In this case, the user performed an image search for nanoparticles. As scientific datasets increase in both size and complexity, the ability to label, filter and search this deluge of information has become a laborious, time-consuming and sometimes impossible task, without the help of automated tools. With this in mind, a team of researchers from the Department of Energy's Lawrence Berkeley National Laboratory (Berkeley Lab) and UC Berkeley are developing innovative machine learning tools to pull contextual information from scientific datasets and automatically generate metadata tags for each file. Scientists can then search these files via a web-based search engine for scientific data, called Science Search, that the Berkeley team is building. As a proof-of-concept, the team is working with staff at Berkeley Lab's Molecular Foundry, to demonstrate the concepts of Science Search on the images captured by the facility's instruments.

If you haven't been paying attention, artificial intelligence is the new player on the field, and it's steadily taking names as it forges ahead into every realm of industry. But is the technology too much for society to handle? Sure, it makes jobs easier and can help with those mundane tasks, but could its integration in the market be more than we bargained for? Some seem to see its amazing benefits while others only see doom and gloom with its development. As AI continues to make inroads into various industries, one needs to question if it can really be all that it promises. Debating both sides of the issue, 13 members of Forbes Technology Council share some of the reasons why AI is either a detriment or a benefit to society.

Future Tense is a partnership of Slate, New America, and Arizona State University that examines emerging technologies, public policy, and society. On March 6, 2016, a small drone belonging to the open-source software company Drone Employee lifted into the Russian sky, traveling across an open field of white snow. Drone flight is relatively unremarkable today, but this particular drone wasn't controlled by anyone. Brought to life by a predetermined agreement, or "smart contract," running on the Ethereum blockchain, the drone's engines powered on and it lifted itself into the air, taking a flight path dictated--only and exclusively--by code. The smart contract controlled the drone's trajectory, without the need for a middleman with a remote to manage the device.

In the early Space Age, the people who sent up satellites could operate under what's known as "big sky" theory. Space is so vast, so spacious, that we could never possibly use it all up. History, however, has repeatedly shown that whenever we think something is too abundant for humans to deplete, we're wrong. And so it is in space, where more and more satellites and space junk threaten to crash into each other and crowd out the future. In 2016, the Air Force's 18th Space Control Squadron had to tell satellite operators to watch out for each other 3,995,874 times.

The I.F.O. is fuelled by eight electric engines, which is able to push the flying object to an estimated top speed of about 120mph. The giant human-like robot bears a striking resemblance to the military robots starring in the movie'Avatar' and is claimed as a world first by its creators from a South Korean robotic company Waseda University's saxophonist robot WAS-5, developed by professor Atsuo Takanishi and Kaptain Rock playing one string light saber guitar perform jam session A man looks at an exhibit entitled'Mimus' a giant industrial robot which has been reprogrammed to interact with humans during a photocall at the new Design Museum in South Kensington, London Electrification Guru Dr. Wolfgang Ziebart talks about the electric Jaguar I-PACE concept SUV before it was unveiled before the Los Angeles Auto Show in Los Angeles, California, U.S The Jaguar I-PACE Concept car is the start of a new era for Jaguar.

IBM has unveiled Project Debater, a conversational artificial intelligence which can hold a debate using information from journals and newspaper articles. Project Debater began its training six years ago but it could only hold a debate with people two years ago. A demo was held for journalists at IBM's offices in San Francisco where the AI debated issues relating to healthcare and the subsidisation of space exploration. The company didn't give its AI an easy time either – it was competing against Dan Zafrir, President of the International Debate Society in Israel, and 2016 national Israel debate champion Noa Ovadia. Debater opened its supporting argument for space exploration subsidisation with facts such as how it benefits humankind because it helps advance scientific discoveries and inspires young people to think beyond themselves. Ovadia countered the argument saying there are better applications for government subsidies, including for scientific research here on Earth.

Today, an artificial intelligence (AI) system engaged in the first ever live, public debates with humans. At an event held at IBM's Watson West site in San Francisco, a champion debater and IBM's AI system, Project Debater, began by preparing arguments for and against the statement: "We should subsidize space exploration." Both sides then delivered a four-minute opening statement, a four-minute rebuttal, and a two-minute summary. Project Debater made an opening argument that supported the statement with facts, including the points that space exploration benefits human kind because it can help advance scientific discoveries and it inspires young people to think beyond themselves. Noa Ovadia, the 2016 Israeli national debate champion, opposed the statement, arguing that there are better applications for government subsidies, including subsidies for scientific research here on Earth.

Bobby Kasthuri has a problem. In an effort to understand, on the finest level, what makes us human, he's set out to create a complete map of the human brain: to chart where every neuron connects to every other neuron. The problem is, the brain has more connections than the Milky Way has stars. Just one millionth of the organ contains more information than all the written works in the Library of Congress. A map of the brain would represent the single largest dataset ever collected about anything in the history of the world. Making that map seems like a task that could consume not just one lifetime, but dozens.

Computer boffins have devised a potential hardware-based Trojan attack on neural network models that could be used to alter system output without detection. Adversarial attacks on neural networks and related deep learning systems have received considerable attention in recent years due to the growing use of AI-oriented systems. The researchers – doctoral student Joseph Clements and assistant professor of electrical and computer engineering Yingjie Lao at Clemson University in the US – say that they've come up with a novel threat model by which an attacker could maliciously modify hardware in the supply chain to interfere with the output of machine learning models run on the device. Attacks that focus on the supply chain appear to be fairly uncommon. In 2014, reports surfaced that the US National Security Agency participates in supply chain interdiction to intercept hardware in transit and insert backdoors.

Malicious cyber attacks against government and private businesses have increased in frequency and severity over past years. Microsoft estimates the potential cost of cyber-crime to the global community at $500 billion and that breaches of data will cost the average company around $3.8 million. The unfortunate truth is that the cybersecurity industry is largely unprepared for the increase in cyber attacks anticipated in the coming years. Cybersecurity professionals are finding it increasingly difficult to keep up with industry demand. The situation is expected to worsen by 2021, when as many as 3.5 million cybersecurity roles will remain unfilled. Considering that most IT professionals already work an average of 52 hours a week, it is unlikely they will be able to further compensate for the lack of new talent.