Transparency advocatesoften claim that by reviewing a program’s disclosed source code, an analyst will be able to determine how a program behaves.47Indeed, the very idea that transparency allows outsiders to understand how a system functions is predicated on the usefulness of static analysis. But this claim is belied by the extraordinary difficulty of identifying even genuinely malicious code (“malware”), a task which has spawned a multibillion-dollar industry based largely on the careful review of code samples collected acrossthe internet.

On the simplest level, some programming languages are designed to prevent certain classes of mistakes. For example, some are designed in such a way that it is impossible to make the mistake that caused the Heartbleed bug.45These techniques have also been deployed in the aviation industry, for example, to ensure that the software that provides guidance functionality on rockets, airplanes, satellites, and scientific probes does not ever crash, as software failures have caused the losses of several vehicles in the past

static methods on their own say nothing about how a program interacts with its environment

Code can be complicated or obfuscated, and even expert analysis often misses eventual problems with the behavior of the program.

two testing methodologies

Test Driven Development (TDD) is a software engineering methodology practiced by many major software companies

Larry analyzes your historical and real-time data to create an entire social media strategy for you.

这张图给出了谷歌在2015年提出的Inception-v3模型。这个模型在ImageNet数据集上可以达到95%的正确率。然而，这个模型中有2500万个参数，分类一张图片需要50亿次加法或者乘法运算。

AlphaGo is going out on top. After beating Ke Jie, the world’s best player of the ancient Chinese board game Go, for the third time today at the Future of Go Summit in Wuzhen, Google’s DeepMind unit announced that it would be the last event match the AI plays.

Unanimous A.I. used a technology called “swarm intelligence” to coordinate a group of racing fans to correctly predict the Kentucky Derby superfecta (the first four places, in order). The swarm beat 540-to-1 odds, along with the most-trusted handicappers in the world.

She and her colleagues are using neural networks—complex mathematical systems for identifying patterns in data—to recognize diabetic retino­pathy, a leading cause of blindness among US adults.

Previously, Alexa lived inside speakers. Now, it’s in a camera.

The first, say, one hour and thirty-five minutes of The Circle are enormously powerful, in an intelligent, worry-inducing kind of way. The film’s last fifteen minutes, which feel rushed, don’t quite measure up. The ending is ambiguous, confusing, and strangely open-ended. But maybe that’s only appropriate. It feels the most like reality.

How Artificial Intelligence Will Transform Education

areas where deep learning is currently being poorly utilized

highly automated tools for training deep learning models

The best way we can help these people is by giving them the tools and knowledge to solve their own problems, using their own expertise and experience.

Elon Musk’s neural lace project could turn us all into cyborgs, and he says that it’s only four or five years away.

Corporate thought leaders have now realized that it is a much greater challenge to actually apply that data. The big takeaways in this topic are that data has to be seen to be acknowledged, tangible to be appreciated, and relevantly presented to have an impact. Connecting data on the macro level across an organization and then bringing it down to the individual stakeholder on the micro level seems to be the key in getting past the fact that right now big data is one thing to have and quite another to unlock.

The tech company is still preparing itself for what’s next—whether it’s virtual reality or a Matrix-like pill with which one could hallucinate entertainment.

What emerged was a prototype for a feature that could let blind or visually impaired people put their fingers over an image and have their phones read them a description of what’s happening.

“Facebook today cannot exist without AI. Every time you use Facebook or Instagram or Messenger, you may not realize it, but your experiences are being powered by AI.”

Perspective was created by Jigsaw and Google’s Counter Abuse Technology team in a collaborative research project called Conversation-AI.

In a world of rapidly evolving science and technology, imagination and moral foresight are our greatest human advantage.

Learn more about AMC’s Humans and tune in to the season two premiere on Monday, February 13, at 10/9c.

there are now popular game playing competitions and platforms which drive AI research

Yes, they discussed the possibility of a superintelligence that could somehow escape human control

So, they descended on a coastal retreat called Asilomar, a name that became synonymous with the guidelines they laid down at this meeting—a strict ethical framework meant to ensure that biotechnology didn’t unleash the apocalypse.

For all the talk of AI, it always seems that gossip is faster than progress. But it could be that within this century, we will fully realize the visions science fiction has promised us, says Dr. Ben Goertzel – for better or worse.

Social Out, VR In: We Analyzed Thousands Of Early-Stage Startup Descriptions To See Where Tech Is Headed Next

Microsoft Confirms Its Chinese-Language Chatbot Filters Certain Topics

Big Data

DNC stores 'temporal links' to keep track of the order things were written in

changes scare many people, whereas in fact they contain the potential to free us,

The Tesla accident in May, researchers say, was not a failure of computer vision. But it underscored the limitations of the science in applications like driverless cars despite remarkable progress in recent years, fueled by digital data, computer firepower and software inspired by the human brain.

A few cognitive scientists – notably Anthony Chemero of the University of Cincinnati, the author of Radical Embodied Cognitive Science (2009) – now completely reject the view that the human brain works like a computer. The mainstream view is that we, like computers, make sense of the world by performing computations on mental representations of it, but Chemero and others describe another way of understanding intelligent behaviour – as a direct interaction between organisms and their world.

Misleading headlines notwithstanding, no one really has the slightest idea how the brain changes after we have learned to sing a song or recite a poem. But neither the song nor the poem has been ‘stored’ in it. The brain has simply changed in an orderly way that now allows us to sing the song or recite the poem under certain conditions. When called on to perform, neither the song nor the poem is in any sense ‘retrieved’ from anywhere in the brain, any more than my finger movements are ‘retrieved’ when I tap my finger on my desk. We simply sing or recite – no retrieval necessary.

most important democratizing technology on the horizon

The top players, it turns out, can’t fully access their own knowledge about how they’re able to perform so well. This self-ignorance is common to many human abilities, from driving a car in traffic to recognizing a face. This strange state of affairs was beautifully summarized by the philosopher and scientist Michael Polanyi, who said, “We know more than we can tell.” It’s a phenomenon that has come to be known as “Polanyi’s Paradox.”

OpenAI is a non-profit artificial intelligence research company. Our goal is to advance digital intelligence in the way that is most likely to benefit humanity as a whole, unconstrained by a need to generate financial return.

Big Sur is our newest Open Rack-compatible hardware designed for AI computing at a large scale. In collaboration with partners, we've built Big Sur to incorporate eight high-performance GPUs

artificial intelligence

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