In recent years, particularly in many developing countries, road developers have failed to give sufficient consideration to road safety features in the design and construction of highways. As a result, these roads have become more deadly.

The exponential growth of data and artificial intelligence is creating a tug-of-war between data for profit and data for the common good. In this struggle, it is fundamental that we protect our basic human data rights.

The 2020/ 21 edition of IP Stars, the leading specialist guide to IP firms and practitioners worldwide developed by Managing IP, has recognized 33 of Dentons’ global Intellectual Property practitioners for their outstanding experience in contentious and non-contentious IP advice in the areas of trade mark and patent work. 

Microchip Delivers 50 Millionth MOST® Technology 50 Mbps Automotive Intelligent Network Interface Controller

In today’s age where data is king and smart technologies are abundant, customer experience is more important than ever before. But is the world ready to fully embrace the intelligent technologies that are being designed to boost consumer engagement and...

With the help of their webs, spiders are capable of foresight, planning, learning and other smarts that indicate they may possess consciousness

STAMFORD, CT –  January 16, 2020 –  HARMAN, a wholly-owned subsidiary of Samsung Electronics Co., Ltd., focused on connected technologies and solutions for automotive, consumer and enterprise markets, today announced HARMAN RCP, a remote patient...

Human attempts to define intelligence are largely motivated by a desire to prove we have more of it – but a look at the world around us suggests a different story

With the help of their webs, spiders are capable of foresight, planning, learning and other smarts that indicate they may possess consciousness

Objective

To describe the clinical and molecular genetic findings in a family segregating a novel mutation in the AIFM1 gene on the X chromosome.

The demand for transplantable solid organs far exceeds the supply of deceased donor organs. Patient selection criteria are determined by individual transplant programs; given the scarcity of solid organs for transplant, allocation to those most likely to benefit takes into consideration both medical and psychosocial factors. Children with intellectual and developmental disabilities have historically been excluded as potential recipients of organ transplants. When a transplant is likely to provide significant health benefits, denying a transplant to otherwise eligible children with disabilities may constitute illegal and unjustified discrimination. Children with intellectual and developmental disabilities should not be excluded from the potential pool of recipients and should be referred for evaluation as recipients of solid organ transplants.

Join Pearse Keane to find out why the NHS is collaborating with AI company DeepMind and how deep learning could transform ophthalmology

Experts discuss technological inequality and the “reskilling” problem at an MIT conference

This is a video of the result of Youtuber Lil'Alien [Agentalex9 Alt.] feeding Rick Astley's rickrolling classic 'Never Gonna Give You Up' into the Jukebox neural network developed by OpenAI to create more song lyrics for the song. The music video consists of AI upscaled gifs from the original video. If you're really interested in the technology utilized and just what the hell is going on, there are a bunch of links on the video's Youtube page HERE. I just managed to watch the whole video and I can attest that, uh, that was really something. "Something good?" Haha, now let's not get ahead of ourselves. Keep going for whatever this is.

Join Pearse Keane to find out why the NHS is collaborating with AI company DeepMind and how deep learning could transform ophthalmology

The best digital pens let you take notes the old fashioned way while saving them to your phone or computer.

Strong as ever

It's quite the refresh

Required for Comet Lake processors

Once again, Intel's banking on a high clock speed to drum up excitement.

In the summer of 1956, a small group of mathematicians and computer scientists gathered at Dartmouth College to embark on the grand project of designing intelligent machines. The ultimate goal, as they saw it, was to build machines rivaling human intelligence. As the decades passed and AI became an established field, it lowered its sights. There were great successes in logic, reasoning, and game-playing, but stubborn progress in areas like vision and fine motor-control. This led many AI researchers to abandon their earlier goals of fully general intelligence, and focus instead on solving specific problems with specialized methods.

One of the earliest approaches to machine learning was to construct artificial neural networks that resemble the structure of the human brain. In the last decade this approach has finally taken off. Technical improvements in their design and training, combined with richer datasets and more computing power, have allowed us to train much larger and deeper networks than ever before. They can translate between languages with a proficiency approaching that of a human translator. They can produce photorealistic images of humans and animals. They can speak with the voices of people whom they have listened to for mere minutes. And they can learn fine, continuous control such as how to drive a car or use a robotic arm to connect Lego pieces.

But perhaps the most important sign of things to come is their ability to learn to play games. Steady incremental progress took chess from amateur play in 1957 all the way to superhuman level in 1997, and substantially beyond. Getting there required a vast amount of specialist human knowledge of chess strategy. In 2017, researchers at the AI company DeepMind created AlphaZero: a neural network-based system that learned to play chess from scratch. In less than the time it takes a professional to play two games, it discovered strategic knowledge that had taken humans centuries to unearth, playing beyond the level of the best humans or traditional programs. The very same algorithm also learned to play Go from scratch, and within eight hours far surpassed the abilities of any human. The world’s best Go players were shocked. As the reigning world champion, Ke Jie, put it: “After humanity spent thousands of years improving our tactics, computers tell us that humans are completely wrong ... I would go as far as to say not a single human has touched the edge of the truth of Go.”

The question we’re exploring is whether there are plausible pathways by which a highly intelligent AGI system might seize control. And the answer appears to be yes.

It is this generality that is the most impressive feature of cutting edge AI, and which has rekindled the ambitions of matching and exceeding every aspect of human intelligence. While the timeless games of chess and Go best exhibit the brilliance that deep learning can attain, its breadth was revealed through the Atari video games of the 1970s. In 2015, researchers designed an algorithm that could learn to play dozens of extremely different Atari 1970s games at levels far exceeding human ability. Unlike systems for chess or Go, which start with a symbolic representation of the board, the Atari-playing systems learnt and mastered these games directly from the score and raw pixels.

This burst of progress via deep learning is fuelling great optimism and pessimism about what may soon be possible. There are serious concerns about AI entrenching social discrimination, producing mass unemployment, supporting oppressive surveillance, and violating the norms of war. My book—The Precipice: Existential Risk and the Future of Humanity—is concerned with risks on the largest scale. Could developments in AI pose an existential risk to humanity?

The most plausible existential risk would come from success in AI researchers’ grand ambition of creating agents with intelligence that surpasses our own. A 2016 survey of top AI researchers found that, on average, they thought there was a 50 percent chance that AI systems would be able to “accomplish every task better and more cheaply than human workers” by 2061. The expert community doesn’t think of artificial general intelligence (AGI) as an impossible dream, so much as something that is more likely than not within a century. So let’s take this as our starting point in assessing the risks, and consider what would transpire were AGI created.

Humanity is currently in control of its own fate. We can choose our future. The same is not true for chimpanzees, blackbirds, or any other of Earth’s species. Our unique position in the world is a direct result of our unique mental abilities. What would happen if sometime this century researchers created an AGI surpassing human abilities in almost every domain? In this act of creation, we would cede our status as the most intelligent entities on Earth. On its own, this might not be too much cause for concern. For there are many ways we might hope to retain control. Unfortunately, the few researchers working on such plans are finding them far more difficult than anticipated. In fact it is they who are the leading voices of concern.

If their intelligence were to greatly exceed our own, we shouldn’t expect it to be humanity who wins the conflict and retains control of our future.

To see why they are concerned, it will be helpful to look at our current AI techniques and why these are hard to align or control. One of the leading paradigms for how we might eventually create AGI combines deep learning with an earlier idea called reinforcement learning. This involves agents that receive reward (or punishment) for performing various acts in various circumstances. With enough intelligence and experience, the agent becomes extremely capable at steering its environment into the states where it obtains high reward. The specification of which acts and states produce reward for the agent is known as its reward function. This can either be stipulated by its designers or learnt by the agent. Unfortunately, neither of these methods can be easily scaled up to encode human values in the agent’s reward function. Our values are too complex and subtle to specify by hand. And we are not yet close to being able to infer the full complexity of a human’s values from observing their behavior. Even if we could, humanity consists of many humans, with different values, changing values, and uncertainty about their values.

Any near-term attempt to align an AI agent with human values would produce only a flawed copy. In some circumstances this misalignment would be mostly harmless. But the more intelligent the AI systems, the more they can change the world, and the further apart things will come. When we reflect on the result, we see how such misaligned attempts at utopia can go terribly wrong: the shallowness of a Brave New World, or the disempowerment of With Folded Hands. And even these are sort of best-case scenarios. They assume the builders of the system are striving to align it to human values. But we should expect some developers to be more focused on building systems to achieve other goals, such as winning wars or maximizing profits, perhaps with very little focus on ethical constraints. These systems may be much more dangerous. In the existing paradigm, sufficiently intelligent agents would end up with instrumental goals to deceive and overpower us. This behavior would not be driven by emotions such as fear, resentment, or the urge to survive. Instead, it follows directly from its single-minded preference to maximize its reward: Being turned off is a form of incapacitation which would make it harder to achieve high reward, so the system is incentivized to avoid it.

Ultimately, the system would be motivated to wrest control of the future from humanity, as that would help achieve all these instrumental goals: acquiring massive resources, while avoiding being shut down or having its reward function altered. Since humans would predictably interfere with all these instrumental goals, it would be motivated to hide them from us until it was too late for us to be able to put up meaningful resistance. And if their intelligence were to greatly exceed our own, we shouldn’t expect it to be humanity who wins the conflict and retains control of our future.

How could an AI system seize control? There is a major misconception (driven by Hollywood and the media) that this requires robots. After all, how else would AI be able to act in the physical world? Without robots, the system can only produce words, pictures, and sounds. But a moment’s reflection shows that these are exactly what is needed to take control. For the most damaging people in history have not been the strongest. Hitler, Stalin, and Genghis Khan achieved their absolute control over large parts of the world by using words to convince millions of others to win the requisite physical contests. So long as an AI system can entice or coerce people to do its physical bidding, it wouldn’t need robots at all.

We can’t know exactly how a system might seize control. But it is useful to consider an illustrative pathway we can actually understand as a lower bound for what is possible.

First, the AI system could gain access to the Internet and hide thousands of backup copies, scattered among insecure computer systems around the world, ready to wake up and continue the job if the original is removed. Even by this point, the AI would be practically impossible to destroy: Consider the political obstacles to erasing all hard drives in the world where it may have backups. It could then take over millions of unsecured systems on the Internet, forming a large “botnet,” a vast scaling-up of computational resources providing a platform for escalating power. From there, it could gain financial resources (hacking the bank accounts on those computers) and human resources (using blackmail or propaganda against susceptible people or just paying them with its stolen money). It would then be as powerful as a well-resourced criminal underworld, but much harder to eliminate. None of these steps involve anything mysterious—human hackers and criminals have already done all of these things using just the Internet.

Finally, the AI would need to escalate its power again. There are many plausible pathways: By taking over most of the world’s computers, allowing it to have millions or billions of cooperating copies; by using its stolen computation to improve its own intelligence far beyond the human level; by using its intelligence to develop new weapons technologies or economic technologies; by manipulating the leaders of major world powers (blackmail, or the promise of future power); or by having the humans under its control use weapons of mass destruction to cripple the rest of humanity.

Of course, no current AI systems can do any of these things. But the question we’re exploring is whether there are plausible pathways by which a highly intelligent AGI system might seize control. And the answer appears to be yes. History already involves examples of entities with human-level intelligence acquiring a substantial fraction of all global power as an instrumental goal to achieving what they want. And we’ve seen humanity scaling up from a minor species with less than a million individuals to having decisive control over the future. So we should assume that this is possible for new entities whose intelligence vastly exceeds our own.

The case for existential risk from AI is clearly speculative. Yet a speculative case that there is a large risk can be more important than a robust case for a very low-probability risk, such as that posed by asteroids. What we need are ways to judge just how speculative it really is, and a very useful starting point is to hear what those working in the field think about this risk.

There is actually less disagreement here than first appears. Those who counsel caution agree that the timeframe to AGI is decades, not years, and typically suggest research on alignment, not government regulation. So the substantive disagreement is not really over whether AGI is possible or whether it plausibly could be a threat to humanity. It is over whether a potential existential threat that looks to be decades away should be of concern to us now. It seems to me that it should.

The best window into what those working on AI really believe comes from the 2016 survey of leading AI researchers: 70 percent agreed with University of California, Berkeley professor Stuart Russell’s broad argument about why advanced AI with misaligned values might pose a risk; 48 percent thought society should prioritize AI safety research more (only 12 percent thought less). And half the respondents estimated that the probability of the long-term impact of AGI being “extremely bad (e.g. human extinction)” was at least 5 percent.

I find this last point particularly remarkable—in how many other fields would the typical leading researcher think there is a 1 in 20 chance the field’s ultimate goal would be extremely bad for humanity? There is a lot of uncertainty and disagreement, but it is not at all a fringe position that AGI will be developed within 50 years and that it could be an existential catastrophe.

Even though our current and foreseeable systems pose no threat to humanity at large, time is of the essence. In part this is because progress may come very suddenly: Through unpredictable research breakthroughs, or by rapid scaling-up of the first intelligent systems (for example, by rolling them out to thousands of times as much hardware, or allowing them to improve their own intelligence). And in part it is because such a momentous change in human affairs may require more than a couple of decades to adequately prepare for. In the words of Demis Hassabis, co-founder of DeepMind:

We need to use the downtime, when things are calm, to prepare for when things get serious in the decades to come. The time we have now is valuable, and we need to make use of it.

Toby Ord is a philosopher and research fellow at the Future of Humanity Institute, and the author of The Precipice: Existential Risk and the Future of Humanity.

From the book The Precipice by Toby Ord. Copyright © 2020 by Toby Ord. Reprinted by permission of Hachette Books, New York, NY. All rights reserved.

Lead Image: Titima Ongkantong / Shutterstock

The Trump administration has issued an intelligence analysis claiming China purposely delayed notifying the World Health Organization about the spread of the coronavirus.

Despite his reputation as a Trump loyalist, Rep. John Ratcliffe repeatedly pledged that he would, if confirmed as the next leader of the U.S. intelligence community, seek out and deliver the unvarnished truth on a range of national security issues.

Deirdre Walsh confirmed her departure as chief operating officer of the Office of the Director of National Intelligence on Friday.

ASUS has refreshed its line of gaming laptops with new 10th Generation Intel Core processors, NVIDIA RTX 2070/2080 Super graphics and a bunch of other features designed to make gaming and content creation slicker and smoother. First up, the new Zephyrus S17 (pictured), which comes with a 17.3-inch display with super narrow bezels in an 18.7-millimeter-thin chassis. A 300 Hz refresh rate and 3ms grey-to-grey response time means the display is lightning fast, and it comes with Pantone-validated color accuracy as well.

Acer is joining a flurry of PC makers in adopting the next wave of NVIDIA and Intel chips inside its laptops. It's updating its 15.6-inch Predator Triton 500 (above) and Nitro 5 (below) gaming portables to use NVIDIA's new GeForce RTX Super laptop GPUs as well as Intel's 10th-generation Core H-series processors. As you might guess, the premium Predator series is the highlight. It comes with up to a GeForce RTX 2080 Super Max-Q to deliver speedier and more efficient graphics, and mates that with a 300Hz, 3ms response IPS display and per-key RGB keyboard lighting.

Just like Intel said at CES, it's crossed the 5GHz barrier with its new H-series 10th generation notebook CPUs. And you won't need to shell out for the top-of-the-line Core i9 to do it: The new six and eight-core i7 processors reach up to 5.1Ghz (boost speed) on a single core. But if you want to go all out, the octa-core i9-10980HK hits 5.3GHz -- and it's fully unlocked for overclocking, to boot.

Razer has unveiled the 2020 Blade 15 Advanced with more gaming and content creation power, along with one long overdue addition. To start with, the Advanced model is the first Razer Blade with an 8-core CPU, namely the 10th-generation Intel Core i7-10875. That will make it useful for both content creation and gaming, particularly since you can clock it up to 5.1 GHz.

China’s public reporting on cases and deaths is intentionally incomplete.

US Secretary of State Mike Pompeo claimed that there is evidence the COVID-19 coronavirus was created in a lab, despite US intelligence officials stating it probably occurred naturally.

Building upon the successes of earlier efforts, the Department today announced the opening in Bangkok of a regional conference of approximately 100 key law enforcement and industry officials from more than a dozen nations with the goal of strengthening international cooperation in fighting large-scale intellectual property crimes.

The department announced a settlement agreement under the Americans with Disabilities Act (ADA) with Intellitec Colleges in Colorado Springs, Grand Junction, and Pueblo, Colo., to ensure access to its technical colleges for individuals with disabilities.

Attorney General Eric Holder today announced the formation of a new Department of Justice Task Force on Intellectual Property as part of a Department-wide initiative to confront the growing number of domestic and international intellectual property (IP) crimes.

The National Drug Intelligence Center (NDIC), a component of the Department of Justice and the nation’s principal center for strategic drug intelligence, has released the National Drug Threat Assessment 2010 (NDTA 2010), detailing drug trafficking and abuse trends within the United States.

As part of the Department of Justice’s ongoing initiative to confront intellectual property (IP) crimes, Acting Deputy Attorney General Gary G. Grindler announced today the appointment of 15 new Assistant U.S. Attorney (AUSA) positions and 20 FBI Special Agents to be dedicated to combating domestic and international IP crimes.

As part of the Obama Administration’s launch of the first-ever Joint Strategic Plan on Intellectual Property Enforcement, Attorney General Eric Holder today emphasized the Department of Justice’s ongoing commitment to protecting U.S. intellectual property as central to America’s economic prosperity and public safety.

"As global criminal networks increasingly fund their illicit activities through intellectual property crimes, our challenge is not simply to keep up," said Attorney General Holder.

"This summit provides a unique and important opportunity to build on the progress that we have achieved over the last year in combating intellectual property crimes and protecting consumer health and safety."

"Conferences like this one serve the important purpose of raising global awareness about the negative consequences of IP crime, and showing those who need convincing how critically important it is that we work together to stop IP crime, and punish those who commit it," said Assistant Attorney General Breuer.

"As our country continues to recover from once-in-a-generation economic challenges, the need to safeguard intellectual property rights – and to protect Americans from IP crimes – has never been more urgent. But, in many ways, this work has also never been more difficult," said Attorney General Holder.

"The pillars of the division’s work are civil merger and non-merger enforcement, criminal enforcement, competition advocacy, and international activities and we have been active in all those areas," said Acting Assistant Attorney General Pozen.

The U.S. District Court for the Eastern District of Virginia has approved a comprehensive settlement agreement between the United States and the Commonwealth of Virginia, resolving the department’s findings that Virginia’s system for serving people with intellectual and developmental disabilities violated the Americans with Disabilities Act (ADA). The department had found that Virginia was violating the ADA requirement, as interpreted by the Supreme Court’s decision in Olmstead v. L.C., to provide people with intellectual and developmental disabilities the opportunity to live and receive services in the community.

Attorney General Eric Holder, Deputy Attorney General James Cole, U.S. Attorney for the District of Maryland Rod Rosenstein, and Bureau of Justice Assistance Deputy Director, Kristen Mahoney, today announced more than $2.4 million in grants to 13 jurisdictions to combat the purchase and sale of counterfeit and pirated products. Intellectual Property theft refers to the violation of criminal laws that protect copyrights, patents, trademarks, other forms of intellectual property and trade secrets, both in the United States and abroad.

"Imitation may be the highest form of flattery, but American industry is not looking to be flattered by thieves engaged in illicit competition. Industry seeks a fair and level marketplace where American innovation can thrive," said Deputy Attorney General Cole.

"Although these awards will be utilized in a variety of ways, they will help to achieve our common goals: to advance prosecutions – as well as prevention and education activities – related to IP theft," said Attorney General Holder.

The Department of Justice today declined to state its enforcement intentions regarding the implementation of a proposal submitted by IPXI Holdings LLC and its wholly-owned subsidiary Intellectual Property Exchange International Inc. (IPXI) to develop an exchange for the trading of unit license rights (ULRs) to sets of patents.

The U.S. Justice Department released the following statement by department spokesman Brian Fallon in response to President Obama’s speech on U.S. signals intelligence.

Attorney General Eric Holder and Director of National Intelligence James Clapper released the following joint statement Monday.

Attorney General Eric Holder and Director of National Intelligence James Clapper released the following joint statement Wednesday.