Lifeboat Foundation

Artificial intelligence is permeating everybody’s lives through the face recognition, voice recognition, image analysis and natural language processing capabilities built into their smartphones and consumer appliances. Over the next several years, most new consumer devices will run AI natively, locally and, to an increasing extent, autonomously.

But there’s a problem: Traditional processors in most mobile devices aren’t optimized for AI, which tends to consume a lot of processing, memory, data and battery on these resource-constrained devices. As a result, AI has tended to execute slowly on mobile and “internet of things” endpoints, while draining their batteries rapidly, consuming inordinate wireless bandwidth and exposing sensitive local information as data makes roundtrips in the cloud.

That’s why mass-market mobile and IoT edge devices are increasingly coming equipped with systems-on-a-chip that are optimized for local AI processing. What distinguishes AI systems on a chip from traditional mobile processors is that they come with specialized neural-network processors, such as graphics processing units or GPUs, tensor processing units or TPUs, and field programming gate arrays or FPGAs. These AI-optimized chips offload neural-network processing from the device’s central processing unit chip, enabling more local autonomous AI processing and reducing the need to communicate with the cloud for AI processing.

Continue reading “New AI systems on a chip will spark an explosion of even smarter devices” »

Artificial intelligence is being used for a dizzying array of tasks, but one of the most successful is also one of the scariest: automated surveillance. Case in point is Chinese startup SenseTime, which makes AI-powered surveillance software for the country’s police, and which this week received a new round of funding worth $600 million. This funding, led by retailing giant Alibaba, reportedly gives SenseTime a total valuation of more than $4.5 billion, making it the most valuable AI startup in the world, according to analyst firm CB Insights.

This news is significant for a number of reasons. First, it shows how China continues to pour money into artificial intelligence, both through government funding and private investment. Many are watching the competition between China and America to develop cutting-edge AI with great interest, and see investment as an important measure of progress. China has overtaken the US in this regard, although experts are quick to caution that it’s only one metric of success.

Secondly, the investment shows that image analysis is one of the most lucrative commercial applications for AI. SenseTime became profitable in 2017 and claims it has more than 400 clients and partners. It sells its AI-powered services to improve the camera apps of smartphone-makers like OPPO and Vivo; to offer “beautification” effects and AR filters on Chinese social media platforms like Weibo; and to provide identity verification for domestic finance and retail apps like Huanbei and Rong360.

Continue reading “The world’s most valuable AI startup is a Chinese company specializing in real-time surveillance” »

New computing architectures aim to extend artificial intelligence from the cloud to smartphones.

“Although smartphones and tablets are ubiquitous, many of the companies that make our everyday consumer products still rely on paper trails and manually updated spreadsheets to keep track of their production processes and delivery schedules,” says Leyuan Shi, a professor of industrial and systems engineering at the University of Wisconsin-Madison.

That’s what she hopes to change with a research idea she first published almost two decades ago.

During the past 16 years, Shi has visited more than 400 manufacturing companies in the United States, China, Europe, and Japan to personally observe their production processes. “And I have used that insight to develop tools that can make these processes run much more smoothly,” she says.

We are now a connected global community where many digital natives cannot remember a time before the iPhone. The rise of smart homes means that we are increasingly attaching our lighting, door locks, cameras, thermostats, and even toasters to our home networks. Managing our home automation through mobile apps or our voice illustrates how far we have evolved over the last few years.

However, in our quest for the cool and convenient, many have not stopped to consider their cybersecurity responsibilities. The device with the weakest security could allow hackers to exploit vulnerabilities on our network and access our home. But this is just the tip of the proverbial iceberg.

Businesses and even governments are starting to face up to the vulnerabilities of everything being online. Sophisticated and disruptive cyberattacks are continuing to increase in complexity and scale across multiple industries. Areas of our critical infrastructure such as energy, nuclear, water, aviation, and critical manufacturing have vulnerabilities that make them a target for cybercriminals and even a state-sponsored attack.

Seconds before the strongest earthquake in years shook Southern California, hundreds of people received an alert on their cell phones, giving them crucial time to prepare.

BuzzFeed News Reporter

In summary — “I am cautiously optimistic about the promise of tDCS; cognitive training paired with tDCS specifically could lead to improvements in attention and memory for people of all ages and make some huge changes in society. Maybe we could help to stave off cognitive decline in older adults or enhance cognitive skills, such as focus, in people such as airline pilots or soldiers, who need it the most. Still, I am happy to report that we have at least moved on from torpedo fish” smile

In 47 CE, Scri­bo­nius Largus, court physi­cian to the Roman emper­or Claudius, described in his Com­po­si­tiones a method for treat­ing chron­ic migraines: place tor­pe­do fish on the scalps of patients to ease their pain with elec­tric shocks. Largus was on the right path; our brains are com­prised of elec­tri­cal sig­nals that influ­ence how brain cells com­mu­ni­cate with each oth­er and in turn affect cog­ni­tive process­es such as mem­o­ry, emo­tion and attention.

The sci­ence of brain stim­u­la­tion – alter­ing elec­tri­cal sig­nals in the brain – has, need­less to say, changed in the past 2,000 years. Today we have a hand­ful of tran­scra­nial direct cur­rent stim­u­la­tion (tDCS) devices that deliv­er con­stant, low cur­rent to spe­cif­ic regions of the brain through elec­trodes on the scalp, for users rang­ing from online video-gamers to pro­fes­sion­al ath­letes and peo­ple with depres­sion. Yet cog­ni­tive neu­ro­sci­en­tists are still work­ing to under­stand just how much we can influ­ence brain sig­nals and improve cog­ni­tion with these techniques.

Continue reading “Research trend: Combining brain stimulation with cognitive training to enhance attention and memory” »

Companies are testing robots that help keep shelves stocked, as well as apps that let shoppers ring up items with a smartphone. High-tech systems like the one used by Amazon Go completely automate the checkout process. China, which has its own ambitious e-commerce companies, is emerging as an especially fertile place for these retail experiments.

But the opening of Amazon Go in January was alarming for many retailers, who saw a sudden willingness by Amazon to wield its technology power in new ways. Hundreds of cameras near the ceiling and sensors in the shelves help automatically tally the cookies, chips and soda that shoppers remove and put into their bags. Shoppers’ accounts are charged as they walk out the doors.

Amazon is now looking to expand Go to new areas. An Amazon spokeswoman declined to comment on its expansion plans, but the company has a job posting for a senior real estate manager who will be responsible for “site selection and acquisition” and field tours of “potential locations” for new Go stores.

Continue reading “Retailers Race Against Amazon to Automate Stores” »

O n the outskirts of Beijing, a policeman peers over his glasses at a driver stopped at a motorway checkpoint. As he looks at the man’s face, a tiny camera in one of the lenses of his glasses records his features and checks them with a national database.

The artificial intelligence-powered glasses are what Chinese citizens refer to as “black tech”, because they spot delinquents on the country’s “blacklist”. Other examples include robots for crowd control, drones that hover over the country’s borders, and intelligent systems to track behaviour online. Some reports claim the government has installed scanners that can forcibly read information from smartphones.

In the last two weeks, Facebook has been mired in a privacy storm in the UK and US over potential misuse of personal data. But such an event might baffle many in China, where the country’s surveillance culture eclipses anything Facebook has done.

Continue reading “No-limits China sets its sights on AI top spot” »