This chart below shows you how formidable a lead the US has over the rest of the World in terms of AI. It’s number one in terms of talent, infrastructure, research, and commercial investment. America is also unlikely to lose this lead in the near future; in terms of scores, the US scores 100 out of 100, and the second player who is China comes in at a distant 58
AI trends: Researchers have created a “Terminator-like” liquid metal
“Moreover, the vertically stretched MLMD (magnetic liquid metal droplet) can move horizontally with its half body in the solution and the other half in the air, which resembles the nature of an upright walking amphibian,” the researchers wrote in the study’s abstract.
The research, published in Applied Materials & Interfaces, highlights how liquid metals such as gallium, when mixed with nickel or iron, are actually able to be manipulated into different shapes, with the use of magnets
“MLMD presents a fundamental and promising platform for the liquid metals to further develop the multi-freedom actuation in free space and eventually lead to the dynamically reconfigurable intelligent and biomimetic soft robots in the future,” the researchers wrote. https://fxn.ws/30ulytL
Researchers have developed ‘the first liquid metal lattice in the world.’ The team has created a series of prototypes that return to their shapes when crushed.
Pu Zhang likes to compare his team’s research on liquid metals to the Terminator — specifically 1991’s Terminator 2: Judgment Day, in which a killer robot sent from a grim future can transform into anyone and anything in pursuit of its human prey https://bit.ly/2WztmJx
AI trends: the advance of cultured meat
The product in the fryer is a JUST prototype chicken nugget, which costs about $50 to make. It is manufactured from what the industry calls cultured, cell-based or cultivated meat (though the outside World knows it more commonly as lab-grown meat). Not to be confused with “meat” that is plant-derived, it is produced directly from animal cells with little need to raise and no need to slaughter actual animals. It is a technology with the potential to fundamentally change the World – significantly replacing the way meat is produced now with a kinder and less environmentally damaging alternative.
Cultured meat is a “colossal” market opportunity says Bruce Friedrich, co-founder and executive director of the Good Food Institute (GFI), a nonprofit organisation that promotes cultured meat and plant-based meat. Even a tiny bite of the $1.4tn annual global meat market would be a lot. https://bit.ly/39eAtwh
As the technology to produce meat and dairy in the lab gets better and less expensive, the beef and dairy industries will collapse by 2030, according to a forecast written by think tank RethinkX. The group, which forecast the speed and scale of technology-driven disruption, projects demand for cow-associated products will fall by 70% in 11 years.
The current animal-centric way of food production will be replaced by what report authors call a “food-as-software” model. Under this plan, scientists would engineer food at a molecular level and upload them to databases that are accessible to food designers worldwide. The report states this can geographically spread out food production and make high-quality food that is not subject to price volatility or threats posed by weather, disease or trade.
The study predicts far-reaching economic impacts. These lab-grown foods will cost half of what the conventional prices do — if not less. Beef and dairy companies will be decimated, with revenues down 90% and about 90% of the 1.2 million US jobs in those industries lost by 2035. But about a quarter of the continental US now dedicated to livestock and feed production will be available for other uses, and greenhouse gas emissions from the food industry will be down 45% in 2030, the study says. https://bit.ly/2WEXjbn
Eventually, they will succeed in creating artificial steak that is identical in nature to one that is obtained by killing a cow. Once the safety issue is out of the way, 99% will opt for the lab steak, and that will be the end of ranching.
AI trends: Lab-grown food will soon destroy farming
It sounds like a miracle, but no great technological leaps were required. In a commercial lab on the outskirts of Helsinki, I watched scientists turn water into food. Through a porthole in a metal tank, I could see a yellow froth churning. It’s a primordial soup of bacteria, taken from the soil and multiplied in the laboratory, using hydrogen extracted from water as its energy source. When the froth was siphoned through a tangle of pipes
This flour is not yet licensed for sale. But the scientists, working for a company called Solar Foods, were allowed to give me some while filming our documentary Apocalypse Cow. I asked them to make me a pancake: I would be the first person on Earth, beyond the lab staff, to eat such a thing. They set up a frying pan in the lab, mixed the flour with oat milk, and I took my small step for man. It tasted … just like a pancake.
The hydrogen pathway used by Solar Foods is about 10 times as efficient as photosynthesis. But because only part of a plant can be eaten, while the bacterial flour is mangetout, you can multiply that efficiency several times. And because it will be brewed in giant vats the land efficiency, the company estimates is roughly 20,000 times greater. Everyone on Earth could be handsomely fed, and using a tiny fraction of its surface. If, as the company intends, the water used in the process (which is much less than required by farming) is electrolysed with solar power, the best places to build these plants will be deserts. https://bit.ly/2ZNErsF
This is true for the big commercial farms, they will sink to the bottom like lead, but the small farmer that focusses on creating something unique should thrive. Unique could simply mean growing fruits or veggies that pack three times the nutrients of commercial products because of the way the soil is tilled and the natural fertiliser used. And yes, this can be done.
Next-Gen Batteries to Power Up Electric Vehicle Installed Base to 100 Million by 2028
“The only way to significantly advance energy density is to add silicon to the Li-ion battery. The current approach of adding silicon in small incremental percentages (<10%) will enable energy density increases to 300 Wh/kg over the next 3-5 years,” Hodgson explains.
Between 2023 and 2025, expect continually increasing silicon in batteries to the point where developments will enable silicon-dominant anode. Given the research taking place in lithium-silicon batteries and the increasing percentage of silicon in EV batteries, ABI Research believes this is the next logical step. Silicon-dominant batteries would likely enable energy densities of up to 400 Wh/kg by 2025. Most vehicles using this technology will likely have charging powers of 300 kW+. https://bit.ly/3fNgtDn
There are other technologies that when combined, could push these batteries to have double to triple the suggested capacity (above) in the same period.
Future batteries: Charge in seconds, last months and power over the air
Monash University researchers have developed a lithium-sulphur battery that can power a smartphone for 5 days, outperforming lithium-ion. The researchers have fabricated this battery, have patents and the interest of manufacturers. The group has funding for further research in 2020, saying that continued research into cars and grid use will continue.
The new battery technology is said to have a lower environmental impact than lithium-ion and lower manufacturing costs, while offering the potential to power a vehicle for 1000km (620 miles), or a smartphone for 5 days.
IBM Research is reporting that it has discovered new battery chemistry that is free from heavy metals like nickel and cobalt and could potentially out-perform lithium-ion. IBM Research says that this chemistry has never been used in combination in a battery before and that the materials can be extracted from seawater. IBM Research points out that these advantages will make its new battery technology suitable for electric vehicles, and it is working with Mercedes-Benz amongst others to develop this technology into a viable commercial battery. https://bit.ly/32CT6ZI
The above article is quite long; we just listed two of the companies it covers in the story. Not all will succeed, but when you have big names like IBM, etc, one or two are bound to succeed, and that is all it takes to disrupt the old-world order. For example, today’s utility providers are sitting ducks unless they adapt extremely fast, most won’t change so the landscape will be ridden with corpses of these once-mighty giants.
ARM unveils two new AI computer chip designs
The company says that by yoking the two new chips together as a team, it managed to achieve a 480-times increase in the speed of running machine learning tasks compared to its previous Cortex M chips in benchmark tests. (The first 15-times speed-up comes from the M55, with an additional 32-times improvement from marrying it with the Ethos-U55.) Using the two chips together also results in a 25-times improvement in energy efficiency, which is critical for many devices which must depend on battery power. ARM did not say how its new chips perform against competing A.I.-specific ones.
The new chips allow AI applications to be brought to areas such as farming, where hundreds or thousands of low-cost sensors equipped with machine learning, can be used to carefully calibrate how much water, fertiliser, or insecticide each plant should receive, Dipti Vachani, ARM’s senior vice president and general manager for automotive and IoT business, says. IoT stands for the Internet of Things, the idea of connecting all kinds of new devices, from security cameras to toasters, to the Internet.
Vachani also says that getting AI to function on relatively low-powered devices, rather than having to be in constant communication with cloud-based data centres where most AI workloads are run today, is critical for data security and privacy. For instance, she says smart speakers, such as Alexa or Google Home, could run speech recognition and some machine learning applications directly on the device. Today, those devices have to transmit data through the Internet to remote data centres, raising the concerns about cybersecurity and eavesdropping. https://bit.ly/3jjfJrX