Lifeboat Foundation

Samsung’s next big product according to them seems to be a revolutionary neuromorphic computing chip which is attempting to enable Artificial Intelligence models to become as smart as humans. The top leading AI scientists are expecting for AI models to outpace the rate of moores law which means we’ll need to design new kinds of processors and computer chips beyond silicon. That’s where Samsung’s Brain of a Chip approach is supposed to help. It would be a chip that mimics the brain in terms of performance and power consumption which is called Neuromorphic chip design or computing and is believed to be the future of Artificial Intelligence.

If you enjoyed this video, please consider rating this video and subscribing to our channel for more frequent uploads. Thank you! smile
–
TIMESTAMPS:
00:00 Samsung’s new Path forward for AI
01:10 The History of AI-Hardware.
02:01 What are Neuromorphic Processors?
04:25 What could this enable?
06:40 So what’s the future of AI Computing?
09:06 Last Words.
–
#samsung #ai #chip

Visit our sponsor, Brilliant: https://brilliant.org/IsaacArthur/
Artificial Intelligence offers many challenges, including criminals using AI to break the law, but also of AI, robots, and androids becoming criminals themselves.

Visit our Website: http://www.isaacarthur.net.
Support us on Patreon: https://www.patreon.com/IsaacArthur.
Facebook Group: https://www.facebook.com/groups/1583992725237264/
Reddit: https://www.reddit.com/r/IsaacArthur/
Twitter: https://twitter.com/Isaac_A_Arthur on Twitter and RT our future content.
SFIA Discord Server: https://discord.gg/53GAShE

Continue reading “Criminal AI” »

Yahoo has shut down access to its services in China, becoming the latest American tech company to exit the country.

It pulled the plug “in recognition of the increasingly challenging business and legal environment,” a Yahoo spokesperson said in a statement.

“Yahoo remains committed to the rights of our users and a free and open internet. We thank our users for their support.”

This company’s entry in the US; market; along with other aluminum giants is said to have caused the shutdown of a large number of Aluminum manufacturers based in the US. It seemed that local US companies were unable to compete with state backed companies which were taking advantage of the free trade agreement.

However, the trade tariffs along with recent events have in turn caused this firm to become insolvent. It’s founder is now being detained by the US under fraud charges.

Continue reading “China: Corporate debt crisis spreads/Zhongwang: suspended in stock market & fraud conviction in U.S.” »

As the world turns increasingly more digital and data-driven, there is an increasing desire for greater visibility and transparency of data. Governments around the world have turned to digital means to submit and pay taxes as well as collect a variety of revenue from different sources. Likewise, governments are making deeper use of data and systems for their expenditures and analyzing the patterns of that spending.

One of the lesser-known agencies in the US federal government is the Bureau of the Fiscal Service (BFS). As a bureau of the U.S. Department of the Treasury, the BSF manages the federal government’s accounting, central payment systems, and public debt. In essence, the BFS is the bookkeeper for the US federal government. A huge role given the trillions of dollars that flow through US coffers on an annual basis. Since the Federal Funding Accountability and Transparency Act of 2006 (FFATA) was signed into law on September 26 2006, the BFS has embarked on a number of wide ranging data-centric efforts to provide visibility into government spending including USASpending.gov, FiscalData.Treasury.gov, and DataLab.USASpending.gov.

Not surprisingly, the BFS has also invested heavily in the use of AI, the main topic of an upcoming AI in Government presentation on November 18 2021 with Justin Marsico, Chief Data Officer of the Bureau of the Fiscal Service. In that presentation, Justin shares how deeply the bureau is investing in the use of AI and some of the ways in which it is providing insights into government spending and revenues.

AI & computational technology for improving drug discovery & development — mati gill, CEO, AION labs.

Mati Gill is the Chief Executive Officer, of AION Labs (https://aionlabs.com/), a company recently launched and backed by a coalition of pharma and tech leaders, including AstraZeneca, Merck, Pfizer, Teva, Amazon Web Services (AWS), and the Israel Biotech Fund (IBF) and Israel Innovation Authority, to improve the whole drug discovery & drug development process with AI and computational biology.

Continue reading “Mati Gill, CEO, AION Labs — AI & Computational Technology For Improving Drug Discovery & Development” »

The strategy outlines how AI can be applied to defence and security in a protected and ethical way. As such, it sets standards of responsible use of AI technologies, in accordance with international law and NATO’s values. It also addresses the threats posed by the use of AI by adversaries and how to establish trusted cooperation with the innovation community on AI.

Artificial Intelligence is one of the seven technological areas which NATO Allies have prioritized for their relevance to defence and security. These include quantum-enabled technologies, data and computing, autonomy, biotechnology and human enhancements, hypersonic technologies, and space. Of all these dual-use technologies, Artificial Intelligence is known to be the most pervasive, especially when combined with others like big data, autonomy, or biotechnology. To address this complex challenge, NATO Defence Ministers also approved NATO’s first policy on data exploitation.

Individual strategies will be developed for all priority areas, following the same ethical approach as that adopted for Artificial Intelligence.

Circa 2016 Basically means we can see contaminated water easier.

Detection and quantification of contaminants or pollutants in surface waters is of great importance to ensure safety of drinking water and for the aquatic environment^1,2,3,4,5,6. Metaldehyde (CH₃CHO)₄ is a cyclic tetramer of acetaldehyde and is used extensively around the world as a molluscicide in agriculture for the control of slugs to protect crops. Large amounts of metaldehyde residues (from ‘slug pellets’) become mobilized, especially during periods of rainfall, seeping into reservoirs, rivers and groundwater, from which drinking water is sourced. Although metaldehyde has low toxicity, cases of metaldehyde poisoning and death in both humans and animals have been reported^6,7,8. The United States Environmental Protection Agency (EPA) re-registered metaldehyde as a ‘restricted use pesticide’ and required risk-reduction measures to be adopted due to the potential short-term and long-term effects on wildelife^9,10. The World Health Organization (WHO) classifies metaldehyde as a “moderately hazardous” pesticide (class II)¹¹. In Europe, the European Commission has adopted a directive that restricts pesticides levels to 0.1 μg/L in drinking water^12,13. Water companies and environmental agencies are under increasing pressure to routinely monitor levels of metaldehyde residues in water courses as part of their legal obligation¹⁴. As such there is an increasing need to develop effective analytical methods for detecting and quantifying metaldehyde in water samples at the source. In particular in-situ monitoring is required to ensure water management practices are based on empirical, up-to-date information which provides a better understanding of competing factors, risk and requirement.

Rapid analytical methods for in-situ analysis of metaldehyde in water, if available, would provide critical information on water quality for water companies and regulation bodies to manage exposures. Quantitative analysis of metaldehyde has been reported using various ex-situ methods based on solid-phase extraction^8,15 followed by gas chromatography (GC) or high performance liquid chromatography (HPLC) with mass spectrometry (MS)^{7,14,15,16,17,18}. However, each of these analytical methods involves extensive sample preparation including extraction, separation, and derivatization, resulting in increased cost and time of analysis. As will be demonstrated in this study, ambient ionization (AI) combined with tandem mass spectrometry (MS/MS) can overcome such limitations^19,20,21,22.

Continue reading “Direct Analysis and Quantification of Metaldehyde in Water using Reactive Paper Spray Mass Spectrometry” »

A truck fleet accident costs an average of $16,500 in damages and $57,500 in injury-related costs for a total of $74,000. “This does not include a broad range of ‘hidden’ costs, including reduced vehicle value (typically anywhere from $500 to $2,000), higher insurance premium, legal fees, driver turnover (the average driver replacement cost = $8,200), lost employee time, lost vehicle-use time, administrative burden, reduced employee morale and bad publicity,” said Yoav Banin, chief product officer at Nauto, which provides artificial intelligence driver and fleet performance solutions.

Emphasis on truck driving safety is well placed, considering other challenges that the trucking industry is facing.

Ranking first is a chronic shortage of truck drivers nationwide that could force fleet operators to hire less-experienced drivers who require operator and safety training. Driver compensation and truck parking ranked second and third, but immediately behind them in fourth and fifth position were driver truck fleet safety and insurance availability, which depends on safe driving records.