From ecosystem development to talent, much effort is still required for practical implementation of edge AI.
By Pushkar Apte and Tom Salmon
Rapid advances in artificial intelligence (AI) have made this technology important for many industries, including finance, energy, healthcare, and microelectronics. AI is driving a multi-trillion-dollar global market while helping to solve some tough societal problems such as tracking the current pandemic and predicting the severity of climate-driven events like hurricanes and wildfires.
FedEx Corp. and self-driving vehicle startup Aurora Innovation Inc. are launching a pilot program for autonomous-truck shipments between Dallas and Houston, with the companies announcing Wednesday what they called a first-of-its-kind partnership involving the two companies and a truck maker.
“This is an exciting, industry-first collaboration that will work toward enhancing the logistics industry through safer, more efficient transportation of goods,” said Rebecca Yeung, vice president of advanced technology and innovation at FedEx FDX,-9.12% 0 in a news release.
Elon Musk has warned humanity many times about the dangers of superhuman AI. He thinks the advent of digital superintelligence will bring about profound changes to human civilization. Elon Musk thinks the technological singularity could either be super beneficial or it could be terrible for our society. Elon said that no one knows for sure the impact superhuman AI will have on our world but that one thing is for certain: We will not be able to control it. He thinks artificial intelligence will be used as a weapon and warns that the lack of AI regulation could mean it’s already too late for humanity.
Elon Musk now has adopted a “fatalistic” attitude towards the AI control problem because he feels that nothing is being done to try to mitigate the negative effects of future AI systems.
The reasonable concern about a possible extinction level event from digital Superintelligence stems from the period of time in which Narrow AI achieves artificial general intelligence. Where presumably in this time frame we can do something to stack the odds in our favor.
Today, right now, with our seemingly endless desire for better, faster and cheaper technology, we are collectively contributing in building future AI systems. Whether we are aware of it or not. As Elon Musk put it: We are the biological bootloader for AI.
One common criticism of Elon Musk is his focus on the development of AI systems such as Neuralink, the implantable brain–machine interface all the while he warns about the dangers of AI. While some view this as hypocrisy, Elon Musk like many others involved in the field of AI believe that the ultimate solution to the AI control or alignment problem is the merging of AI with humans.
Hopefully the merge scenario between humans and machines will prove to be key for solving the AI control problem.
Science is examining the brain’s neural activity for applications ranging from innovative therapies for brain-related injuries and disease to computational learning architectures for artificial intelligence and deep neural networks.
A research team has developed a tool that lets researchers see more of a live mouse’s brain, to make discoveries that can advance research into the neural circuit mechanisms that form the underlying behavior of the human brain. The tool overcomes the drawback of traditional brain probes—the small amount of tissue they can access, which limits their ability to image neurons of interest.
The innovation is to insert an imaging probe with side-viewing capabilities into a previously inserted optically matched channel—an ultrathin-wall glass capillary—to convert deep brain imaging into endoscopic imaging. The operator can freely rotate the probe to image different brain regions, getting a 360-degree view for imaging along the entire length of the inserted probe. This large-volume imaging enables an increase of about 1,000 times in tissue access volume, compared with what is available for imaging at the tip of typical miniature imaging probes.
The pharmaceuticals firm GSK has struck a five-year partnership with King’s College London to use artificial intelligence to develop personalised treatments for cancer by investigating the role played by genetics in the disease.
The tie-up, which involves 10 of the drug maker’s artificial intelligence experts working with 10 oncology specialists from King’s across their labs, will use computing to “play chess with cancer”, working out why only a fifth of patients respond well to immuno-oncology treatments.
The new artificial intelligence tool has already led to the discovery of four new materials.
Researchers at the University of Liverpool have created a collaborative artificial intelligence tool that reduces the time and effort required to discover truly new materials.
Reported in the journal Nature Communications, the new tool has already led to the discovery of four new materials including a new family of solid state materials that conduct lithium. Such solid electrolytes will be key to the development of solid state batteries offering longer range and increased safety for electric vehicles. Further promising materials are in development.
EXCLUSIVE Pricier sex robots have already been equipped with a range of artificial intelligence features, with customers shelling out thousands on groundbreaking synthetic companions dailystar.
Welcome to AI book reviews, a series of posts that explore the latest literature on artificial intelligence.
Recent advances in deep learning have rekindled interest in the imminence of machines that can think and act like humans, or artificial general intelligence. By following the path of building bigger and better neural networks, the thinking goes, we will be able to get closer and closer to creating a digital version of the human brain.
But this is a myth, argues computer scientist Erik Larson, and all evidence suggests that human and machine intelligence are radically different. Larson’s new book, The Myth of Artificial Intelligence: Why Computers Can’t Think the Way We Do, discusses how widely publicized misconceptions about intelligence and inference have led AI research down narrow paths that are limiting innovation and scientific discoveries.
As artificial intelligence grows in intelligence, militaries are incorporating the tech into their arsenal. From Minority Report style predictive AI to anti-aging research, AI is steadily being introduced to everything. In one bizarre example, the Israeli military has created an AI Sniper Rifle.
Reported by The New York Times, Israeli operatives carried out an assassination mission with an AI Sniper Rifle. Conducted in November 2,020 the Israeli military used a “souped-up, remote-controlled” rifle to kill Iranian nuclear scientist Mohsen Fakhrizadeh. The military had been chasing the target “for at least 14 years”.
The Israeli military has reportedly used an AI Sniper Rifle to assassinate Iranian nuclear scientist Mohsen Fakhrizadeh after 14 years of trying.
