems from Oxford-based biotech company Exscientia. While it would usually take around four and a half years to get a drug to this stage of development, Exscientia says that by using the AI tools it's taken less than 12 months.

The drug, known as DSP-1181, was created by using algorithms to sift through potential compounds, checking them against a huge database of parameters, including a patient's genetic factors. Speaking to the BBC, Exscientia chief executive Professor Andrew Hopkins described the trials as a "key milestone in drug discovery" and noted that there are "billions" of decisions needed to find the right molecules for a drug, making their eventual creation a "huge decision." With AI, however, "the beauty of the algorithm is that they are agnostic, so can be applied to any disease."

Read More - Engadget

Share RecommendKeepReplyMark as Last Read
Previous 10 Next 10