In fact, it could be transforming how we communicate as a species. It could even usher in the age of telepathy: Recent developments in brain-machine interfacing highlight its benefits, from treating mental health conditions to controlling objects with the mind, such as wheelchairs and robotic prosthetics.
With devices supercharged with artificial intelligence and, potentially, the computational power of quantum computers, technology could cognitively emancipate millions, if not billions, of people around the world.
Intel will build AI brains into your laptop for tomorrow's speed boost
Your laptop won't be behind your phone in the AI race much longer.Intel's Nervana NNP-I chips are designed to be crammed into data centers for AI tasks like translating text or analyzing photos.
AI-powered brain-interface technologies could make people smarter by helping them make better decisions, improve working memory, and process more information more efficiently.
An AI-infused brain would truly revolutionize how, and how quickly, we learn by making it possible to upload knowledge of a number of domains directly to our brains, including in high- skill fields such as engineering, law, medicine, and science.
It could marriage human creativity with the processing power of AI, thus bringing cognitive superpowers to every person on the planet and unleashing a new era in human productivity.
How smart is too smart?
But what happens when everyone is equally as smart as everyone else? How do we value skilled labor that is potentially readily available for anyone, anywhere?
Elon Musk said his brain chips might 'solve' autism and schizophrenia. A neuroscientist who implants brain chips has doubts.
A Columbia University neuroscientist says that it's possible the brain chips could instead help paralyzed patients go bionic. In July, Musk announced that he's hoping to implant the first Neuralink brain-tech connection system into a human before the end of 2020, to "achieve a sort of symbiosis with artificial intelligence.
According to the market theory of wages, how much someone gets paid is in part determined by the number of workers available and the number of workers needed for a job. Meaning AI-powered brain-interfaces could upend the fundamentals of market economics.
Video: A.I. fuels unprecedented growth in health and science (Global news)
How do we value skilled labor that is potentially readily available for anyone, anywhere?Lawyers and doctors are typically paid more than manual laborers because of the relative shorter supply of lawyers and doctors, which is in part due to the number of years of training required to enter those professions and the corresponding value society attributes to those skills. But what will happen to their wages once the market is faced with an abundance of skilled labor? If anyone is able to upload legal or medical know-how to their brain and know just as much as the professionals in those fields, why pay a professional a higher wage?
Intel is losing against AMD
When AMD launched its third-generation Zen 2 Ryzen processors earlier this year, Intel had to be sweating. Its rival had developed an all-new architecture with improvements to clock speed, core count and instructions per clock and promised performance that matched -- and even beat -- Intel's CPUs. Then, along came AMD's mainstream 12-core and 16-core Ryzen 9 3900x and 3950X CPUs, which doubled the thread count of competing i9-9900 series chips. That threatened not only Intel's gaming market but muscled in on its workstation territory. To compete, Intel was forced to launch the Cascade Lake i9-10980X at $999 -- half the price of the previous 9980XE model.
Of course, certain skills, such as strategic judgment and contextual understanding, may be difficult, if not impossible, to digitize. But even the games of chess and Go, both complex games that require strategic decision-making and foresight, have now been conquered by AIs that taught themselves how to play—and beat—some of the best human players.
The technology’s potential for emancipation and human advancement is immense. But we—entrepreneurs, researchers, professionals, policymakers, and industry—must not lose sight of the social risks.
The biggest issues facing the nascent brain-interface industry are security, surveillance, and privacy. How to protect the brain from corruption, viruses, and remote control will redefine cybersecurity as a whole as it morphs into the cyborg-security needed to shield the brain from foreign invasion.
Instead of hacking into our computer mainframes, malicious actors would be able to manipulate people for financial, political, or even romantic advantage. Fake thoughts or fake memories may cause people to act in ways they otherwise wouldn’t.
Forget the Snapdragon 865. Qualcomm's midrange chip will spread 5G faster
The Snapdragon 765 has something its more powerful sibling doesn't: integrated 5G. That means less-expensive phones with longer battery life.On Tuesday at its conference in Maui, Qualcomm unveiled its three newest processors for smartphones. Most of the Android phones coming out next year in markets like the US will use one of the three chips.
The brain, as the final frontier of one’s privacy, will undoubtedly come under attack. Mental data collection efforts—or methods to collect data from one’s thoughts—will be able to mine our minds for our deepest desires, whether conscious or unconscious. Regulation—of access, quality, and security—will therefore play a central role in how we develop, deploy, and protect these technologies, without stifling innovation.
Transparency will be another major issue. It seems logical that people should disclose when they use these AI-powered brain-interfaces. You may have to ask your doctor whether the advice she gives is based on her human knowledge and experience, or some type of human-AI mix. Again, the question arises of how to ensure regulation without censorship. Where to draw the line and how to divorce the human from the artificial may become increasingly difficult to determine, as technological permeation accelerates into the human mind.
Related: ‘Brain chips’ could make people superintelligent within five years (Yahoo! News)
Breeding futuristic know-it-alls will also impact our perception of status and power in society. If you can do any job you’d like, and know anything about everything at the tap of your temple, our perceptions of job hierarchy and social status, especially in knowledge fields, will likely shift more decisively from what one knows to what one does with that knowledge.
Real-life Tony Stark has 4 computer chips implanted in his hands
Education, and educational institutions, would need to adapt accordingly. If knowledge can be uploaded overnight, what will the students of the future do in school? How will universities cope with this influx of already knowledgeable students? How would they be tested?
The knowledge-based economy may give way to one that values creativity and interpersonal skills over everything else, freeing people to make new connections and discoveries to resolve human, social, scientific, and commercial problems, and to discover new fields of inquiry that are currently invisible to our biological minds.
Biased data fed directly into the minds of thousands of people could also amplify structural inequalities across society by creating psychological bubbles that reinforce, or exacerbate, existing biases or create new ones. Who will be the gatekeepers and curators—the cognitive publishers, the knowledge suppliers—of these mental feeds? And how will trust be brokered?
This could easily lead to new social barriers, unless robust legislative and ethical frameworks can be implemented to protect against these risks.
A super class
As with any new technology, the of cost of cutting-edge AI-powered products are likely to be prohibitively high.
This runs the risk of creating a new super-class of people who can forever change the structure of a meritocratic society.
To prevent this from happening, industry leaders need to find a way to provide technology that is affordable and accessible so that cost is not a discriminatory barrier.
AMD vs Intel: CPUs at CES
Aside from a few laptop launches, recently CES hasn't brought much computer news. AMD seems intent on changing that, launching the Radeon VII last year, and this year announcing a slate of new mobile processors. While AMD's chips may be changing the desktop landscape, bringing eight, twelve, and now sixteen cores processors within reach of the average desktop user, they've struggled in the mobile space. Put simply, AMD's current desktop chipsPut simply, AMD's current desktop chips are too slow, use too much power, and were a generation behind the minute they launched.
Gallery: 23 Hilarious Predictions About the Year 2020 Made Long Ago (Best Life)
As the technology we use—and how we use it—changes, entrepreneurs need to proactively lead the debate by proposing innovative solutions in anticipation of some of these problems. At the very least, industry, government, and civil society should develop an ethical framework to guide the development and use of AI-powered brain-machine interfaces.
Ultimately, these new technologies force us to think more deeply about the nature of the human condition. They may mark the evolution of a species that has survived precisely because of technological innovation and adaptation. Or, they may mark a more sinister turning point, where social and cultural norms were disrupted to the detriment of social equality.
As with all technology, the devil lies in how we—humans—decide to use it.
Intel Comet Lake release date, news and features .
Right now it looks like Intel's Comet Lake is going to be the follow-up to Coffee Lake Refresh. But, what will Intel Comet Lake look like?Announced in August 2019, the 10th-generation Comet Lake processors have been designed alongside Intel’s Ice Lake processors for laptops. Both were also released around the same time, together making up Intel’s 10th-generation Core lineup. The major difference between these two is the manufacturing process, with Ice Lake being the first 10nm processors Intel has put out in the mainstream and part of Project Athena, and Comet Lake being yet another iteration of the 14nm Skylake architecture.