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Nejlepší příslušenství k počítači. Osvědčené klávesnice, myši, routery a drobnosti pod stromeček

Živě.cz - 3 hodiny 12 min zpět
Tipy na užitečné příslušenství k počítačům • Poradíme, s jakými produkty neuděláte chybu • Od drobností do USB až po routery a tiskárny
Kategorie: IT News

Šéf ESA varuje: Musíme se postavit Muskovi a SpaceX, jinak bude o všem rozhodovat

Živě.cz - 4 hodiny 36 min zpět
Evropská vesmírná agentura patří k lídrům průzkumu vesmíru • Evropa ale nedokáže konkurovat inovačnímu tlaku z USA • Nový šéf se obává, že Musk bude rozhodovat skoro o všem
Kategorie: IT News

Firefox update brings a whole new sort of security sandbox

Sophos Naked Security - 5 hodin 6 min zpět
Firefox 95.0 is out, with the usual security fixes... plus some funky new ones.

Google Takes Down Glupteba Botnet; Files Lawsuit Against Operators

Threatpost - 5 hodin 7 min zpět
The malware's unique blockchain-enabled backup C2 scheme makes it difficult to eliminate completely.
Kategorie: Hacking & Security

Google Takes Down Glupteba Botnet; Files Lawsuit Against Operators

VirusList.com - 5 hodin 7 min zpět
The malware's unique blockchain-enabled backup C2 scheme makes it difficult to eliminate completely.
Kategorie: Viry a Červi

AI Researchers Fight Noise by Turning to Biology | Quanta Magazine

Home AI - 5 hodin 24 min zpět

Abstractions blogartificial intelligencebrainscomputer sciencedeep learningmachine learningnatural language processingneural …


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Kategorie: Transhumanismus

Researchers from Sea AI Lab and National University of Singapore Introduce ‘PoolFormer …

Home AI - 5 hodin 30 min zpět

The main hype of the last few years in the world of Deep Learning is definitely Transformers. Since their advent in 2017 with the super-cited …


Link to Full Article: Read Here

Kategorie: Transhumanismus

PPF plně ovládne O2, vytěsní všechny minoritní akcionáře

Živě.cz - 5 hodin 36 min zpět
Finanční skupina PPF získala souhlas České národní banky, na základě něhož může vyplatit minoritní akcionáře O2. Od června už PPF vlastnila 90,47 % společnosti, teď může odkoupit i zbylých 28 671 131 akcií. Zaplatí 270 Kč za kus, celkem 7,74 miliardy korun. „Cílem začlenění operátora O2 CR je ...
Kategorie: IT News

ISB summit highlights need for data-based analytics in retail – Telangana Today

Home AI - 5 hodin 54 min zpět

Sauvik Banerjjee, CTO, Tata Digital & TataNeu, explained data science hierarchy of needs- starting from data collection to AI & deep learning.


Link to Full Article: Read Here

Kategorie: Transhumanismus

AI Hallucinates Novel Proteins – IEEE Spectrum

Home AI - 5 hodin 58 min zpět

… experimented with trRosetta, a web-based platform for protein structure prediction powered by deep learning and Rosetta.


Link to Full Article: Read Here

Kategorie: Transhumanismus

Cryptominers aren't just a headache – they're a big neon sign that Bad Things are on your network

The Register - Anti-Virus - 6 hodin 7 min zpět
So says Sophos in warning about Tor2Mine Monero malware

Cryptominer malware removal is a routine piece of the cybersecurity landscape these days. Yet if criminals are hijacking your compute cycles to mine cryptocurrencies, chances are there's something worse lurking on your network too.…

Kategorie: Viry a Červi

Leden začne zostra. Na virtuálním CESu ukážou velké novinky AMD, Intel a Nvidia

Živě.cz - 6 hodin 36 min zpět
Hned začátkem roku 2022 se dočkáme spousty hardwarových novinek od společností jako AMD, Intel a Nvidia. Co všechno lze čekat? Už 4. ledna se v rámci CESu uskuteční online prezentace od AMD a Intelu. AMD by mělo představit nové výkonné mobilní procesory Ryzen 6000H s 6nm architekturou Zen 3+ s ...
Kategorie: IT News

New AI Technology Helps Hospitals Identify COVID-19 Patients Who Require ICU Treatment …

Home AI - 6 hodin 54 min zpět

Deep Learning-Powered Automated System Detects COVID-19 Lesions by Analyzing CT Chest Scans · New Algorithm Reads Data from Smartwatches to Alert …


Link to Full Article: Read Here

Kategorie: Transhumanismus

Amazon SageMaker Studio Lab from the Eyes of an MLOps Engineer – The New Stack

Home AI - 7 hodin 2 min zpět

… for building and deploying machine learning and deep learning. The APIs have matured, and so are the infrastructure and platform services.


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Kategorie: Transhumanismus

Firefox 95.0

AbcLinuxu [zprávičky] - 7 hodin 8 min zpět
Webový prohlížeč Mozilla Firefox byl vydán ve verzi 95.0. Mezi změnami figuruje např. povolení Site Isolation všem uživatelům a izolace vybraných knihoven RLBox na všech platformách.
Kategorie: GNU/Linux & BSD

Legal Software (Focus On Machine Learning) Market Size By Type 2021 Growth Prospects …

Home AI - 7 hodin 13 min zpět

Machine Learning And Deep Learning Natural Language Processing. By Deployment Mode: Cloud On-Premise. Major Market Players


Link to Full Article: Read Here

Kategorie: Transhumanismus

DeepMind’s AI Helped Crack Two Mathematical Puzzles That Stumped Humans for Decades

Singularity HUB - 7 hodin 1 min zpět

With his telescope, Galileo gathered a vast trove of observations on celestial objects. With his mind, he found patterns in that universe of data, creating theories on motion and mechanics that paved the way for modern science.

Using AI, DeepMind just gave mathematicians a new telescope.

Working with two teams of mathematicians, DeepMind engineered an algorithm that can look across different mathematical fields and spot connections that previously escaped the human mind. The AI doesn’t do all the work—when fed sufficient data, it finds patterns. These patterns are then passed on to human mathematicians to guide their intuition and creativity towards new laws of nature.

“I was not expecting to have some of my preconceptions turned on their head,” said Dr. Marc Lackenby at the University of Oxford, one of the scientists collaborating with DeepMind, to Nature, where the study was published.

The AI comes just a few months after DeepMind’s previous triumph in solving a 50-year-old challenge in biology. This is different. For the first time, machine learning is aiming at the core of mathematics—a science for spotting patterns that eventually leads to formally-proven ideas, or theorems, about how our world works. It also emphasized collaboration between machine and man in bridging observations to working theorems.

“Human creativity enables mathematicians to instinctively understand where to look for emerging patterns,” said Dr. Christian Stump at the Ruhr University Bochum, who was not involved in the study but wrote an accompanying article.

Why Math?

I, like many others, still get panicky when thinking back to math classes in school. But what we learned there just scratched the surface of this fantastical world. Math isn’t just about numbers or algebra or geometry. It peeks into fundamental rules that may guide how our world works. Practically speaking, it laid the foundation that gave us computers and helped enable the AI algorithms that now power much of the online world.

The reason is that math tries to find patterns in data. Take one example: gravity. By examining how things fall—and on the shoulders of giants including Galileo—Isaac Newton took those observations, found patterns in them, and distilled those patterns into an equation. While that may sound boring, without that process we wouldn’t have flights, rockets, or space travel.

Math follows a cycle, said Stump. You start with a few relevant examples—say, the shape of things or dropping stuff from different heights—gather data, and then compute some of their properties and analyze the possible relationship of those properties until a pattern emerges. Mathematicians then keep testing these ideas in a more general or more complicated setting. If weird things pop up, then it’s time to update the pattern. The cycle continues and eventually leads to a new theorem.

This is great news in our digital world. We’re now producing data exponentially, meaning there’s been more data than ever to mine. The problem? It’s too much for any one mathematician to make sense of in his or her lifetime.

Enter AI

One thing AI is exceptionally good at is finding patterns in vast amounts of data.

Mathematicians have previously used software to help crunch numbers in their search for new theorems. But machine learning has been persona non grata, partly because it’s inherently probabilistic. Due to its design, these algorithms can only provide guesses, not certainty. And math requires certainty.

The solution? A man-machine tag team.

Reasoning that AI can provide insights that guide new mathematical ideas, DeepMind teamed up with Lackenby, Dr. András Juhász at Oxford University, and Dr. Geordie Williamson at the University of Sydney to probe two mathematical worlds: the theory of knots and the study of symmetries. Both address long-standing open questions that could influence our understanding of the world.

Take knot theory. On the surface, it’s about how a piece of rope ties into knots and what type of knots (important for both climbers and fishermen). But at its core, the theory contains mathematical principles that can help guide quantum computing—similar to how previous expansions from math and logic gave us our current computers.

Knot theory is especially alluring because different branches of mathematics—algebra, geometry, and quantum theory—share “unique perspectives,” wrote the DeepMind team in a blog post. But “a long-standing mystery is how these different branches relate.”

In the study, the team trained a machine learning model to bridge those connections. The AI was influenced by a trick in computer vision called saliency maps. Briefly, these maps are especially powerful at finding spots that carry more information—akin to the difference between a person’s eyes focusing in on something versus a random blurred-out backgrounds. Here, the maps pointed out especially interesting properties about geometry—a “signature”—that hint at an important aspect that’s previously been overlooked.

“Together [with Lackenby] we were then able to prove the exact nature of the relationship, establishing some of the first connections between these different branches of mathematics,” wrote the DeepMind authors.

In another proof of concept, DeepMind teamed up with Williamson to solve a problem in symmetries, which touches many other branches of math. Traditionally, mathematicians have studied it using charts or graphs. But like rendering a high-definition movie in 3D, the job quickly becomes too complicated, time-consuming, and even “beyond human comprehension.”

With a tailored AI, DeepMind discovered several interesting patterns in the field—so compelling that Williamson pursued them. He formulated a conjecture (something that’s apparently true based on all known data but remains to be proven with rigorous mathematics).

“I was just blown away by how powerful this stuff is,” said Williamson. “I think I spent basically a year in the darkness just feeling the computers knew something that I didn’t.”

What’s Next?

DeepMind has been steadily proving that machine learning isn’t just for games and play, but has a multitude of practical uses From solving core biological principles to predicting gene expression with AI, and now aiding mathematicians in their quest to find new theorems, AI is increasingly bolstering advancements in science.

But human intuition remains impossible to replicate. Due to the algorithm’s probabilistic nature—that is, it can only provide guesses—it’s on the human mathematicians to use existing methods to formally assess and prove the AI’s results. But the algorithm serves as a guide. Like a lighthouse, it points mathematicians in directions that are potentially correct. But ultimately, it’s up to the humans to use their judgment, intuition, and rigorous work to find the resulting breakthroughs. In this way, men and machines can propel each other’s learnings forward in a virtuous cycle.

For now, the AI has only been tested in limited cases. This particular AI can’t yet apply to all mathematical fields, partly because it’s relatively data-hungry. However, compared to many machine learning algorithms, it is energy efficient—enough to run on a laptop. And the mathematical community is “casually open-minded.”

“Neither result is necessarily out of reach for researchers in these areas, but both provide genuine insights that had not previously been found by specialists,” said Stump.

The DeepMind team is highly aware. “Even if certain kinds of patterns continue to elude modern ML, we hope our Nature paper can inspire other researchers to consider the potential for AI as a useful tool in pure maths,” they wrote. Their code is on Github for anyone to test.

Image Credit: DeepMind

Kategorie: Transhumanismus

Finland’s NinaData raises €1.77M to help brands engage with in-moment audiences in their …

Home AI - 7 hodin 26 min zpět

NinaData helps advertisers by leveraging knowledge graphs and deep learning AI to solve the major issue of the removal of cookies and IDFA.


Link to Full Article: Read Here

Kategorie: Transhumanismus

SpaceX začala na Mysu Canaveral stavět odpalovací rampu pro Starship

Živě.cz - 7 hodin 26 min zpět
Aktualizace 7. prosince SpaceX na Mysu Canaveral zahájila výstavbu odpalovací rampy pro kosmické lodi Starship. Na Twitteru na to nedávno upozornil její šéf Elon Musk. První zkušební orbitální let prototypu SN20 se však v Kennedyho vesmírném středisku neuskuteční. Podle dostupných informací stále ...
Kategorie: IT News

Seoul Robotics Introduces First-of-its-Kind LiDAR Deployment Kit – GlobeNewswire

Home AI - 8 hodin 6 min zpět

Endeavor, the first multi-sensor LiDAR solution to offer edge processing with deep learning, further streamlines implementation of 3D systems…


Link to Full Article: Read Here

Kategorie: Transhumanismus
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